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Nishanth Kumar

Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators

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Apr 04, 2025
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Guided Exploration for Efficient Relational Model Learning

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Feb 10, 2025
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Predicate Invention from Pixels via Pretrained Vision-Language Models

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Dec 31, 2024
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Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints

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Nov 13, 2024
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VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

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Oct 30, 2024
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AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation

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Oct 01, 2024
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Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning

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Sep 28, 2024
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Adaptive Language-Guided Abstraction from Contrastive Explanations

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Sep 12, 2024
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Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction

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Jun 08, 2024
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Practice Makes Perfect: Planning to Learn Skill Parameter Policies

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Feb 22, 2024
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