95 citations · 296 across the 32 of their papers we have counts for
6 papers · 1 filter
Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience
Naoki Wake, Atsushi Kanehira, Daichi Saito +4
Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains an underexplored area in robotics. This paper proposes a modular approach, where each s…
Open-Vocabulary Action Localization with Iterative Visual Prompting
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi +2
Video action localization aims to find the timings of specific actions from a long video. Although existing learning-based approaches have been successful, they require annotating…
APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation
Daichi Saito, Atsushi Kanehira, Kazuhiro Sasabuchi +4
In-hand tool manipulation is an operation that not only manipulates a tool within the hand (i.e., in-hand manipulation) but also achieves a grasp suitable for a task after the mani…
Designing Library of Skill-Agents for Hardware-Level Reusability
Jun Takamatsu, Daichi Saito, Katsushi Ikeuchi +3
To use new robot hardware in a new environment, it is necessary to develop a control program tailored to that specific robot in that environment. Considering the reusability of sof…
An Interactive Agent Foundation Model
Zane Durante, Bidipta Sarkar, Ran Gong +17
The development of artificial intelligence systems is transitioning from creating static, task-specific models to dynamic, agent-based systems capable of performing well in a wide…
Agent AI: Surveying the Horizons of Multimodal Interaction
Zane Durante, Qiuyuan Huang, Naoki Wake +11
Multi-modal AI systems will likely become a ubiquitous presence in our everyday lives. A promising approach to making these systems more interactive is to embody them as agents wit…