Papers
17
Total Citations
175
H-Index
8
About
Toshiyuki Murao is a robotics researcher whose work spans visual feedback control, human-robot interaction, and biologically inspired robotic systems. His research has made meaningful contributions across three interconnected domains: vision-based robot control, mobile robot perception, and biomechanically motivated manipulator design. Murao's most influential work focuses on integrating Kinect 3D sensor technology with mobile robotics, enabling real-time human motion tracking and object recognition in indoor environments — work that has garnered over 54 citations and demonstrated practical pathways for human-following robotic systems. Complementing this, his sustained investigation into predictive visual feedback control using receding horizon approaches has advanced how robots with both eye-in-hand and fixed camera configurations can achieve stable, anticipatory motion control, accumulating nearly 50 citations across multiple publications spanning 2006 to 2011. A particularly distinctive thread in Murao's research concerns robot manipulators with antagonistic bi-articular muscles — structures inspired by human musculoskeletal anatomy — for which he has developed passivity-based, open-loop, and iterative learning control strategies. This body of work highlights his interest in bridging biological movement principles with rigorous control theory, offering insights relevant to next-generation prosthetics and compliant robotic arms. Collectively, his publications reflect a researcher committed to practical yet theoretically grounded advances in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Human motion tracking of mobile robot with Kinect 3D sensor54 citations · 2012
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- 5Stabilizing predictive visual feedback control for fixed camera systems11 citations · 2011
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