51 citations · 91 across the 28 of their papers we have counts for
7 papers · 1 filter
Avoiding Epiphenomenalism in Theories of Consciousness: A Causal Framework Based on Asymmetry
Yoshiyuki Ohmura, Yasuo Kuniyoshi
Why do some physical systems possess consciousness, while others do not? A scientific theory of consciousness must explain differences in system behavior in terms of well-defined i…
Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View
Koki Nakagawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Most prior research in deep imitation learning has predominantly utilized fixed cameras for image input, which constrains task performance to the predefined field of view. However,…
Feature-Based Lie Group Transformer for Real-World Applications
Takayuki Komatsu, Yoshiyuki Ohmura, Kayato Nishitsunoi +1
The main goal of representation learning is to acquire meaningful representations from real-world sensory inputs without supervision. Representation learning explains some aspects…
Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory
Kayato Nishitsunoi, Yoshiyuki Ohmura, Takayuki Komatsu +1
Humans develop certain cognitive abilities to recognize objects and their transformations without explicit supervision, highlighting the importance of unsupervised representation l…
Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation
Ryo Takizawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi
In imitation learning for robotic manipulation, decomposing object manipulation tasks into sub-tasks enables the reuse of learned skills and the combination of learned behaviors to…
Unsupervised categorization of similarity measures
Yoshiyuki Ohmura, Wataru Shimaya, Yasuo Kuniyoshi
In general, objects can be distinguished on the basis of their features, such as color or shape. In particular, it is assumed that similarity judgments about such features can be p…
Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks
Ryo Takizawa, Izumi Karino, Koki Nakagawa +2
Autonomous agents capable of diverse object manipulations should be able to acquire a wide range of manipulation skills with high reusability. Although advances in deep learning ha…