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Tadaaki Hasegawa

3 accepted papers

2024

Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning

ICRA 2024poster

Tactile information holds promise for enhancing the manipulation capabilities of multi-fingered robots. In tasks such as in-hand manipulation, where robots frequently switch between contact and non-contact states, it is important to address the partial observability of tactile sensors and to properl…

Cited by 1SourceScholar
2022

Powerful and dexterous multi-finger hand using dynamical pulley mechanism

ICRA 2022poster

A multi-fingered hand that can grasp and manipulate a variety of objects is an option for assisting people in their daily lives. However, the range of torque output that can be handled by the multi-fingered hand is very limited compared to the capability of the human hand. In this paper, we introduc…

Cited by 13SourceScholar
2019

Online adaptation of uncertain models using neural network priors and partially observable planning

ICRA 2019poster

One of the key challenges in realizing a robot that is capable of completing a variety of manipulation tasks in the real world is the need to utilize sufficiently compact and rich world models. If the assumed prediction model does not match real observations, planning systems are unable to perform p…

Cited by 2SourceScholar