T. Yamashita
Papers
2
Total Citations
121
H-Index
2
About
T. Yamashita is a pioneering researcher in the field of robotics, with a primary focus on reinforcement learning for legged locomotion. His most significant contribution lies in developing action selection schemes for actor-critic algorithms, enabling robots to master complex walking behaviors in high-dimensional continuous state/action spaces. His landmark 2003 paper, "Reinforcement learning of walking behavior for a four-legged robot," has garnered 93 citations, establishing a foundational approach for teaching robots with multiple degrees of freedom—such as those with eight servo motors—to walk autonomously. This work, alongside an earlier 2002 study with 28 citations, demonstrates his sustained impact on the robotics community. Yamashita's research directly addresses the challenge of continuous control in robotics, bridging the gap between theoretical reinforcement learning and practical robotic applications. His achievements have been instrumental in advancing autonomous locomotion, inspiring subsequent work in adaptive and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Reinforcement learning of walking behavior for a four-legged robot93 citations · 2003
- 2Reinforcement learning of walking behavior for a four-legged robot28 citations · 2002