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Improving Robot-Human Collaboration With the Help of IBM

ASU News (04/06/16) Monique Clement

Arizona State University (ASU) graduate student Tathagata Chakraborti's automated planning research could help address some of the problems that may arise when humans and autonomous systems interact. Chakraborti has investigated how autonomous agents sharing human workspaces can modify their behavior and respect human intentions, and he has tested planning algorithms for human-robot collaboration on robots in ASU's Yochan Lab. Chakraborti's research efforts have earned him an IBM Ph.D. Fellowship Award, and he will participate in an internship in May at IBM's Cognitive Algorithms Department, where he will join the Artificial Intelligence and Optimization Group and work on symbiotic human-AI systems. The next stage of his research at ASU is to work on the human side of the human-AI team by validating theoretical results on biological data to establish psychological or neuroscientific connections to how humans respond to robotic teammates. "This is vital in order for AI algorithms to move from the drawing board to actual integration with human workflows," Chakraborti says. "I believe that my research will contribute significantly to the progress of standalone automated planners toward addressing the requirements of the human component, and provide much-needed guidance for principled and well-informed design of intelligent symbiotic systems of the future."

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