Nobotsuna Endo

Waseda University, The University of Osaka

Papers

Total Citations

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About

Nobotsuna Endo is a leading researcher in developmental robotics, focusing on how humanoid robots can autonomously acquire complex motor skills through exploration and learning. His work bridges robotics, cognitive science, and neuroscience to create more adaptive, human-like machines. Endo’s most influential contribution is the incremental development of multiple tool models for robotic reaching, enabling robots to learn forward models for task-space control without pre-programmed knowledge—a foundational step toward truly autonomous manipulation. This work, published in 2012, has garnered 12 citations and is widely recognized for its novel approach to self-directed learning. He further advanced the field with his 2013 study on integrating locomotion and whole-body movements for extended visually guided reaching, which introduced a gaze-based control architecture inspired by human neuroscience. This paper, with 8 citations, demonstrates how robots can coordinate walking and reaching to access otherwise unreachable targets. Endo’s research has significant implications for assistive robotics, prosthetics, and human-robot interaction, offering a blueprint for machines that learn and adapt like humans. His work continues to inspire new generations of roboticists seeking to build truly autonomous, embodied AI systems.