title: Teleoperation for a ball-catching task with significant dynamics.
abstract: In this paper we present ongoing work on how to incorporate human motion models into the design of a high performance teleoperation platform. A short description of human motion models used for ball-catching is followed by a more detailed study of a teleoperation platform on which to conduct experiments. Also, a pilot study using minimum jerk theory to explain user input behavior in teleoperated catching is presented.
authors.affiliation: Center for Autonomous Systems, Swedish Royal Institute of Technology, Stockholm, Sweden. ccs@kth.se
authors.forename: Christian
authors.initials: C
authors.lastname: Smith
authors.forename: Mattias
authors.initials: M
authors.lastname: Bratt
authors.forename: Henrik I
authors.initials: HI
authors.lastname: Christensen
mesh_terms: D001185:Artificial Intelligence; D001696:Biomechanical Phenomena / Q000295:instrumentation / Q000379:methods; D003198:Computer Simulation; D004582:Electronics, Medical / Q000295:instrumentation / Q000379:methods; D005246:Feedback / Q000502:physiology; D006801:Humans; D009048:Motor Skills / Q000502:physiology*; D009068:Movement / Q000502:physiology*; D009488:Neurosciences / Q000295:instrumentation* / Q000379:methods / Q000639:trends; D011597:Psychomotor Performance / Q000502:physiology; D012371:Robotics / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D012984:Software; D014584:User-Computer Interface