M
Mark Yim
Researcher at University of Pennsylvania
Publications - 226
Citations - 9434
Mark Yim is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Modular design & Self-reconfiguring modular robot. The author has an hindex of 41, co-authored 215 publications receiving 8426 citations. Previous affiliations of Mark Yim include Immersion Corporation & PARC.
Papers
More filters
Journal ArticleDOI
Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]
Mark Yim,Wei-Min Shen,Behnam Salemi,Daniela Rus,Mark Moll,Hod Lipson,Eric Klavins,Gregory S. Chirikjian +7 more
TL;DR: Several of the key directions for the future of modular self-reconfigurable robotic systems, including the design, fabrication, motion planning, and control of autonomous kinematic machines with variable morphology are shown.
Proceedings ArticleDOI
PolyBot: a modular reconfigurable robot
TL;DR: PolyBot is the first robot to demonstrate sequentially two topologically distinct locomotion modes by self-reconfiguration, and as the design evolves the issues of low cost and robustness will be resolved while exploring the potential of modular, self- reconfigurable robots.
Patent
Tactile feedback man-machine interface device
Marc R Tremblay,Mark Yim +1 more
TL;DR: In this article, a man-machine interface which provides tactile feedback to various sensing body parts is described, where each unit comprises a mass and a mass-moving actuator, and the entire vibrotactile unit vibrates.
Journal Article
Modular Self-Reconfigurable Robot Systems
Mark Yim,Wei-Min Shen,Behnam Salemi,Daniela Rus,Mark Moll,Hod Lipson,Eric Klavins,Gregory S. Chirikjian +7 more
TL;DR: Several of the key directions for the future of modular self-reconfigurable robotic systems, including the design, fabrication, motion planning, and control of autonomous kinematic machines with variable morphology are shown.
Journal ArticleDOI
Modular Reconfigurable Robots in Space Applications
TL;DR: PolyBot has significant potential in the space manipulation and surface mobility class of applications for space and can self-repair and adapt to changing or unanticipated conditions.