Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots
2020 · IEEE Robotics and Automation Letters · 143 citations
https://doi.org/10.1109/lra.2020.3010739
T
Takamitsu Matsubara
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
291
Papers
2.8K
Citations
26
h-index
64
i10-index
Takamitsu Matsubara is an academic researcher from Nara Institute of Science and Technology. The author has contributed to research in topics: Reinforcement Learning in Robotics & Robot Manipulation and Learning & Muscle activation and electromyography studies. The author has an h-index of 26, co-authored 248 publications.
ORCID: 0000-0003-3545-4814Papers by this author
worksLearning Stylistic Dynamic Movement Primitives from multiple demonstrations
2010 · 51 citations
https://doi.org/10.1109/iros.2010.5651049
Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning
2024 · Open MIND · 0 citations
Distilled Iterative Value Conversion: Reducing FPNN-to-SNN Conversion Errors via Distillation in Reinforcement Learning for Neurochip-Driven Edge Robots
2026 · IEEE Access · 0 citations
https://doi.org/10.1109/access.2026.3661117
CoLF: Learning Consistent Leader-Follower Policies for Vision-Language-Guided Multi-Robot Cooperative Transport
2026 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2602.07776
Prolonging Tool Life: Learning Skillful Use of General-Purpose Tools Through Lifespan-Guided Reinforcement Learning
2026 · IEEE Access · 0 citations
https://doi.org/10.1109/access.2026.3665020
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat