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Wei-Hsi Chen
Researcher at National Taiwan University
Publications - 7
Citations - 341
Wei-Hsi Chen is an academic researcher from National Taiwan University. The author has contributed to research in topics: Robot kinematics & Robot. The author has an hindex of 6, co-authored 6 publications receiving 223 citations.
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Journal ArticleDOI
Quattroped: A Leg--Wheel Transformable Robot
TL;DR: In this article, a novel four-leg/four-wheel transformable mobile robot, Quattroped, is implemented with a unique transformation mechanism that directly switches the morphology of the driving mechanism between the wheels and 2 degrees of freedom leg (i.e., a full circle) so that the same system of actuation power can be efficiently utilized in both wheel and legged modes.
Journal ArticleDOI
TurboQuad: A Novel Leg–Wheel Transformable Robot With Smooth and Fast Behavioral Transitions
TL;DR: This report is on the design, control strategy, implementation, and performance evaluation of a novel leg–wheel transformable robot called TurboQuad, which can perform fast gait/mode coordination and transitions in wheeled mode, in legged trotting, and in legging walking while in motion.
Journal ArticleDOI
Design and implementation of a ball-driven omnidirectional spherical robot
TL;DR: In this paper, the authors designed and implemented a novel omnidirectional spherical robot, where instead of using wheels or flywheels, a driven ball is installed inside the spherical shell and driven by two orthogonally mounted rollers.
Proceedings ArticleDOI
Design and implementation of an omnidirectional spherical robot Omnicron
TL;DR: Instead of using wheels or flywheels, three omnidirectional wheels are installed inside the spherical shell and controlled independently; thus, the 3-degree-of-freedom planar omnid Directional mobility of the robot without any singularity condition can be achieved by simple forward 3-to-3 kinematic mapping.
Proceedings ArticleDOI
TurboQuad: A leg-wheel transformable robot using bio-inspired control
TL;DR: The ability of the robot to negotiate the terrain strongly depends on its morphology and control strategy, and designing a good robotic platform which can operated on all three categories may be a good solution.