3 citations · 7 across the 17 of their papers we have counts for
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cs.RO2024★ 1 cited
MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation
Harsh Singh, Rocktim Jyoti Das, Mingfei Han +2
Large Language Models (LLMs) have demonstrated remarkable planning abilities across various domains, including robotics manipulation and navigation. While recent efforts in robotic…
cs.RO2024
Learning feasible transitions for efficient contact planning
Rikhat Akizhanov, Victor Dhédin, Majid Khadiv +1
In this paper, we propose an efficient contact planner for quadrupedal robots to navigate in extremely constrained environments such as stepping stones. The main difficulty in this…