Pratap Tokekar
Associate Professor
Develops algorithms for multi-robot planning, active sensing and environmental monitoring with aerial and ground robots.
Pratap Tokekar's lab at UMD works on planning, control & multi-robot systems and autonomous vehicles & drones. 48 papers since 2023, 34 at top venues, mostly ICRA and IROS. 5 PhD students. 22 alumni, most often to Amazon and Bosch.
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 71%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 22
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 8 · collecting
- 14 papers2025 · T1 9
- 12 papers2024 · T1 7
- 12 papers2023 · T1 10
T1 venuesOtherVenues: ICRA, IROS, NeurIPS, AAMAS, ACC
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems22 papers
- Autonomous vehicles & drones2 papers
- environmental monitoring0 papers
- ground0 papers
- ground robots0 papers
Paper list
From the lab homepage.
202610 papers
- ICLR (T1)Adaptive Conformal Guidance for Learning under Uncertainty
- AIAA SciTechAutonomous Drone Performance During Maritime Integration for Gust Response: Lab Experiment
- EMNLP (T1)Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
- IEEE Transactions on Aerospace and Electronic SystemsGATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
- AAMAS (T1)Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
- CoRL (T1)PolyFusion: Collision-Free Robot Learning using Bernstein Polynomials
- CoRL (T1)PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning
- NeurIPS (T1)Reinforcing Multimodal Reasoning Against Visual Degradation
- CVPR (T1)Stable and Efficient Single-Rollout RL for Multimodal Reasoning
- IROS (T1)WESPR: Wind-adaptive Energy-Efficient Safe Perception & Planning for Robust Flight with Quadrotors
202514 papers
- TMLR (T1)Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
- NeurIPS (T1)CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
- Autonomous RobotsFast k-connectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance: Algorithmic and Learning-based Solutions
- ICCV (T1)GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
- ICRA (T1)Improving Zero-Shot ObjectNav with Generative Communication
- ICRA (T1)IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
- RA-LLearning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm
- IEEE SENSORS JOURNALMachine-Learning Based Classification of On-Bottom Oyster Farms using a Mechanical Scanning Sonar
- IROS (T1)MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation
- NeurIPS (T1)On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
- RLCPEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
- RSS (T1)Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
202412 papers
- ICRA (T1)AG-CVG: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV
- NeurIPS (T1)Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
- DARSFast k-connectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance
- IROS (T1)LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments
- IROS (T1)Long-horizon Visual Action based Food Acquisition
- IROS (T1)MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction
- TASEMulti-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints
- ISRRNAVINACT: Combining Navigation and Imitation Learning for Bootstrapping Reinforcement Learning
- ICRA (T1)Pre-Trained Masked Image Model for Mobile Robot Navigation
- ICRA (T1)UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning
- SSRRWhen to Localize?: A POMDP Approach
- ACCWhere to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon
202312 papers
- ICRA (T1)Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy
- ICRA (T1)D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
- IROS (T1)Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise
- ICRA (T1)Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization
- IROS (T1)Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem
- ICUASGATSBI: An online GTSP-based algorithm for targeted surface bridge inspection
- AAAI (T1)Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
- IROS (T1)Pred-NBV: Prediction-guided Next-Best-View Planning for 3D Object Reconstruction
- IROS (T1)ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation
- ICRA (T1)Risk-aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs
- T-RO (T1)Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks
- MRSWhere Am I Now? Dynamically Finding Optimal Sensor States to Minimize Localization Uncertainty for a Perception-Denied Rover
Where alumni went22 listed, 43% to industry
Industry 3Academia 4
Most often to
- Amazon
- Bosch
- Shield AI
Also to
- Drexel University
- NTU Singapore
- USC
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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