Papers
80
Total Citations
2,765
H-Index
28
About
Satoshi Kagami is a pioneering robotics researcher whose work has fundamentally shaped the fields of humanoid robot motion planning, bipedal navigation, and autonomous locomotion. His research addresses some of the most technically demanding challenges in robotics: enabling humanoid robots to move dynamically, safely, and intelligently through complex real-world environments. Kagami's most influential contributions center on motion and footstep planning for legged robots. His 2002 paper on dynamically stable motion planning (268 citations) and his foundational work on fast walking trajectory generation established critical frameworks still referenced today. His 2003 algorithm for biped footstep navigation through obstacle-filled and uneven terrain (175 citations) extended navigation methods far beyond traditional wheeled-robot approaches. He further advanced the field through grasp planning in complex scenes (186 citations), online foot placement optimization using preview control, and autonomous humanoid navigation over rough terrain using laser sensing. Beyond locomotion, Kagami contributed to human-robot coexistence through probabilistic models of human motion intent and full-body tactile sensing systems for humanoids. With a portfolio exceeding 1,400 combined citations across his top works, his research represents a cornerstone of modern humanoid robotics, bridging theoretical planning with practical, deployable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Dynamically-Stable Motion Planning for Humanoid Robots268 citations · 2002
- 2Motion Planning for Humanoid Robots191 citations · 2005
- 3Grasp planning in complex scenes186 citations · 2007
- 4Planning Biped Navigation strategies in Complex Environments175 citations · 2003
- 5
- 6Online decision of foot placement using singular LQ preview regulation104 citations · 2011
- 7
- 8
- 9An adaptive action model for legged navigation planning83 citations · 2007
- 10