Papers
15
Total Citations
83
H-Index
5
About
Takahiro Wada is a leading researcher in human-robot interaction and intelligent control systems, with a focus on collision avoidance, robotic manipulation, and assistive technologies. His most influential work, "Collision avoidance control with steering using velocity potential field" (2014, 27 citations), introduced a novel approach to steering-based collision avoidance that outperforms braking-only systems in dynamic environments. Wada has made significant contributions to human-robot handover tasks, developing vibrotactile interfaces to communicate robot intentions and improve coordination efficiency, as demonstrated in his 2024 paper (10 citations). His research extends to underwater robotics, where he proposed cooperative path-following control for remotely operated vehicles to reduce operator workload (2022, 8 citations), and to prosthetics, analyzing human gait to generate natural motion for transfemoral prostheses (2014, 5 citations). Wada has also advanced robot control theory with finite-time PD control with adaptive gravity compensation (2016, 7 citations) and deformable object manipulation (2003, 5 citations). With over 60 citations across his top papers, his work spans collision avoidance, haptic feedback, underwater robotics, and humanoid manipulation, consistently addressing real-world challenges in safety, autonomy, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Collision avoidance control with steering using velocity potential field27 citations · 2014
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