Kumar, Nishanth

12 publications

ICLR 2025 AHA: A Vision-Language-Model for Detecting and Reasoning over Failures in Robotic Manipulation Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo

ICLR 2025 VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joao F. Henriques, Kevin Ellis

CoRL 2024 Adaptive Language-Guided Abstraction from Contrastive Explanations Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu

NeurIPSW 2024 Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning Alicia Li, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling

MLOSS 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX Guangyao Zhou, Antoine Dedieu, Nishanth Kumar, Wolfgang Lehrach, Shrinu Kushagra, Dileep George, Miguel Lázaro-Gredilla

ICLRW 2024 Preference-Conditioned Language-Guided Abstraction Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie Shah

CoRL 2024 Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRL 2023 Learning Efficient Abstract Planning Models That Choose What to Predict Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling

AAAI 2023 Predicate Invention for Bilevel Planning Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

NeurIPSW 2022 PDDL Planning with Pretrained Large Language Models Tom Silver, Varun Hariprasad, Reece S Shuttleworth, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRL 2021 Just Label What You Need: Fine-Grained Active Selection for P&P Through Partially Labeled Scenes Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

AAAI 2020 Task Scoping for Efficient Planning in Open Worlds (Student Abstract) Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris