Papers
16
Total Citations
220
H-Index
7
About
Ryosuke Chiba is a robotics researcher whose work focuses on the intersection of industrial automation, motion planning, and human-robot interaction. His primary contributions lie in developing practical solutions for robot manipulator systems, particularly in teaching-playback control and multi-goal task optimization. Chiba's most cited work, "Kinematic Control With Singularity Avoidance for Teaching-Playback Robot Manipulator System" (49 citations), addresses the critical industrial challenge of kinematic singularities in manual robot control, proposing algorithms that enhance both safety and efficiency. His research on robust multi-robot coordination in pick-and-place tasks (44 citations) and coordinated motion control with multiple goals (32 citations) demonstrates his ability to tackle complex optimization problems, integrating traveling salesman problem approaches with real-world manufacturing constraints. Notably, Chiba has also explored biologically-inspired control, developing neural controllers for human biped stance that compensate for neurological time delays (29 citations), bridging robotics with assistive technology. His work consistently emphasizes practical, implementable solutions for industrial robotics, from compact work cell design to end-effector tool optimization, making him a significant contributor to the field of applied robotics and automation.
Research Focus
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