Toshiaki Maki
Papers
5
Total Citations
91
H-Index
4
About
Toshiaki Maki is a leading researcher in the field of daily assistive robotics, with a primary focus on integrating perception and action for humanoid robots operating in unstructured, real-world environments. His major contributions lie in developing knowledge-based software architectures that seamlessly combine multi-cue 3D object recognition with motion planning and manipulation. Maki’s work addresses the critical challenge of enabling robots to perform complex domestic chores, such as tidying and cleaning rooms, by designing systems that can detect and recover from failures during task execution. His most influential paper, "Multi-cue 3D object recognition in knowledge-based vision-guided humanoid robot system" (43 citations), established a foundational framework for vision-guided interaction. In a notable achievement, Maki and his team demonstrated a fully integrated daily assistive robot capable of autonomously cleaning and organizing a real room, showcasing the practical viability of their approach. By emphasizing task-relevant knowledge to bridge recognition and action, Maki has advanced the development of truly helpful, autonomous domestic robots, making significant strides toward their deployment in everyday life.
Research Focus
Key Achievements
Top Papers
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