most citedAgent AI: Surveying the Horizons of Multimodal Interaction

48 citations · 59 across the 7 of their papers we have counts for

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cs.RO2024

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…

cs.RO2024

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…

cs.RO2023

Constraint-aware Policy for Compliant Manipulation

Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake +4

Robot manipulation in a physically-constrained environment requires compliant manipulation. Compliant manipulation is a manipulation skill to adjust hand motion based on the force…

cs.RO20231 cited

GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi +2

This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) such as GPT-3 and ChatGPT. The system is integrated…

cs.RO20231 cited

Applying Learning-from-observation to household service robots: three common-sense formulation

Katsushi Ikeuchi, Jun Takamatsu, Kazuhiro Sasabuchi +2

Utilizing a robot in a new application requires the robot to be programmed at each time. To reduce such programmings efforts, we have been developing ``Learning-from-observation (L…