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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…
cs.CV2024
Mitigating Object Hallucination via Concentric Causal Attention
Yun Xing, Yiheng Li, Ivan Laptev +1
Recent Large Vision Language Models (LVLMs) present remarkable zero-shot conversational and reasoning capabilities given multimodal queries. Nevertheless, they suffer from object h…