Nishanth Kumar
11 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (27)
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
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Keyword Collector
(63)
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(9)
Machine Learning
(5)
Learning Types
(4)
Reinforcement Learning
(3)
Robotics
(3)
Capabilities
(3)
Applications
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
symbolic abstraction
(2)
task and motion planning
(2)
bilevel planning
(2)
state abstraction
(2)
active learning
(2)
robotic manipulation
(1)
non-convex optimization
(1)
reinforcement learning
(1)
inverse reinforcement learning
(1)
learning from demonstration
(1)
hierarchical reinforcement learning
(1)
loopy belief propagation
(1)
optimal policy
(1)
robot manipulation
(1)
autonomous driving
(1)
collision avoidance
(1)
robot planning
(1)
scene understanding
(1)
symbolic planning
(1)
discrete inference
(1)
Papers
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
ICLR 2025
Differentiable GPU-Parallelized Task and Motion Planning
RSS 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
ICLR 2025
Adaptive Language-Guided Abstraction from Contrastive Explanations
CoRL 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
JMLR 2024
Practice Makes Perfect: Planning to Learning Skill Parameter Policies
RSS 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
CoRL 2024
Learning Efficient Abstract Planning Models that Choose What to Predict
CoRL 2023
Predicate Invention for Bilevel Planning
AAAI 2023
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
CoRL 2021
Task Scoping for Efficient Planning in Open Worlds (Student Abstract)
AAAI 2020