Papers
21
Total Citations
310
H-Index
12
About
Kazuo Tani is a pioneering robotics researcher whose work has profoundly shaped the fields of mobile robot navigation, biped locomotion control, and robotic sensing systems. Over a career spanning more than two decades, Tani has made foundational contributions to how robots perceive, adapt to, and navigate complex physical environments. His early work on attitude estimation for dynamic mobile robots, which has garnered nearly 60 combined citations across related publications, addressed the fundamental challenge of reliably detecting a robot's orientation using internal sensors despite real-world ground disturbances. This groundbreaking approach laid important groundwork for robust autonomous navigation. Tani further advanced mobile robotics through landmark-based localization strategies, helping robots correct dead-reckoning errors during path following. Perhaps his most influential contribution is the Linear Inverted Pendulum Mode, an elegant mathematical framework for controlling biped walking on rugged terrain. Developed through the early-to-mid 1990s and validated experimentally with the "Meltran II" robot, this model has become a widely referenced tool in humanoid robotics research. Tani also extended biped research into real-time adaptive gait control using ground-profile sensing, and later contributed innovative tactile sensor systems enabling robot hands to detect slip, force, and deformation simultaneously — work that continues to influence soft robotics and dexterous manipulation research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Planning of Landmark Measurement for the Navigation of a Mobile Robot.32 citations · 1993
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- 7Biped-type leg-wheeled robot19 citations · 1998
- 8Study of Dynamic Walk Control of a Biped Robot on Rugged Terrain16 citations · 1991
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