Closed-Loop Verbal Reinforcement Learning for Task-Level Robotic Planning | ScienceToStartup | ScienceToStartup

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References (27)

[1]

Decision-Making for Path Planning of Mobile Robots Under Uncertainty: A Review of Belief-Space Planning Simplifications

2025V. Malathi, Pramod Sreedharan et al.

[2]

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences

2025Anukriti Singh, Amisha Bhaskar et al.

[3]

Vision-language model-driven scene understanding and robotic object manipulation

Founder's Pitch

"A closed-loop verbal reinforcement learning framework for interpretable and adaptive task-level robotic planning, leveraging LLMs and VLM for symbolic policy refinement."

Robotics Planning•Score: 7•View PDF ↗

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Closed-Loop Verbal Reinforcement Learning for Task-Level Robotic Planning

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References (27)

Founder's Pitch

"A closed-loop verbal reinforcement learning framework for interpretable and adaptive task-level robotic planning, leveraging LLMs and VLM for symbolic policy refinement."

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Closed-Loop Verbal Reinforcement Learning for Task-Level Robotic Planning

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References (27)

Founder's Pitch

"A closed-loop verbal reinforcement learning framework for interpretable and adaptive task-level robotic planning, leveraging LLMs and VLM for symbolic policy refinement."

Commercial Viability Breakdown

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