UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Probabilistic collision detection (PCD) is essential in motion planning for robots operating in unstructured environments, where considering sensing uncertainty helps prevent damage.
Abstract: Collision detection via visual fences can significantly enhance the safety of collaborative robotic arms. Existing work typically performs such detection based on predeployed stationary ...