Nishanth Kumar

38 papers A* 6A 1Misc 4Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Follow the Signs: Using Textual Cues and LLMs to Guide Efficient Robot Navigation.
CoRR
Jing Cao, Nishanth Kumar, Aidan Curtis
2026 J jnl
From Pixels to Predicates: Learning Symbolic World Models via Pretrained VLMs.
IEEE Robotics Autom. Lett.
Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Jiuguang Wang, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2026 J jnl
Open-World Task and Motion Planning via Vision-Language Model Generated Constraints.
IEEE Robotics Autom. Lett.
Nishanth Kumar, William Shen, Fabio Ramos, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Caelan Reed Garrett
2026 J jnl
TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation.
CoRR
William Shen, Nishanth Kumar, Sahit Chintalapudi, Jie Wang, Christopher Watson, Edward Hu, Jing Cao, Dinesh Jayaraman, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2025 A* conf
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.
ICLR
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo
2025 J jnl
Guided Exploration for Efficient Relational Model Learning.
CoRR
Annie Feng, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025 J jnl
Predicate Invention from Pixels via Pretrained Vision-Language Models.
CoRR
Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025 J jnl
Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators.
CoRR
Linfeng Zhao, Willie McClinton, Aidan Curtis, Nishanth Kumar, Tom Silver, Leslie Pack Kaelbling, Lawson L. S. Wong
2025 A* conf
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning.
ICLR
Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis
2024 J jnl
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.
CoRR
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo
2024 Misc conf
Adaptive Language-Guided Abstraction from Contrastive Explanations.
CoRL
Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu
2024 J jnl
Adaptive Language-Guided Abstraction from Contrastive Explanations.
CoRR
Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu
2024 J jnl
Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning.
CoRR
Alicia Li, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024 J jnl
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints.
CoRR
Nishanth Kumar, Fabio Ramos, Dieter Fox, Caelan Reed Garrett
2024 J jnl
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX.
J. Mach. Learn. Res.
Guangyao Zhou, Antoine Dedieu, Nishanth Kumar, Wolfgang Lehrach, Shrinu Kushagra, Dileep George, Miguel Lázaro-Gredilla
2024 J jnl
Practice Makes Perfect: Planning to Learn Skill Parameter Policies.
CoRR
Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
2024 — conf
Practice Makes Perfect: Planning to Learning Skill Parameter Policies.
Robotics: Science and Systems
Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
2024 A* conf
Preference-Conditioned Language-Guided Abstraction.
HRI
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2024 J jnl
Preference-Conditioned Language-Guided Abstraction.
CoRR
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2024 Misc conf
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction.
CoRL
Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024 J jnl
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction.
CoRR
Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024 J jnl
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning.
CoRR
Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis
2023 J jnl
Economic Trading Susceptibility: Constructing Networks of Mutual Influence through the Fitness of Countries.
Entropy
Nishanth Kumar, Henrik Jeldtoft Jensen, Eduardo Viegas
2023 Misc conf
Learning Efficient Abstract Planning Models that Choose What to Predict.
CoRL
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023 A* conf
Predicate Invention for Bilevel Planning.
AAAI
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2022 J jnl
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.
CoRR
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2022 J jnl
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.
CoRR
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022 J jnl
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX.
CoRR
Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George
2021 Misc conf
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
CoRL
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021 J jnl
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2020 A conf
Building Plannable Representations with Mixed Reality.
IROS
Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
2020 J jnl
Rate of change analysis for interestingness measures.
Knowl. Inf. Syst.
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
2020 A* conf
Task Scoping for Efficient Planning in Open Worlds (Student Abstract).
AAAI
Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris
2020 J jnl
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains.
CoRR
Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris
2020 J jnl
The Past and Present of Imitation Learning: A Citation Chain Study.
CoRR
Nishanth Kumar
2019 J jnl
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
2019 A* conf
Multi-Object Search using Object-Oriented POMDPs.
ICRA
Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L. S. Wong, Stefanie Tellex
2017 J jnl
Rate of Change Analysis for Interestingness Measures.
CoRR
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran