Papers
10
Total Citations
185
H-Index
7
About
Yutaka Takaoka is a leading researcher in mobile manipulation and bipedal robotics, with a focus on enabling robots to operate autonomously in complex, unstructured human environments. His work centers on three key areas: 3D perception and mapping, footstep planning for biped navigation, and one-shot task learning for mobile manipulators. Takaoka’s most impactful contribution is his pioneering approach to biped navigation in rough terrain using on-board sensing, which has garnered 61 citations. He also developed an online system for footstep planning using 3D maps reconstructed via visual odometry (42 citations), and created a mobile manipulation system capable of autonomously performing complex home tasks after a single VR demonstration (21 citations). His research on dense local 3D world reconstruction from stereo image sequences (13 citations) and 3D map building for humanoid robots (18 citations) has advanced real-time environmental perception. Takaoka’s work on the Human Support Robot (HSR) demonstrates his commitment to practical assistive robotics, with notable achievements in navigation through narrow spaces and teleoperation interfaces. His combined citation count exceeds 180, reflecting significant influence in robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Biped navigation in rough environments using on-board sensing61 citations · 2009
- 2Using Visual Odometry to Create 3D Maps for Online Footstep Planning42 citations · 2006
- 3A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes21 citations · 2020
- 43D map building for a humanoid robot by using visual odometry18 citations · 2005
- 5Online dense local 3D world reconstruction from stereo image sequences13 citations · 2005
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- 10Navigation in Narrow Spaces for Human Support Robot2 citations · 2014