28 citations · 132 across the 19 of their papers we have counts for
3 papers · 1 filter
Learning Multimodal Attention for Manipulating Deformable Objects with Changing States
Namiko Saito, Mayu Tatsumi, Ayuna Kubo +4
To support humans in their daily lives, robots are required to autonomously learn, adapt to objects and environments, and perform the appropriate actions. We tackled on the task of…
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model
Kazuki Hori, Kanata Suzuki, Tetsuya Ogata
The application of the Large Language Model (LLM) to robot action planning has been actively studied. The instructions given to the LLM by natural language may include ambiguity an…
Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics
Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada +2
Bridging the gap between motion models and reality is crucial by using limited data to deploy robots in the real world. Deep learning is expected to be generalized to diverse situa…