Delta6 delivers a low-cost 6-DOF force-sensing end-effector with 3.8% FS accuracy using sequence models, validated on robot-arm tasks like buffing and tight assembly.
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Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.
A multi-agent LLM system using CrewAI and RAG improves response coherence and correctness over a single-LLM RAG baseline for Brazilian labor law Q&A.
citing papers explorer
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Delta6: A Low-Cost, 6-DOF Force-Sensing Flexible End-Effector
Delta6 delivers a low-cost 6-DOF force-sensing end-effector with 3.8% FS accuracy using sequence models, validated on robot-arm tasks like buffing and tight assembly.
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Multi-Agent Environments for Vehicle Routing Problems
Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.
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HR-Agents: Using Multiple LLM-based Agents to Improve Q&A about Brazilian Labor Legislation
A multi-agent LLM system using CrewAI and RAG improves response coherence and correctness over a single-LLM RAG baseline for Brazilian labor law Q&A.