Tomoya Kawabe

According to our database, Tomoya Kawabe authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning.

Tomoya Kawabe, Rin Takano

CoRR, February, 2026

2025

Surrogate-assisted motion planning and layout design of robotic cellular manufacturing systems.

Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Eng. Appl. Artif. Intell., 2025

2024

Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation.

Ziang Liu, Tomoya Kawabe, Tatsushi Nishi, Shun Ito, Tomofumi Fujiwara

Appl. Artif. Intell., December, 2024

Task Planning for Robot Manipulator Using Natural Language Task Input with Large Language Models.

Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Multi-Objective Optimization for Three-Dimensional Packing Problem Using the Sequence-Triple Representation with Robot Motion Planning.

Ziang Liu, Shun Ito, Tomoya Kawabe, Tatsushi Nishi, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Symbolic Sequence Optimization Approach for Task and Motion Planning of Robot Manipulators.

Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Optimal Motion Planning and Layout Design in Robotic Cellular Manufacturing Systems.

Tomoya Kawabe, Ziang Liu, Tatsushi Nishi, Md. Moktadir Alam, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

A Flexible Collision-Free Trajectory Planning for Multiple Robot Arms by Combining Q-Learning and RRT.

Tomoya Kawabe, Tatsushi Nishi

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022