CV

Education

• B.S. in System Engineering, Keio University, 2018
• M.S. in Engineering, Keio University, 2020
• Sep 2023 - Now: PhD candidate, Keio University

Work experience

• Feb 2019 - Mar 2019: Intern
  • at Sony Group Corporation R&D center
  • Worked on a game AI project and applied model-based reinforcement learning method to the game agent.
• July 2019 - Mar 2020: Intern
  • at Preferred Networks, Inc.
  • Worked on a project about model-based reinforcement learning method which can handle an uncertainty of a transition model.
• Apr 2020 - Now: Research Engineer
  • at Sony Group Corporation R&D center
  • Working on a behavior learning project for realizing a robot being able to manipulate various objects.
  • developing a reinforcement learning library called nnablaRL(https://github.com/sony/nnabla-rl) as a main contributor.

Skills

• Python 5 years
• C++ 5 years
• ROS 5 years

Publications

Human-friendly control system design for two-wheeled service robot with optimal control approach

Sekiguchi, Shunichi, et al. "Human-friendly control system design for two-wheeled service robot with optimal control approach." Robotics and Autonomous Systems 131 (2020): 103562.

Uncertainty-aware Non-linear Model Predictive Control for Human-following Companion Robot

S. Sekiguchi, A. Yorozu, K. Kuno, M. Okada, Y. Watanabe and M. Takahashi, "Uncertainty-aware Non-linear Model Predictive Control for Human-following Companion Robot," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 8316-8322, doi: 10.1109/ICRA48506.2021.9561974.

Naming Objects for Vision-and-Language Manipulation

Nishikawa, T., Aoyama, K., Sekiguchi, S., Takayanagi, T., Wu, J., Ishihara, Y., Kojima, T. and Yokono, J.J., 2023. Naming Objects for Vision-and-Language Manipulation. arXiv preprint arXiv:2303.02871.

Awards

• Hatakeyama Award of the Japan Society of Mechanical Engineers
  • Award for academic achievements. 2 people are chosen out of the students of Department of system design engineering, about 200 people.
• Fujiwara Award
  • Award for academic achievements and sports activities. About 10 people are chosen out of the students of School for science and technology, about 2000 people.