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For years now, supply chains have sought the ability for robots to rapidly and accurately pick and place a wide range of objects. XYZ Robotics Inc. is one startup that is committed to meeting that challenge with a combination of machine learning and robotic manipulation. Peter Yu, chief technology officer at XYZ Robotics in Allston, Mass., recently spoke with The Robot Report about how robotics challenges led to his company’s development of its XYZ Rebinning Station and Picking Station, which he claimed is faster and more accurate than the competition. “E-commerce is labor-intensive and faces high turnover,” he said. “Our systems are autonomous, fast, and cost-effective solutions.” XYZ, a member of MassRobotics and the Robotic Industries Association , is debuting two products in Booth 9366 at Automate 2019 . The first is the XYZ Rebinning Station (XRS), an autonomous robotic turnkey system for warehouse putwall sorting and parcel sorting. The other product is the XYZ Picking Station (XPS), a robotic piece-picking solution for warehouse goods-to-person systems with pick rate at 1,200-1,800 SKUs per hour. XYZ Robotics built by award-winning talent The founders of XYZ Robotics have experience in developing robotic manipulation from their academic training and various competitions. Yu has a Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology, and CEO and Chief Scientist Jiaji Zhou has a Ph.D. in robotics from Carnegie Mellon University. “At MIT, I worked on physical modeling and state estimation for robotic manipulation,” Yu said. “My work on experimental data set for pushing manipulation was a best paper finalist at IROS,” he added, referring to the 2016 International Conference on Intelligent Robots and Systems. “Our CEO also worked on pushing modeling based-on machine learning and his paper won the best paper award at ICRA [International Conference on Robotics and […]