1 citations · 1 across the 2 of their papers we have counts for
5 papers
Dexterous grasp data augmentation based on grasp synthesis with fingertip workspace cloud and contact-aware sampling
Liqi Wu, Haoyu Jia, Kento Kawaharazuka +2
Robotic grasping is a fundamental yet crucial component of robotic applications, as effective grasping often serves as the starting point for various tasks. With the rapid advancem…
Efficient Robot Design with Multi-Objective Black-Box Optimization and Large Language Models
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2
Various methods for robot design optimization have been developed so far. These methods are diverse, ranging from numerical optimization to black-box optimization. While numerical…
Toward Formalizing LLM-Based Agent Designs through Structural Context Modeling and Semantic Dynamics Analysis
Haoyu Jia, Kento Kawaharazuka, Kei Okada
Current research on large language model (LLM) agents is fragmented: discussions of conceptual frameworks and methodological principles are frequently intertwined with low-level im…
Mockingbird: How does LLM perform in general machine learning tasks?
Haoyu Jia, Yoshiki Obinata, Kento Kawaharazuka +1
Large language models (LLMs) are now being used with increasing frequency as chat bots, tasked with the summarizing information or generating text and code in accordance with user…
Remote Life Support Robot Interface System for Global Task Planning and Local Action Expansion Using Foundation Models
Yoshiki Obinata, Haoyu Jia, Kento Kawaharazuka +2
Robot systems capable of executing tasks based on language instructions have been actively researched. It is challenging to convey uncertain information that can only be determined…