Yo Kondo
Papers
1
Total Citations
9
H-Index
1
About
Yo Kondo is a robotics researcher whose work centers on humanoid robot control, real-time imitation learning, and bipedal stabilization. His most notable contribution is the development of a system enabling a humanoid robot to imitate human posture in real time using a particle filter for joint angle estimation, combined with simple joint control for standing stabilization. This approach addresses the challenge of directly measuring human joint angles during demonstration, offering a practical alternative to conventional motion capture systems. His 2016 paper on this topic has garnered 9 citations, reflecting its relevance in the field of human-robot interaction and imitation learning. Kondo’s work is significant for advancing the autonomy and adaptability of biped humanoid robots, making them more capable of learning from human demonstration without complex external sensors. His research has implications for assistive robotics, rehabilitation, and interactive humanoid platforms, where natural and stable imitation is key. Through his focus on real-time, sensor-efficient methods, Kondo contributes to bridging the gap between human motion and robotic execution.
Research Focus
Key Achievements
Top Papers
- 1