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cs.RO2025
OIPP: Object-Adaptive Impact Point Predictor for Catching Diverse In-Flight Objects
Ngoc Huy Nguyen, Kazuki Shibata, Takamitsu Matsubara
In this study, we address the problem of in-flight object catching using a quadruped robot with a basket. Our objective is to accurately predict the impact point, defined as the ob…
cs.RO2025
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control
Yoshiki Yano, Kazuki Shibata, Maarten Kokshoorn +1
Recent advances in Large Language Models (LLMs) have permitted the development of language-guided multi-robot systems, which allow robots to execute tasks based on natural language…