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This is a sponsored article brought to you by Amazon. The cutting edge of robotics and artificial intelligence (AI) doesn’t occur just at NASA, or one of the top university labs, but instead is increasingly being developed in the warehouses of the e-commerce company Amazon. As online shopping continues to grow, companies like Amazon are pushing the boundaries of these technologies to meet consumer expectations. Warehouses, the backbone of the global supply chain, are undergoing a transformation driven by technological innovation. Amazon, at the forefront of this revolution, is leveraging robotics and AI to shape the warehouses of the future. Far from being just a logistics organization, Amazon is positioning itself as a leader in technological innovation, making it a prime destination for engineers and scientists seeking to shape the future of automation. Amazon: A Leader in Technological Innovation Amazon’s success in e-commerce is built on a foundation of continuous technological innovation. Its fulfillment centers are increasingly becoming hubs of cutting-edge technology where robotics and AI play a pivotal role. Heath Ruder, Director of Product Management at Amazon, explains how Amazon’s approach to integrating robotics with advanced material handling equipment is shaping the future of its warehouses. “We’re integrating several large-scale products into our next-generation fulfillment center in Shreveport, Louisiana,” says Ruder. “It’s our first opportunity to get our robotics systems combined under one roof and understand the end-to-end mechanics of how a building can run with incorporated autonomation.” Ruder is referring to the facility’s deployment of its Automated Storage and Retrieval Systems (ASRS), called Sequoia, as well as robotic arms like “Robin” and “Cardinal” and Amazon’s proprietary autonomous mobile robot, “Proteus”. Amazon has already deployed “Robin”, a robotic arm that sorts packages for outbound shipping by transferring packages from conveyors to mobile robots. This system is already in use across various Amazon fulfillment centers and has completed over three billion successful package moves. “Cardinal” is another robotic arm system that efficiently packs packages into carts before the carts are loaded onto delivery trucks. “Proteus” is Amazon’s autonomous mobile robot designed to work around people. Unlike traditional robots confined to a restricted area, Proteus is fully autonomous and navigates through fulfillment centers using sensors and a mix of AI-based and ML systems. It works with human workers and other robots to transport carts full of packages more efficiently. The integration of these technologies is estimated to increase operational efficiency by 25 percent. “Our goal is to improve speed, quality, and cost. The efficiency gains we’re seeing from these systems are substantial,” says Ruder. However, the real challenge is scaling this technology across Amazon’s global network of fulfillment centers. “Shreveport was our testing ground and we are excited about what we have learned and will apply at our next building launching in 2025.” Amazon’s investment in cutting-edge robotics and AI systems is not just about operational efficiency. It underscores the company’s commitment to being a leader in technological innovation and workplace safety, making it a top destination for engineers and scientists looking to solve complex, real-world problems. How AI Models Are Trained: Learning from the Real World One of the most complex challenges Amazon’s robotics team faces is how to make robots capable of handling a wide variety of tasks that require discernment. Mike Wolf, a principal scientist at Amazon Robotics, plays a key role in developing AI models that enable robots to better manipulate objects, across a nearly infinite variety of scenarios. “The complexity of Amazon’s product catalog—hundreds of millions of unique items—demands advanced AI systems that can make real-time decisions about object handling,” explains Wolf. But how do these AI systems learn to handle such an immense variety of objects? Wolf’s team is developing machine learning algorithms that enable robots to learn from experience. “We’re developing the next generation of AI and robotics. For anyone interested in this field, Amazon is the place where you can make a difference on a global scale.” —Mike Wolf, Amazon Robotics In fact, robots at Amazon continuously gather data from their interactions with objects, refining their ability to predict how items will be affected when manipulated. Every interaction a robot has—whether it’s picking up a package or placing it into a container—feeds back into the system, refining the AI model and helping the robot to improve. “AI is continually learning from failure cases,” says Wolf. “Every time a robot fails to complete a task successfully, that’s actually an opportunity for the system to learn and improve.” This data-centric approach supports the development of state-of-the-art AI systems that can perform increasingly complex tasks, such as predicting how objects are affected when manipulated. This predictive ability will help robots determine the best way to pack irregularly shaped objects into containers or handle fragile items without damaging them. “We want AI that understands the physics of the environment, not just basic object recognition. The goal is to predict how objects will move and interact with one another in real time,” Wolf says. What’s Next in Warehouse Automation Valerie Samzun, Senior Technical Product Manager at Amazon, leads a cutting-edge robotics program that aims to enhance workplace safety and make jobs more rewarding, fulfilling, and intellectually stimulating by allowing robots to handle repetitive tasks. “The goal is to reduce certain repetitive and physically demanding tasks from associates,” explains Samzun. “This allows them to focus on higher-value tasks in skilled roles.” This shift not only makes warehouse operations more efficient but also opens up new opportunities for workers to advance their careers by developing new technical skills. “Our research combines several cutting-edge technologies,” Samzun shared. “The project uses robotic arms equipped with compliant manipulation tools to detect the amount of force needed to move items without damaging them or other items.” This is an advancement that incorporates learnings from previous Amazon robotics projects. “This approach allows our robots to understand how to interact with different objects in a way that’s safe and efficient,” says Samzun. In addition to robotic manipulation, the project relies heavily on AI-driven algorithms that determine the best way to handle items and utilize space. Samzun believes the technology will eventually expand to other parts of Amazon’s operations, finding multiple applications across its vast network. “The potential applications for compliant manipulation are huge,” she says. Attracting Engineers and Scientists: Why Amazon is the Place to Be As Amazon continues to push the boundaries of what’s possible with robotics and AI, it’s also becoming a highly attractive destination for engineers, scientists, and technical professionals. Both Wolf and Samzun emphasize the unique opportunities Amazon offers to those interested in solving real-world problems at scale. For Wolf, who transitioned to Amazon from NASA’s Jet Propulsion Laboratory, the appeal lies in the sheer impact of the work. “The draw of Amazon is the ability to see your work deployed at scale. There’s no other place in the world where you can see your robotics work making a direct impact on millions of people’s lives every day,” he says. Wolf also highlights the collaborative nature of Amazon’s technical teams. Whether working on AI algorithms or robotic hardware, scientists and engineers at Amazon are constantly collaborating to solve new challenges. Amazon’s culture of innovation extends beyond just technology. It’s also about empowering people. Samzun, who comes from a non-engineering background, points out that Amazon is a place where anyone with the right mindset can thrive, regardless of their academic background. “I came from a business management background and found myself leading a robotics project,” she says. “Amazon provides the platform for you to grow, learn new skills, and work on some of the most exciting projects in the world.” For young engineers and scientists, Amazon offers a unique opportunity to work on state-of-the-art technology that has real-world impact. “We’re developing the next generation of AI and robotics,” says Wolf. “For anyone interested in this field, Amazon is the place where you can make a difference on a global scale.” The Future of Warehousing: A Fusion of Technology and Talent From Amazon’s leadership, it’s clear that the future of warehousing is about more than just automation. It’s about harnessing the power of robotics and AI to create smarter, more efficient, and safer working environments. But at its core it remains centered on people in its operations and those who make this technology possible—engineers, scientists, and technical professionals who are driven to solve some of the world’s most complex problems. Amazon’s commitment to innovation, combined with its vast operational scale, makes it a leader in warehouse automation. The company’s focus on integrating robotics, AI, and human collaboration is transforming how goods are processed, stored, and delivered. And with so many innovative projects underway, the future of Amazon’s warehouses is one where technology and human ingenuity work hand in hand. “We’re building systems that push the limits of robotics and AI,” says Wolf. “If you want to work on the cutting edge, this is the place to be.”
For more than a century, women and racial minorities have fought for access to education and employment opportunities once reserved exclusively for white men. The life of Yvonne Young “Y.Y.” Clark is a testament to the power of perseverance in that fight. As a smart Black woman who shattered the barriers imposed by race and gender, she made history multiple times during her career in academia and industry. She probably is best known as the first woman to serve as a faculty member in the engineering college at Tennessee State University, in Nashville. Her pioneering spirit extended far beyond the classroom, however, as she continuously staked out new territory for women and Black professionals in engineering. She accomplished a lot before she died on 27 January 2019 at her home in Nashville at the age of 89. Clark is the subject of the latest biography in IEEE-USA’s Famous Women Engineers in History series. “Don’t Give Up” was her mantra. An early passion for technology Born on 13 April 1929 in Houston, Clark moved with her family to Louisville, Ky., as a baby. She was raised in an academically driven household. Her father, Dr. Coleman M. Young Jr., was a surgeon. Her mother, Hortense H. Young, was a library scientist and journalist. Her mother’s “Tense Topics” column, published by the Louisville Defender newspaper, tackled segregation, housing discrimination, and civil rights issues, instilling awareness of social justice in Y.Y. Clark’s passion for technology became evident at a young age. As a child, she secretly repaired her family’s malfunctioning toaster, surprising her parents. It was a defining moment, signaling to her family that she was destined for a career in engineering—not in education like her older sister, a high school math teacher. “Y.Y.’s family didn’t create her passion or her talents. Those were her own,” said Carol Sutton Lewis, co-host and producer for the third season of the “Lost Women of Science” podcast, on which Clark was profiled. “What her family did do, and what they would continue to do, was make her interests viable in a world that wasn’t fair.” Clark’s interest in studying engineering was precipitated by her passion for aeronautics. She said all the pilots she spoke with had studied engineering, so she was determined to do so. She joined the Civil Air Patrol and took simulated flying lessons. She then learned to fly an airplane with the help of a family friend. Despite her academic excellence, though, racial barriers stood in her way. She graduated at age 16 from Louisville’s Central High School in 1945. Her parents, concerned that she was too young to attend college, sent her to Boston for two additional years at the Girls’ Latin School and Roxbury Memorial High School. She then applied to the University of Louisville, where she was initially accepted and offered a full scholarship. When university administrators realized she was Black, however, they rescinded the scholarship and the admission, Clark said on the “Lost Women of Science” podcast, which included clips from when her daughter interviewed her in 2007. As Clark explained in the interview, the state of Kentucky offered to pay her tuition to attend Howard University, a historically Black college in Washington, D.C., rather than integrate its publicly funded university. Breaking barriers in higher education Although Howard provided an opportunity, it was not free of discrimination. Clark faced gender-based barriers, according to the IEEE-USA biography. She was the only woman among 300 mechanical engineering students, many of whom were World War II veterans. “Y.Y.’s family didn’t create her passion or her talents. Those were her own. What her family did do, and what they would continue to do, was make her interests viable in a world that wasn’t fair.” —Carol Sutton Lewis Despite the challenges, she persevered and in 1951 became the first woman to earn a bachelor’s degree in mechanical engineering from the university. The school downplayed her historic achievement, however. In fact, she was not allowed to march with her classmates at graduation. Instead, she received her diploma during a private ceremony in the university president’s office. A career defined by firsts Determined to forge a career in engineering, Clark repeatedly encountered racial and gender discrimination. In a 2007 Society of Women Engineers (SWE) StoryCorps interview, she recalled that when she applied for an engineering position with the U.S. Navy, the interviewer bluntly told her, “I don’t think I can hire you.” When she asked why not, he replied, “You’re female, and all engineers go out on a shakedown cruise,” the trip during which the performance of a ship is tested before it enters service or after it undergoes major changes such as an overhaul. She said the interviewer told her, “The omen is: ‘No females on the shakedown cruise.’” Clark eventually landed a job with the U.S. Army’s Frankford Arsenal gauge laboratories in Philadelphia, becoming the first Black woman hired there. She designed gauges and finalized product drawings for the small-arms ammunition and range-finding instruments manufactured there. Tensions arose, however, when some of her colleagues resented that she earned more money due to overtime pay, according to the IEEE-USA biography. To ease workplace tensions, the Army reduced her hours, prompting her to seek other opportunities. Her future husband, Bill Clark, saw the difficulty she was having securing interviews, and suggested she use the gender-neutral name Y.Y. on her résumé. The tactic worked. She became the first Black woman hired by RCA in 1955. She worked for the company’s electronic tube division in Camden, N.J. Although she excelled at designing factory equipment, she encountered more workplace hostility. “Sadly,” the IEEE-USA biography says, she “felt animosity from her colleagues and resentment for her success.” When Bill, who had taken a faculty position as a biochemistry instructor at Meharry Medical College in Nashville, proposed marriage, she eagerly accepted. They married in December 1955, and she moved to Nashville. In 1956 Clark applied for a full-time position at Ford Motor Co.’s Nashville glass plant, where she had interned during the summers while she was a Howard student. Despite her qualifications, she was denied the job due to her race and gender, she said. She decided to pursue a career in academia, becoming in 1956 the first woman to teach mechanical engineering at Tennessee State University. In 1965 she became the first woman to chair TSU’s mechanical engineering department. While teaching at TSU, she pursued further education, earning a master’s degree in engineering management from Nashville’s Vanderbilt University in 1972—another step in her lifelong commitment to professional growth. After 55 years with the university, where she was also a freshman student advisor for much of that time, Clark retired in 2011 and was named professor emeritus. A legacy of leadership and advocacy Clark’s influence extended far beyond TSU. She was active in the Society of Women Engineers after becoming its first Black member in 1951. Racism, however, followed her even within professional circles. At the 1957 SWE conference in Houston, the event’s hotel initially refused her entry due to segregation policies, according to a 2022 profile of Clark. Under pressure from the society’s leadership, the hotel compromised; Clark could attend sessions but had to be escorted by a white woman at all times and was not allowed to stay in the hotel despite having paid for a room. She was reimbursed and instead stayed with relatives. As a result of that incident, the SWE vowed never again to hold a conference in a segregated city. Over the decades, Clark remained a champion for women in STEM. In one SWE interview, she advised future generations: “Prepare yourself. Do your work. Don’t be afraid to ask questions, and benefit by meeting with other women. Whatever you like, learn about it and pursue it. “The environment is what you make it. Sometimes the environment is hostile, but don’t worry about it. Be aware of it so you aren’t blindsided.” Her contributions earned her numerous accolades including the 1998 SWE Distinguished Engineering Educator Award and the 2001 Tennessee Society of Professional Engineers Distinguished Service Award. A lasting impression Clark’s legacy was not confined to engineering; she was deeply involved in Nashville community service. She served on the board of the 18th Avenue Family Enrichment Center and participated in the Nashville Area Chamber of Commerce. She was active in the Hendersonville Area chapter of The Links, a volunteer service organization for Black women, and the Nashville alumnae chapter of the Delta Sigma Theta sorority. She also mentored members of the Boy Scouts, many of whom went on to pursue engineering careers. Clark spent her life knocking down barriers that tried to impede her. She didn’t just break the glass ceiling—she engineered a way through it for people who came after her.
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion. RoboSoft 2025: 23–26 April 2025, LAUSANNE, SWITZERLAND ICUAS 2025: 14–17 May 2025, CHARLOTTE, NC ICRA 2025: 19–23 May 2025, ATLANTA, GA London Humanoids Summit: 29–30 May 2025, LONDON IEEE RCAR 2025: 1–6 June 2025, TOYAMA, JAPAN 2025 Energy Drone & Robotics Summit: 16–18 June 2025, HOUSTON, TX RSS 2025: 21–25 June 2025, LOS ANGELES ETH Robotics Summer School: 21–27 June 2025, GENEVA IAS 2025: 30 June–4 July 2025, GENOA, ITALY ICRES 2025: 3–4 July 2025, PORTO, PORTUGAL IEEE World Haptics: 8–11 July 2025, SUWON, KOREA IFAC Symposium on Robotics: 15–18 July 2025, PARIS RoboCup 2025: 15–21 July 2025, BAHIA, BRAZIL RO-MAN 2025: 25–29 August 2025, EINDHOVEN, THE NETHERLANDS CLAWAR 2025: 5–7 September 2025, SHENZHEN World Robot Summit: 10–12 October 2025, OSAKA, JAPAN IROS 2025: 19–25 October 2025, HANGZHOU, CHINA IEEE Humanoids: 30 September–2 October 2025, SEOUL CoRL 2025: 27–30 September 2025, SEOUL Enjoy today’s videos! MIT engineers developed an insect-sized jumping robot that can traverse challenging terrains while using far less energy than an aerial robot of comparable size. This tiny, hopping robot can leap over tall obstacles and jump across slanted or uneven surfaces carrying about 10 times more payload than a similar-sized aerial robot, opening the door to many new applications. [ MIT ] CubiX is a wire-driven robot that connects to the environment through wires, with drones used to establish these connections. By integrating with various tools and a robot, it performs tasks beyond the limitations of its physical structure. [ JSK Lab ] Thanks, Shintaro! It’s a game a lot of us played as children—and maybe even later in life: unspooling measuring tape to see how far it would extend before bending. But to engineers at the University of California San Diego, this game was an inspiration, suggesting that measuring tape could become a great material for a robotic gripper. [ University of California San Diego ] I enjoyed the Murderbot books, and the trailer for the TV show actually looks not terrible. [ Murderbot ] For service robots, being able to operate an unmodified elevator is much more difficult (and much more important) than you might think. [ Pudu Robotics ] There’s a lot of buzz around impressive robotics demos — but taking Physical AI from demo to real-world deployment is a journey that demands serious engineering muscle. Hammering out the edge cases and getting to scale is 500x the effort of getting to the first demo. See our process for building this out for the singulation and induction Physical AI solution trusted by some of the world’s leading parcel carriers. Here’s to the teams likewise committed to the grind toward reliability and scale. [ Dexterity Robotics ] I am utterly charmed by the design of this little robot. [ RoMeLa ] This video shows a shortened version of Issey Miyake’s Fly With Me runway show from 2025 Paris Men’s Fashion Week. My collaborators and I brought two industrial robots to life to be the central feature of the minimalist scenography for the Japanese brand. Each ABB IRB 6640 robot held a two meter square piece of fabric, and moved synchronously in flowing motions to match the emotional timing of the runway show. With only three-weeks development time and three days on-site, I built custom live coding tools that opened up the industrial robots to more improvisational workflows. This level of reliable, real-time control unlocked the flexibility needed by the Issey Miyake team to make the necessary last-minute creative decisions for the show. [ Atonaton ] Meet Clone’s first musculoskeletal android: Protoclone, the most anatomically accurate robot in the world. Based on a natural human skeleton, Protoclone is actuated with over 1,000 Myofibers, Clone’s proprietary artificial muscle technology. [ Clone Robotics ] There are a lot of heavily produced humanoid robot videos from the companies selling them, but now that these platforms are entering the research space, we should start getting a more realistic sense of their capabilities. [ University College London ] Here’s a bit more footage from RIVR on their home delivery robot. [ RIVR ] And now, this. [ EngineAI ] Robots are at the heart of sci-fi, visions of the future, but what if that future is now? And what if those robots, helping us at work and at home, are simply an extension of the tools we’ve used for millions of years? That’s what artist and engineer Catie Cuan thinks, and it’s part of the reason she teaches robots to dance. In this episode we meet the people at the frontiers of the future of robotics and Astro Teller introduces two groundbreaking projects, Everyday Robots and Intrinsic, that have advanced how robots could work not just for us but with us. [ Moonshot Podcast ]
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion. RoboSoft 2025: 23–26 April 2025, LAUSANNE, SWITZERLAND ICUAS 2025: 14–17 May 2025, CHARLOTTE, NC ICRA 2025: 19–23 May 2025, ATLANTA, GA London Humanoids Summit: 29–30 May 2025, LONDON IEEE RCAR 2025: 1–6 June 2025, TOYAMA, JAPAN 2025 Energy Drone & Robotics Summit: 16–18 June 2025, HOUSTON, TX RSS 2025: 21–25 June 2025, LOS ANGELES ETH Robotics Summer School: 21–27 June 2025, GENEVA IAS 2025: 30 June–4 July 2025, GENOA, ITALY ICRES 2025: 3–4 July 2025, PORTO, PORTUGAL IEEE World Haptics: 8–11 July 2025, SUWON, KOREA IFAC Symposium on Robotics: 15–18 July 2025, PARIS RoboCup 2025: 15–21 July 2025, BAHIA, BRAZIL RO-MAN 2025: 25–29 August 2025, EINDHOVEN, THE NETHERLANDS CLAWAR 2025: 5–7 September 2025, SHENZHEN World Robot Summit: 10–12 October 2025, OSAKA, JAPAN IROS 2025: 19–25 October 2025, HANGZHOU, CHINA IEEE Humanoids: 30 September–2 October 2025, SEOUL CoRL 2025: 27–30 September 2025, SEOUL Enjoy today’s videos! I love the platform and I love the use case, but this particular delivery method is... Odd? [ RIVR ] This is just the beginning of what people and physical AI can accomplish together. To recognize business value from collaborative robotics, you have to understand what people do well, what robots do well—and how they best come together to create productivity. DHL and Robust.AI are partnering to define the future of human-robot collaboration. [ Robust AI ] Teleoperated robotic characters can perform expressive interactions with humans, relying on the operators’ experience and social intuition. In this work, we propose to create autonomous interactive robots, by training a model to imitate operator data. Our model is trained on a dataset of human-robot interactions, where an expert operator is asked to vary the interactions and mood of the robot, while the operator commands as well as the pose of the human and robot are recorded. [ Disney Research Studios ] Introducing THEMIS V2, our all-new full-size humanoid robot. Standing at 1.6m with 40 DoF, THEMIS V2 now features enhanced 6 DoF arms and advanced 7 DoF end-effectors, along with an additional body-mounted stereo camera and up to 200 TOPS of onboard AI computing power. These upgrades deliver exceptional capabilities in manipulation, perception, and navigation, pushing humanoid robotics to new heights. [ Westwood ] BMW x Figure Update: This isn’t a test environment—it’s real production operations. Real-world robots are advancing our Helix AI and strengthening our end-to-end autonomy to deploy millions of robots. [ Figure ] On March 13, at WorldMinds 2025, in the Kaufleuten Theater of Zurich, our team demonstrated for the first time two autonomous vision-based racing drones. It was an epic journey to prepare for this event, given the poor lighting conditions and the safety constraints of a theater filled with more than 500 people! The background screen visualizes in real-time the observations of the AI algorithm of each drone. No map, no IMU, no SLAM! [ University of Zurich (UZH) ] Unitree releases Dex5 dexterous hand. Single hand with 20 degrees of freedom (16 active+4 passive). Enable smooth backdrivability (direct force control). Equipped with 94 highly sensitive touch points (optional). [ Unitree ] You can say “real world manipulation” all you want, but until it’s actually in the real world, I’m not buying it. [ 1X ] Developed by Pudu X-Lab, FlashBot Arm elevates the capabilities of our flagship FlashBot by blending advanced humanoid manipulation and intelligent delivery capabilities, powered by cutting-edge embodied AI. This powerful combination allows the robot to autonomously perform a wide range of tasks across diverse settings, including hotels, office buildings, restaurants, retail spaces, and healthcare facilities. [ Pudu Robotics ] If you ever wanted to manipulate a trilby with 25 robots, a solution now exists. [ Paper ] via [ EPFL Reconfigurable Robotics Lab ] published by [ IEEE Robotics and Automation Letters ] We’ve been sharing videos from the Suzumori Endo Robotics Lab at the Institute of Science Tokyo for many years, and Professor Suzumori is now retiring. Best wishes to Professor Suzumori! [ Suzumori Endo Lab ] No matter the vehicle, traditional control systems struggle when unexpected challenges—like damage, unforeseen environments, or new missions—push them beyond their design limits. Our Learning Introspective Control (LINC) program aims to fundamentally improve the safety of mechanical systems, such as ground vehicles, ships, and robotics, using various machine learning methods that require minimal computing power. [ DARPA ] NASA’s Perseverance rover captured new images of multiple dust devils while exploring the rim of Jezero Crater on Mars. The largest dust devil was approximately 210 feet wide (65 meters). In this Mars Report, atmospheric scientist Priya Patel explains what dust devils can teach us about weather conditions on the Red Planet. [ NASA ]
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This is a sponsored article brought to you by Amazon. The cutting edge of robotics and artificial intelligence (AI) doesn’t occur just at NASA, or one of the top university labs, but instead is increasingly being developed in the warehouses of the e-commerce company Amazon. As online shopping continues to grow, companies like Amazon are pushing the boundaries of these technologies to meet consumer expectations. Warehouses, the backbone of the global supply chain, are undergoing a transformation driven by technological innovation. Amazon, at the forefront of this revolution, is leveraging robotics and AI to shape the warehouses of the future. Far from being just a logistics organization, Amazon is positioning itself as a leader in technological innovation, making it a prime destination for engineers and scientists seeking to shape the future of automation. Amazon: A Leader in Technological Innovation Amazon’s success in e-commerce is built on a foundation of continuous technological innovation. Its fulfillment centers are increasingly becoming hubs of cutting-edge technology where robotics and AI play a pivotal role. Heath Ruder, Director of Product Management at Amazon, explains how Amazon’s approach to integrating robotics with advanced material handling equipment is shaping the future of its warehouses. “We’re integrating several large-scale products into our next-generation fulfillment center in Shreveport, Louisiana,” says Ruder. “It’s our first opportunity to get our robotics systems combined under one roof and understand the end-to-end mechanics of how a building can run with incorporated autonomation.” Ruder is referring to the facility’s deployment of its Automated Storage and Retrieval Systems (ASRS), called Sequoia, as well as robotic arms like “Robin” and “Cardinal” and Amazon’s proprietary autonomous mobile robot, “Proteus”. Amazon has already deployed “Robin”, a robotic arm that sorts packages for outbound shipping by transferring packages from conveyors to mobile robots. This system is already in use across various Amazon fulfillment centers and has completed over three billion successful package moves. “Cardinal” is another robotic arm system that efficiently packs packages into carts before the carts are loaded onto delivery trucks. “Proteus” is Amazon’s autonomous mobile robot designed to work around people. Unlike traditional robots confined to a restricted area, Proteus is fully autonomous and navigates through fulfillment centers using sensors and a mix of AI-based and ML systems. It works with human workers and other robots to transport carts full of packages more efficiently. The integration of these technologies is estimated to increase operational efficiency by 25 percent. “Our goal is to improve speed, quality, and cost. The efficiency gains we’re seeing from these systems are substantial,” says Ruder. However, the real challenge is scaling this technology across Amazon’s global network of fulfillment centers. “Shreveport was our testing ground and we are excited about what we have learned and will apply at our next building launching in 2025.” Amazon’s investment in cutting-edge robotics and AI systems is not just about operational efficiency. It underscores the company’s commitment to being a leader in technological innovation and workplace safety, making it a top destination for engineers and scientists looking to solve complex, real-world problems. How AI Models Are Trained: Learning from the Real World One of the most complex challenges Amazon’s robotics team faces is how to make robots capable of handling a wide variety of tasks that require discernment. Mike Wolf, a principal scientist at Amazon Robotics, plays a key role in developing AI models that enable robots to better manipulate objects, across a nearly infinite variety of scenarios. “The complexity of Amazon’s product catalog—hundreds of millions of unique items—demands advanced AI systems that can make real-time decisions about object handling,” explains Wolf. But how do these AI systems learn to handle such an immense variety of objects? Wolf’s team is developing machine learning algorithms that enable robots to learn from experience. “We’re developing the next generation of AI and robotics. For anyone interested in this field, Amazon is the place where you can make a difference on a global scale.” —Mike Wolf, Amazon Robotics In fact, robots at Amazon continuously gather data from their interactions with objects, refining their ability to predict how items will be affected when manipulated. Every interaction a robot has—whether it’s picking up a package or placing it into a container—feeds back into the system, refining the AI model and helping the robot to improve. “AI is continually learning from failure cases,” says Wolf. “Every time a robot fails to complete a task successfully, that’s actually an opportunity for the system to learn and improve.” This data-centric approach supports the development of state-of-the-art AI systems that can perform increasingly complex tasks, such as predicting how objects are affected when manipulated. This predictive ability will help robots determine the best way to pack irregularly shaped objects into containers or handle fragile items without damaging them. “We want AI that understands the physics of the environment, not just basic object recognition. The goal is to predict how objects will move and interact with one another in real time,” Wolf says. What’s Next in Warehouse Automation Valerie Samzun, Senior Technical Product Manager at Amazon, leads a cutting-edge robotics program that aims to enhance workplace safety and make jobs more rewarding, fulfilling, and intellectually stimulating by allowing robots to handle repetitive tasks. “The goal is to reduce certain repetitive and physically demanding tasks from associates,” explains Samzun. “This allows them to focus on higher-value tasks in skilled roles.” This shift not only makes warehouse operations more efficient but also opens up new opportunities for workers to advance their careers by developing new technical skills. “Our research combines several cutting-edge technologies,” Samzun shared. “The project uses robotic arms equipped with compliant manipulation tools to detect the amount of force needed to move items without damaging them or other items.” This is an advancement that incorporates learnings from previous Amazon robotics projects. “This approach allows our robots to understand how to interact with different objects in a way that’s safe and efficient,” says Samzun. In addition to robotic manipulation, the project relies heavily on AI-driven algorithms that determine the best way to handle items and utilize space. Samzun believes the technology will eventually expand to other parts of Amazon’s operations, finding multiple applications across its vast network. “The potential applications for compliant manipulation are huge,” she says. Attracting Engineers and Scientists: Why Amazon is the Place to Be As Amazon continues to push the boundaries of what’s possible with robotics and AI, it’s also becoming a highly attractive destination for engineers, scientists, and technical professionals. Both Wolf and Samzun emphasize the unique opportunities Amazon offers to those interested in solving real-world problems at scale. For Wolf, who transitioned to Amazon from NASA’s Jet Propulsion Laboratory, the appeal lies in the sheer impact of the work. “The draw of Amazon is the ability to see your work deployed at scale. There’s no other place in the world where you can see your robotics work making a direct impact on millions of people’s lives every day,” he says. Wolf also highlights the collaborative nature of Amazon’s technical teams. Whether working on AI algorithms or robotic hardware, scientists and engineers at Amazon are constantly collaborating to solve new challenges. Amazon’s culture of innovation extends beyond just technology. It’s also about empowering people. Samzun, who comes from a non-engineering background, points out that Amazon is a place where anyone with the right mindset can thrive, regardless of their academic background. “I came from a business management background and found myself leading a robotics project,” she says. “Amazon provides the platform for you to grow, learn new skills, and work on some of the most exciting projects in the world.” For young engineers and scientists, Amazon offers a unique opportunity to work on state-of-the-art technology that has real-world impact. “We’re developing the next generation of AI and robotics,” says Wolf. “For anyone interested in this field, Amazon is the place where you can make a difference on a global scale.” The Future of Warehousing: A Fusion of Technology and Talent From Amazon’s leadership, it’s clear that the future of warehousing is about more than just automation. It’s about harnessing the power of robotics and AI to create smarter, more efficient, and safer working environments. But at its core it remains centered on people in its operations and those who make this technology possible—engineers, scientists, and technical professionals who are driven to solve some of the world’s most complex problems. Amazon’s commitment to innovation, combined with its vast operational scale, makes it a leader in warehouse automation. The company’s focus on integrating robotics, AI, and human collaboration is transforming how goods are processed, stored, and delivered. And with so many innovative projects underway, the future of Amazon’s warehouses is one where technology and human ingenuity work hand in hand. “We’re building systems that push the limits of robotics and AI,” says Wolf. “If you want to work on the cutting edge, this is the place to be.”
AI can only improve if its limits as well as its strengths are faced honestly
Yesterday’s news alert, nevertheless: The verdict is in.