Nishanth Kumar
収録論文 19本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures2026/6/1
- KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning2026/4/1
- TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans2026/3/1
- Follow the Signs: Using Textual Cues and LLMs to Guide Efficient Robot Navigation2026/1/1
- Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators2025/4/1
- From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models2025/1/1
- Open-World Task and Motion Planning via Vision-Language Model Generated Constraints2024/11/1
- Differentiable GPU-Parallelized Task and Motion Planning2024/11/1
- VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning2024/10/1
- AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation2024/10/1
- Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning2024/9/1
- Adaptive Language-Guided Abstraction from Contrastive Explanations2024/9/1
- Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction2024/6/1
- Practice Makes Perfect: Planning to Learn Skill Parameter Policies2024/2/1
- Preference-Conditioned Language-Guided Abstraction2024/2/1
- Learning Efficient Abstract Planning Models that Choose What to Predict2022/8/1
- Predicate Invention for Bilevel Planning2022/3/1
- Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes2021/4/1
- Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control2019/10/1