1 citations · 1 across the 4 of their papers we have counts for
5 papers
Geometry-Aware Reinforcement Learning for Close-Fitting Wearable Insertion
Takuma Tsukakoshi, Elle Miller, Tamon Miyake +5
Robot-assisted dressing is particularly challenging due to narrow openings and articulated body parts. Even small errors in the relative pose between the body part and garment open…
Scalable predictive processing framework for multitask caregiving robots
Hayato Idei, Tamon Miyake, Tetsuya Ogata +1
The rapid aging of societies is intensifying demand for autonomous care robots; however, most existing systems are task-specific and rely on handcrafted preprocessing, limiting the…
Scaling Whole-body Multi-contact Manipulation with Contact Optimization
Victor Levé, João Moura, Sachiya Fujita +3
Daily tasks require us to use our whole body to manipulate objects, for instance when our hands are unavailable. We consider the issue of providing humanoid robots with the ability…
Close-Fitting Dressing Assistance Based on State Estimation of Feet and Garments with Semantic-based Visual Attention
Takuma Tsukakoshi, Tamon Miyake, Tetsuya Ogata +3
As the population continues to age, a shortage of caregivers is expected in the future. Dressing assistance, in particular, is crucial for opportunities for social participation. E…
Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism
Tamon Miyake, Namiko Saito, Tetsuya Ogata +2
Caregiving is a vital role for domestic robots, especially the repositioning care has immense societal value, critically improving the health and quality of life of individuals wit…