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When you touch objects in your surroundings, you can discern each item’ s physical properties from the rich array of haptic cues you experience, including both the tactile sensations arising in your skin and the kinesthetic cues originating in your muscles and joints. Although physical interaction with the world is at the core of human experience, few computer and machine interfaces provide the operator with high-fidelity touch feedback, limiting their usability . Similarly , autonomous robots rarely take advantage of touch perception and thus struggle to match the manipulation capabilities of humans. This talk will describe several research projects from Professor Kuchenbecker's laboratory , including data-driven haptic texture rendering, vibrotactile feedback of tool vibrations for robotic surgery , and robotic learning of haptic adjectives
Coffee and drinks will be served, starting from 9:30 am in the foyer H3. The talk is broadcasted to MPI-IS Tuebingen/ AGBS seminar room at the same time.
Katherine Kuchenbecker (University of Pennsylvania, Mechanical Engineering and Applied Mechanics (MEAM), Computer and Information Science (CIS)
Prof.
Katherine J. Kuchenbecker is an Associate Professor in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania. Her research centers on the design and control of haptic interfaces for applications such as robot-assisted surgery, medical simulation, stroke rehabilitation, and personal computing. She has won several awards for her research, including an NSF CAREER Award in 2009 and the IEEE Robotics and Automation Society Academic Early Career Award in 2012. Before becoming a professor, she completed a postdoctoral fellowship at the Johns Hopkins University, and she earned her Ph.D. in Mechanical Engineering at Stanford University in 2006.