Papers
6
Total Citations
190
H-Index
4
About
Takehiro Horiuchi is a leading figure in human-aware robotics, with research spanning human motion prediction, human-robot cooperation, and advanced motion control. His most influential work, "A probabilistic model of human motion and navigation intent for mobile robot path planning" (2009, 100 citations), pioneered a probabilistic framework that goes beyond simple constant-velocity assumptions, enabling robots to infer human navigation goals for safer, more intuitive path planning in shared spaces. This contribution has become foundational for socially compliant mobile robotics. Horiuchi also advanced real-time human-robot collaboration through vision-based task models (2003, 42 citations), allowing robots to recognize human actions and execute context-aware assistance. His work on pedestrian tracking using laser range finders (2007, 27 citations) further enhanced robot perception in dynamic environments by distinguishing humans from static obstacles. In motion control, Horiuchi explored joint torque positive feedback to compensate for joint flexibility, achieving high-stiffness servo systems for industrial robots (2002, 15 citations). His practical control schemes for industrial robots (2005) address nonlinear dynamic coupling and vibration suppression, bridging theory and application. With a career focused on making robots more perceptive, predictive, and cooperative, Horiuchi’s research continues to influence autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Task-model based human robot cooperation using vision42 citations · 2003
- 3Pedestrian tracking from a mobile robot using a laser range finder27 citations · 2007
- 4
- 5Advanced Motion Control Implementation For Industrial Robots3 citations · 2005
- 6