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Tata Consultancy Services Kolkata
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Bridging the gap between human language and robotic action, this framework allows agents to understand and execute complex tasks in real-time, even with partial environmental maps.
LLMs can transform how robots interpret and respond to human communication by seamlessly integrating speech, gestures, and music into action synthesis.
By blending LLM-based prediction with probabilistic planning, robots can now proactively anticipate and mitigate human-related task failures, leading to more robust human-robot collaboration.