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SUMMARY:Modeling human sensorimotor control for better control of surgical
  robots - Prof. Ilana Nisky\, Ben-Gurion University of the Negev / Univers
 ity of Cambridge
DTSTART:20211118T140000Z
DTEND:20211118T150000Z
UID:TALK165553@talks.cam.ac.uk
CONTACT:Thiago Burghi
DESCRIPTION:During everyday interaction with the external world\, for exam
 ple during surgery\, our brain graciously deals with a task that control e
 ngineers find very challenging – closed-loop control of movement and con
 tact forces with outdated and noisy information that arrives from multiple
  sensors. Robot-assisted minimally invasive surgery (RAMIS)\, where a surg
 eon manipulates a pair of joysticks that teleoperate instruments inside a 
 patient's body\, requires precise control of movement\, object and tissue 
 manipulation\, and perception. Despite many advantages for both the patien
 t and the surgeon\, the full potential of RAMIS and other teleoperation ap
 plications is yet to be realized. Two of the major progress-impeding gaps\
 , the lack of touch feedback and limited knowledge of how to measure skill
  and optimize training\, could be bridged by applying models of human sens
 orimotor control. We use behavioral studies to investigate the sensorimoto
 r system integrates information across time\, space\, and modalities\, for
  movement\, object manipulation\, and perception\, and how the motor syste
 m changes following adaptation and skill acquisition. I will present our r
 ecent results about human-centered stability and transparency in teleopera
 tion\, about the integration of tactile and kinesthetic information during
  interaction with virtual objects\, and our attempts to understand the acq
 uisition of RAMIS skill\, and will conclude with thoughts about how all th
 ese can be integrated with machine learning to achieve ultimate human-robo
 t collaboration in RAMIS.\n\nFor the Zoom link to this talk\, please e-mai
 l tbb29@cam.ac.uk
LOCATION:Dyson Seminar Room\, Department of Engineering / Online (Zoom)
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