Robot learning (machine learning for robots) is an interdisciplinary field of various fields such as machine learning, artificial intelligence, robot engineering, control engineering, signal processing, optimization, and mechatronics. You may be able to find your approach by utilizing your field of expertise, skills, and experience (robot contests, programming contests, work, etc.). Please challenge yourself within robot learning research.
Reinforcement Learning
Deep Reinforcement Learning
Imitation Learning
Physical Human-robot Interaction
Physical Human Assistance (with Exoskeleton Robot)
We welcome self-motivated international students with interests in machine learning and corresponding applications in real robot control.
Please contact us via rl-contact [at] is.naist.jp with the following information:
1. Resume including your education/work experience, GPA, and publication list.
2. Language skill (a good point in TOEFL/IELTS/TOEIC is highly recommended)
3. Programming skills
4. Short research proposal