Jun Morimoto
Japan Science and Technology Agency, Advanced Telecommunications Research Institute International, RIKEN Center for Computational Science, Kyoto Seika University, Oxford Centre for Computational Neuroscience, Nara Institute of Science and Technology, Kyoto University, University of Southern California, Interface (United States), Kyoto Prefectural University, Bernstein Center for Computational Neuroscience Göttingen, Nanjing University of Science and Technology, Kyoto Research Park, RIKEN Center for Brain Science, Kyoto College of Graduate Studies for Informatics
Papers
150
Total Citations
5,412
H-Index
37
About
Jun Morimoto is a pioneering robotics and computational neuroscience researcher whose work sits at the intersection of machine learning, humanoid robotics, and human-robot interaction. Best known for his foundational contributions to biped locomotion and movement primitives, Morimoto has shaped how robots learn and adapt complex motor behaviors. His early work on learning from demonstration for biped locomotion (400 citations) and minimax differential dynamic programming established robust frameworks for robot control under uncertainty. A central thread throughout his research is the use of Dynamic Movement Primitives (DMPs), with landmark papers on task-specific generalization and Cartesian-space orientation control accumulating over 570 citations combined. Morimoto also co-developed CB, a 50-degree-of-freedom humanoid platform designed to probe the computational principles of the human brain in real-world settings. More recently, he has made significant strides in human-robot collaboration, pioneering EMG-based control systems for exoskeletons and rehabilitation robotics — work that enables assistive devices to adapt intelligently to individual users' muscle activity. With over 2,100 citations across his top papers alone, Morimoto's research continues to influence both the theoretical underpinnings and practical applications of intelligent, human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Learning from demonstration and adaptation of biped locomotion400 citations · 2004
- 2
- 3Orientation in Cartesian space dynamic movement primitives217 citations · 2014
- 4CB: a humanoid research platform for exploring neuroscience215 citations · 2007
- 5
- 6
- 7
- 8
- 9Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO124 citations · 2006
- 10Minimax differential dynamic programming: application to a biped walking robot120 citations · 2003