Robotics

Technology

The COVID-19 pandemic has led to drastic changes in our lifestyles, namely the mass transition to remote work. The spread of remote work has made it possible for people to perform their jobs without physically being in the workplace, freeing many people from geographical and time constraints. For example, remote workers are able to relocate more freely as they are no longer required to live close to their workplaces, and the time previously spent on commuting can be used to do other activities.

However, there are limitations to remote work as certain jobs such as essential work (hospitals, pharmacies, supermarkets, etc.) are difficult to do remotely. Even in jobs where remote work is possible, problems such as communication breakdowns may arise. We aim to solve these issues in remote work through the development of telepresence technology and technology for understanding embodied knowledge. Telepresence refers to technology used to understand changes in the local environment and local information necessary for operations from a remote location. Regarding the latter, we are researching methods to systematize and digitally archive physical behaviors generated from knowledge and experience.

Research

  1. Telepresence technology
  2. Embodied-knowledge-understanding technology

Publications

2025

Conference Papers

-Telepresence technology-

  1. Koki Ebina, Mitsuhiro Goto, Hitoshi Seshimo, "Development of a simple softness measurement method using a wearable force sensor and depth camera for remote edema palpation," 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jan. 2025

2024

Conference Papers

-Telepresence technology-

  1. Masato Miyahara, Tomoki Nakao, Tatsuya Ishihara, Motohiro Takagi, Kouhei Takahashi, Taichi Kanada, Narimune Matsumura, Hitoshi Seshimo. 2024. “Multi-Constrained Robot Motion Generation.” In CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data.

-Embodied-knowledge-understanding technology-

  1. Tsukasa Shiota,Motohiro Takagi,Kaori Kumagai, Hitoshi Seshimo,Yushi Aono, "Egocentric Action Recognition Capturing Hand-Object Contact and Object State", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp.6541-6551.

2023

Journal Papers

-Telepresence technology-

  1. Fanglu Xie, Motohiro Takagi, Hitoshi Seshimo, Yushi Aono, "Refining Line Art from Stroke Style Disentanglement with Diffusion Models", in IEEE Access, vol. 12, pp. 9526 - 9535, 2023, doi: 10.1109/ACCESS.2023.3347551