Papers

The full list is on Google Scholar.

Agents

Robot manipulation with VLMs and LLMs

Reinforcement learning and simulation

  • RL-driven data generation for robust vision-based dexterous grasping A. Kanehira, N. Wake, K. Sasabuchi, et al. arXiv, 2025. Equal contribution.
  • APriCoT: Action primitives based on contact-state transition for in-hand tool manipulation D. Saito, A. Kanehira, K. Sasabuchi, et al. IEEE-RAS International Conference on Humanoid Robots, 2024. Intern advisor.
  • Constraint-aware policy for compliant manipulation D. Saito, K. Sasabuchi, N. Wake, et al. Robotics, 2023. Intern advisor.

Vision-language-action models and imitation learning

Robot teaching

Manipulation theory and surveys

Neuroscience and human-computer interaction

  • Map plasticity following noise exposure in rat auditory cortex: Implications for disentangling neural correlates of tinnitus and hyperacusis N. Wake, T. I. Shiramatsu, H. Takahashi. Frontiers in Neuroscience, 2024
  • Prepulse inhibition predicts subjective hearing in rats N. Wake, K. Ishizu, T. Abe, et al. Scientific Reports, 2021
  • The development and practice for exhibiting an HCI device in a public space: A case study of Sight, a sonification device towards a visual perception without eyes N. Wake, R. Suzuki, Y. Munakata, et al. Journal of Information Processing, 2021
  • Multimodal virtual reality platform for the rehabilitation of phantom limb pain N. Wake, Y. Sano, R. Oya, et al. International IEEE/EMBS Conference on Neural Engineering, 2015