3 accepted papers
Recent advances in Large Language Models (LLMs) have shown promise in function-level code generation, yet repository-level software engineering tasks remain challenging. Current solutions predominantly rely on proprietary LLM agents, which introduce unpredictability and limit accessibility, raising…
The letter considers the multi-robot collaborative manipulation with load sharing characteristic, when dynamic parameters of the system composed of multiple robots and the rigid body are unknown. Load sharing refers to each robot calculating the required wrench for the manipulation task itself and a
Intervention Target Estimation (ITE) is vital for both understanding and decision-making in complex systems, yet it remains underexplored. Current ITE methods are hampered by their inability to learn from distinct intervention instances collaboratively and to incorporate rich insights from labeled d…