Kandai Watanabe
Papers
2
Total Citations
13
H-Index
2
About
Kandai Watanabe is a robotics researcher whose work focuses on enabling safe and intuitive human-robot collaboration through advances in perception, learning, and control. His key research areas include whole-body artificial skin, kinematic calibration, and safety-constrained planning. Watanabe’s major contribution is the development of a self-contained kinematic calibration algorithm for novel whole-body artificial skin, which accurately estimates the pose of distributed sensor units on a robot using accelerometers—a method that is robot-agnostic and compatible with any Denavit-Hartenberg kinematic model. This work, published in 2021 with 11 citations, lays the foundation for more responsive and safer physical human-robot interaction. Additionally, Watanabe has pioneered a probabilistic specification learning framework that extracts task specifications from demonstrations while rigorously ensuring safety constraints are not violated. This framework, also from 2021, bridges learning and planning, enabling robots to operate safely in dynamic environments. His research is notable for its practical, system-level approach to integrating sensing and reasoning, directly addressing the challenges of deploying robots in human-centered settings.
Research Focus
Key Achievements
Top Papers
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- 2