Atsushi Kanehira

According to our database, Atsushi Kanehira authored at least 31 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IK Seed Generator for Dual-Arm Human-like Physicality Robot with Mobile Base.

Jun Takamatsu, Atsushi Kanehira, Kazuhiro Sasabuchi, Naoki Wake, Katsushi Ikeuchi

CoRR, May, 2025

RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping.

Atsushi Kanehira, Naoki Wake, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, April, 2025

A Taxonomy of Self-Handover.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, April, 2025

Plan-and-Act using Large Language Models for Interactive Agreement.

Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Katsushi Ikeuchi

CoRR, April, 2025

Agreeing to Interact in Human-Robot Interaction using Large Language Models and Vision Language Models.

Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Katsushi Ikeuchi

CoRR, March, 2025

VLM-driven Behavior Tree for Context-aware Task Planning.

Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Kazuhiro Sasabuchi, Katsushi Ikeuchi

CoRR, January, 2025

Applying learning-from-observation to household service robots: three task common-sense formulations.

Katsushi Ikeuchi, Jun Takamatsu, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira

Frontiers Comput. Sci., 2025

Open-Vocabulary Action Localization With Iterative Visual Prompting.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

IEEE Access, 2025

2024

GPT-4V(ision) for Robotics: Multimodal Task Planning From Human Demonstration.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

IEEE Robotics Autom. Lett., November, 2024

Constraint-Aware Policy for Compliant Manipulation.

Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Hideki Koike, Katsushi Ikeuchi

Robotics, 2024

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience.

Naoki Wake, Atsushi Kanehira, Daichi Saito, Jun Takamatsu, Kazuhiro Sasabuchi, Hideki Koike, Katsushi Ikeuchi

CoRR, 2024

Open-vocabulary Temporal Action Localization using VLMs.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, 2024

Designing Library of Skill-Agents for Hardware-Level Reusability.

Jun Takamatsu, Daichi Saito, Katsushi Ikeuchi, Atsushi Kanehira, Kazuhiro Sasabuchi, Naoki Wake

CoRR, 2024

APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation.

Daichi Saito, Atsushi Kanehira, Kazuhiro Sasabuchi, Naoki Wake, Jun Takamatsu, Hideki Koike, Katsushi Ikeuchi

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

Bias in Emotion Recognition with ChatGPT.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, 2023

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

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, 2023

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

Katsushi Ikeuchi, Jun Takamatsu, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira

CoRR, 2023

Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation.

Kazuhiro Sasabuchi, Daichi Saito, Atsushi Kanehira, Naoki Wake, Jun Takamatsu, Katsushi Ikeuchi

CoRR, 2023

ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

IEEE Access, 2023

Interactive Task Encoding System for Learning-from-Observation.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022

Interactive Learning-from-Observation through multimodal human demonstration.

Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

CoRR, 2022

Learning-from-Observation System Considering Hardware-Level Reusability.

Jun Takamatsu, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Katsushi Ikeuchi

CoRR, 2022

2021

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation.

Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Multimodal Explanations by Predicting Counterfactuality in Videos.

Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Explain With Complemental Examples.

Atsushi Kanehira, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Viewpoint-Aware Video Summarization.

Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

True-negative label selection for large-scale multi-label learning.

Atsushi Kanehira, Andrew Shin, Tatsuya Harada

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Recognizing Activities of Daily Living with a Wrist-Mounted Camera.

Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multi-label Ranking from Positive and Unlabeled Data.

Atsushi Kanehira, Tatsuya Harada

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning.

Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada

CoRR, 2015

2014

MIL at ImageCLEF 2014: Scalable System for Image Annotation.

Atsushi Kanehira, Masathosi Hidaka, Yusuke Mukuta, Yuichiro Tsuchiya, Tetsuaki Mano, Tatsuya Harada

Proceedings of the Working Notes for CLEF 2014 Conference, 2014