A Robotic Sensor Network for monitoring carp in Minnesota lakes. - Deepak Bhadauria; Volkan Isler; Andrew Studenski; Pratap Tokekar (ICRA, 2010)

A robotic system for monitoring carp in Minnesota lakes. - Pratap Tokekar; Deepak Bhadauria; Andrew Studenski; Volkan Isler (J. Field Robotics, 2010)

Energy-optimal velocity profiles for car-like robots. - Pratap Tokekar; Nikhil Karnad; Volkan Isler (ICRA, 2011)

Active target localization for bearing based robotic telemetry. - Pratap Tokekar; Joshua Vander Hook; Volkan Isler (IROS, 2011)

Cautious greedy strategy for bearing-based active localization: Experiments and theoretical analysis. - Joshua Vander Hook; Pratap Tokekar; Volkan Isler (ICRA, 2012)

Local-Search Strategy for Active Localization of Multiple Invasive Fish. - Joshua Vander Hook; Pratap Tokekar; Elliot Branson; Przemyslaw G. Bajer; Peter W. Sorensen; Volkan Isler (ISER, 2012)

Sensor placement and selection for bearing sensors with bounded uncertainty. - Pratap Tokekar; Volkan Isler (ICRA, 2013)

Energy-Efficient Path Planning for Solar-Powered Mobile Robots. - Patrick A. Plonski; Pratap Tokekar; Volkan Isler (J. Field Robotics, 2013)

Tracking Aquatic Invaders: Autonomous Robots for Monitoring Invasive Fish. - Pratap Tokekar; Elliot Branson; Joshua Vander Hook; Volkan Isler (IEEE Robotics Autom. Mag., 2013)

Multi-target visual tracking with aerial robots. - Pratap Tokekar; Volkan Isler; Antonio Franchi (IROS, 2014)

Energy-optimal trajectory planning for car-like robots. - Pratap Tokekar; Nikhil Karnad; Volkan Isler (Auton. Robots, 2014)

Cautious Greedy Strategy for Bearing-only Active Localization: Analysis and Field Experiments. - Joshua Vander Hook; Pratap Tokekar; Volkan Isler (J. Field Robotics, 2014)

Devices, systems, and methods for automated monitoring enabling precision agriculture. - Jnaneshwar Das; Gareth Cross; Chao Qu; Anurag Makineni; Pratap Tokekar; Yash Mulgaonkar; Vijay Kumar 001 (CASE, 2015)

Visibility-based persistent monitoring with robot teams. - Pratap Tokekar; Vijay Kumar 001 (IROS, 2015)

Finding and tracking targets in the wild: Algorithms and field deployments. - Volkan Isler; Narges Noori; Patrick A. Plonski; Alessandro Renzaglia; Pratap Tokekar; Joshua Vander Hook (SSRR, 2015)

Algorithms for Cooperative Active Localization of Static Targets With Mobile Bearing Sensors Under Communication Constraints. - Joshua Vander Hook; Pratap Tokekar; Volkan Isler (IEEE Trans. Robotics, 2015)

Non-myopic target tracking strategies for non-linear systems. - Zhongshun Zhang; Pratap Tokekar (CDC, 2016)

A Geometric Approach for Multi-Robot Exploration in Orthogonal Polygons. - Aravind Preshant Premkumar; Kevin Yu; Pratap Tokekar (WAFR, 2016)

Polygon guarding with orientation. - Pratap Tokekar; Volkan Isler (Comput. Geom., 2016)

Algorithms for Visibility-Based Monitoring with Robot Teams. - Pratap Tokekar; Ashish Kumar Budhiraja; Vijay Kumar 001 (CoRR, 2016)

Non-Myopic Target Tracking Strategies for State-Dependent Noise. - Zhongshun Zhang; Pratap Tokekar (CoRR, 2016)

Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture. - Pratap Tokekar; Joshua Vander Hook; David J. Mulla; Volkan Isler (IEEE Trans. Robotics, 2016)

Algorithm for searching and tracking an unknown and varying number of mobile targets using a limited FoV sensor. - Yoonchang Sung; Pratap Tokekar (ICRA, 2017)

Active target tracking with self-triggered communications. - Lifeng Zhou; Pratap Tokekar (ICRA, 2017)

Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations and for Package Delivery. - Kevin Yu; Ashish Kumar Budhiraja; Pratap Tokekar (CoRR, 2017)

A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. - Lifeng Zhou; Pratap Tokekar (CoRR, 2017)

Multi-Fidelity Reinforcement Learning with Gaussian Processes. - Varun Suryan; Nahush Gondhalekar; Pratap Tokekar (CoRR, 2017)

Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots. - Philip M. Dames; Pratap Tokekar; Vijay Kumar 001 (Int. J. Robotics Res., 2017)

JFR Special Issue on Agricultural Robotics. - David Ball; Ben Upcroft; Eldert J. van Henten; Anton van den Hengel; Pratap Tokekar; Jnaneshwar Das (J. Field Robotics, 2017)

Radiation search operations using scene understanding with autonomous UAV and UGV. - Gordon A. Christie; Adam Shoemaker; Kevin Kochersberger; Pratap Tokekar; Lance McLean; Alexander Leonessa (J. Field Robotics, 2017)

Rapid Deployment of Mobile Robots Under Temporal, Performance, Perception, and Resource Constraints. - Jose Luis Susa Rincon; Pratap Tokekar; Vijay Kumar 001; Stefano Carpin (IEEE Robotics Autom. Lett., 2017)

Strategies to Design Signals to Spoof Kalman Filter. - Zhongshun Zhang; Lifeng Zhou; Pratap Tokekar (ACC, 2018)

Constrained-Action POMDPs for Multi-Agent Intelligent Knowledge Distribution. - Michael C. Fowler; Pratap Tokekar; T. Charles Clancy; Ryan K. Williams (ICRA, 2018)

Distributed Simultaneous Action and Target Assignment for Multi-Robot Multi-Target Tracking. - Yoonchang Sung; Ashish Kumar Budhiraja; Ryan K. Williams; Pratap Tokekar (ICRA, 2018)

Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations. - Kevin Yu; Ashish Kumar Budhiraja; Pratap Tokekar (ICRA, 2018)

Visibility-Based Monitoring of a Path Using a Heterogeneous Robot Team. - Parikshit Maini; Gautam Gupta; Pratap Tokekar; P. B. Sujit (IROS, 2018)

Persistent Monitoring with Refueling on a Terrain Using a Team of Aerial and Ground Robots. - Parikshit Maini; Kevin Yu; P. B. Sujit; Pratap Tokekar (IROS, 2018)

View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs. - Prajwal Shanthakumar; Kevin Yu; Mandeep Singh; Jonah Orevillo; Eric Bianchi; Matthew Hebdon; Pratap Tokekar (ISER, 2018)

Learning a Spatial Field with Gaussian Process Regression in Minimum Time. - Varun Suryan; Pratap Tokekar (WAFR, 2018)

An Approximation Algorithm for Risk-Averse Submodular Optimization. - Lifeng Zhou; Pratap Tokekar (WAFR, 2018)

Guest editorial: Special issue on active perception. - Robert Fitch; Volkan Isler; Pratap Tokekar; Davide Scaramuzza 001 (Auton. Robots, 2018)

A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. - Zhongshun Zhang; Yoonchang Sung; Lifeng Zhou; Jonathon M. Smereka; Joseph Lee; Pratap Tokekar (CoRR, 2018)

Strategies to Inject Spoofed Measurement Data. - Zhongshun Zhang; Lifeng Zhou; Pratap Tokekar (CoRR, 2018)

A Competitive Algorithm for Online Multi-Robot Exploration of a Translating Plume. - Yoonchang Sung; Pratap Tokekar (ICRA, 2019)

Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles. - Kevin Yu; Jason M. O'Kane; Pratap Tokekar (ICRA, 2019)

Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. - Zhongshun Zhang; Joseph Lee; Jonathon M. Smereka; Yoonchang Sung; Lifeng Zhou; Pratap Tokekar (ICRA, 2019)

An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. - Lifeng Zhou; Pratap Tokekar (MRS, 2019)

Visual Monitoring for Multiple Points of Interest on a 2.5D Terrain using a UAV with Limited Field-of-View Constraint. - Parikshit Maini; P. B. Suijt; Pratap Tokekar (CoRR, 2019)

Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception. - Maymoonah Toubeh; Pratap Tokekar (CoRR, 2019)

View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs. - Kevin Yu; Prajwal Shanthakumar; Jonah Orevillo; Eric Bianchi; Matthew Hebdon; Pratap Tokekar (CoRR, 2019)

Crop Height and Plot Estimation from Unmanned Aerial Vehicles using 3D LiDAR. - Harnaik Dhami; Kevin Yu; Tianshu Xu; Qian Zhu; Kshitiz Dhakal; James Friel; Song Li; Pratap Tokekar (CoRR, 2019)

Algorithms and experiments on routing of unmanned aerial vehicles with mobile recharging stations. - Kevin Yu; Ashish Kumar Budhiraja; Spencer Buebel; Pratap Tokekar (J. Field Robotics, 2019)

Resilient Active Target Tracking With Multiple Robots. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (IEEE Robotics Autom. Lett., 2019)

Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. - Lifeng Zhou; Pratap Tokekar (IEEE Trans Autom. Sci. Eng., 2019)

Sensor Assignment Algorithms to Improve Observability While Tracking Targets. - Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2019)

Recreating Bat Behavior on Quad-Rotor UAVs - A Simulation Approach. - Muhammad Hassan Tanveer; Antony Thomas; Xiaowei Wu 003; Rolf Müller 001; Pratap Tokekar; Hongxiao Zhu (FLAIRS, 2020)

Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (ICRA, 2020)

Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR. - Harnaik Dhami; Kevin Yu; Tianshu Xu; Qian Zhu; Kshitiz Dhakal; James Friel; Song Li; Pratap Tokekar (IROS, 2020)

Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints. - Clayton Mangette; Pratap Tokekar (IROS, 2020)

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. - Vishnu D. Sharma; Maymoonah Toubeh; Lifeng Zhou; Pratap Tokekar (IROS, 2020)

Distributed assignment with limited communication for multi-robot multi-target tracking. - Yoonchang Sung; Ashish Kumar Budhiraja; Ryan K. Williams; Pratap Tokekar (Auton. Robots, 2020)

Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. - William E. Gerhard III; Pratap Tokekar (CoRR, 2020)

Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception. - Deeksha Dixit; Pratap Tokekar (CoRR, 2020)

Risk-Aware Submodular Optimization for Multi-Robot Coordination. - Lifeng Zhou; Pratap Tokekar (CoRR, 2020)

Combining Geometric and Information-Theoretic Approaches for Multi-Robot Exploration. - Aravind Preshant Premkumar; Kevin Yu; Pratap Tokekar (CoRR, 2020)

Robust Multi-Agent Task Assignment in Failure-Prone and Adversarial Environments. - Russell Schwartz; Pratap Tokekar (CoRR, 2020)

Improved Resilient Coverage Maximization with Multiple Robots. - Ishat E. Rabban; Pratap Tokekar (CoRR, 2020)

Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Guangyao Shi; Ishat E. Rabban; Pratap Tokekar (CoRR, 2020)

Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (CoRR, 2020)

Multi-Agent Reinforcement Learning for Persistent Monitoring. - Jingxi Chen; Amrish Baskaran; Zhongshun Zhang; Pratap Tokekar (CoRR, 2020)

GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection. - Kevin Yu; Harnaik Dhami; Kartik Madhira; Pratap Tokekar (CoRR, 2020)

Multifidelity Reinforcement Learning With Gaussian Processes: Model-Based and Model-Free Algorithms. - Varun Suryan; Nahush Gondhalekar; Pratap Tokekar (IEEE Robotics Autom. Mag., 2020)

Learning a Spatial Field in Minimum Time With a Team of Robots. - Varun Suryan; Pratap Tokekar (IEEE Trans. Robotics, 2020)

Communication-Aware Multi-robot Coordination with Submodular Maximization. - Guangyao Shi; Ishat E. Rabban; Lifeng Zhou; Pratap Tokekar (ICRA, 2021)

Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera. - Yoonchang Sung; Deeksha Dixit; Pratap Tokekar (ICRA, 2021)

Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (IROS, 2021)

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring. - Jingxi Chen; Amrish Baskaran; Zhongshun Zhang; Pratap Tokekar (IROS, 2021)

Game tree search for minimizing detectability and maximizing visibility. - Zhongshun Zhang; Jonathon M. Smereka; Joseph Lee; Lifeng Zhou; Yoonchang Sung; Pratap Tokekar (Auton. Robots, 2021)

Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images. - Vishnu Dutt Sharma; Pratap Tokekar (CoRR, 2021)

Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. - Lifeng Zhou; Pratap Tokekar (CoRR, 2021)

GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints. - Manav Mishra; Prithvi Poddar; Jingxi Chen; Pratap Tokekar; P. B. Sujit (CoRR, 2021)

COCO-Bridge: Structural Detail Data Set for Bridge Inspections. - Eric Bianchi; Amos Lynn Abbott; Pratap Tokekar; Matthew Hebdon (J. Comput. Civ. Eng., 2021)

Distributed Resilient Submodular Action Selection in Adversarial Environments. - Jun Liu 060; Lifeng Zhou; Pratap Tokekar; Ryan K. Williams (IEEE Robotics Autom. Lett., 2021)

Failure-Resilient Coverage Maximization With Multiple Robots. - Ishat E. Rabban; Pratap Tokekar (IEEE Robotics Autom. Lett., 2021)

Visual Monitoring of Points of Interest on a 2.5D Terrain Using a UAV With Limited Field-of-View Constraint. - Parikshit Maini; Pratap Tokekar; P. B. Sujit (IEEE Trans. Aerosp. Electron. Syst., 2021)

Visibility-Based Persistent Monitoring of Piecewise Linear Features on a Terrain Using Multiple Aerial and Ground Robots. - Parikshit Maini; Pratap Tokekar; P. B. Sujit (IEEE Trans Autom. Sci. Eng., 2021)

Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process. - Guangyao Shi; Nare Karapetyan; Ahmad Bilal Asghar; Jean-Paul Reddinger; James Dotterweich; James Humann; Pratap Tokekar (CDC, 2022)

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. - Zhi Zhang 012; Zhuoran Yang; Han Liu 001; Pratap Tokekar; Furong Huang (ICLR, 2022)

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. - Amrit Singh Bedi; Souradip Chakraborty; Anjaly Parayil; Brian M. Sadler; Pratap Tokekar; Alec Koppel (ICML, 2022)

Interactive Multi-Robot Aerial Cinematography Through Hemispherical Manifold Coverage. - Xiaotian Xu; Guangyao Shi; Pratap Tokekar; Yancy Diaz-Mercado (IROS, 2022)

Graph Neural Networks for Decentralized Multi-Robot Target Tracking. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Pratap Tokekar; Vijay Kumar 001 (SSRR, 2022)

Occupancy Map Prediction for Improved Indoor Robot Navigation. - Vishnu Dutt Sharma; Jingxi Chen; Abhinav Shrivastava; Pratap Tokekar (CoRR, 2022)

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. - Souradip Chakraborty; Amrit Singh Bedi; Alec Koppel; Pratap Tokekar; Dinesh Manocha (CoRR, 2022)

Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous. - Ahmad Bilal Asghar; Guangyao Shi; Nare Karapetyan; James Humann; Jean-Paul Reddinger; James Dotterweich; Pratap Tokekar (CoRR, 2022)

Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information. - Vishnu Dutt Sharma; John P. Dickerson; Pratap Tokekar (CoRR, 2022)

Dynamically Finding Optimal Observer States to Minimize Localization Error with Complex State-Dependent Noise. - Troi Williams; Po-Lun Chen; Sparsh Bhogavilli; Vaibhav Sanjay; Pratap Tokekar (CoRR, 2022)

Multi-Robot Symmetric Rendezvous Search on the Line. - Deniz Ozsoyeller; Pratap Tokekar (IEEE Robotics Autom. Lett., 2022)

GM-PHD Filter for Searching and Tracking an Unknown Number of Targets With a Mobile Sensor With Limited FOV. - Yoonchang Sung; Pratap Tokekar (IEEE Trans Autom. Sci. Eng., 2022)

Tree Search Techniques for Adversarial Target Tracking With Distance-Dependent Measurement Noise. - Zhongshun Zhang; Pratap Tokekar (IEEE Trans. Control. Syst. Technol., 2022)

Risk-Aware Submodular Optimization for Multirobot Coordination. - Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2022)

Distributed Attack-Robust Submodular Maximization for Multirobot Planning. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (IEEE Trans. Robotics, 2022)

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. - Souradip Chakraborty; Amrit Singh Bedi; Pratap Tokekar; Alec Koppel; Brian M. Sadler; Furong Huang; Dinesh Manocha (AAAI, 2023)

Risk-aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs. - Ahmad Bilal Asghar; Guangyao Shi; Nare Karapetyan; James Humann; Jean-Paul Reddinger; James Dotterweich; Pratap Tokekar (ICRA, 2023)

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. - Souradip Chakraborty; Amrit Singh Bedi; Kasun Weerakoon; Prithvi Poddar; Alec Koppel; Pratap Tokekar; Dinesh Manocha (ICRA, 2023)

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. - Shamak Dutta; Nils Wilde; Pratap Tokekar; Stephen L. Smith 001 (ICRA, 2023)

D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. - Vishnu Dutt Sharma; Lifeng Zhou; Pratap Tokekar (ICRA, 2023)

Pred-NBV: Prediction-Guided Next-Best-View Planning for 3D Object Reconstruction. - Harnaik Dhami; Vishnu D. Sharma; Pratap Tokekar (IROS, 2023)

Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. - Rui Liu; Guangyao Shi; Pratap Tokekar (IROS, 2023)

ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation. - Vishnu D. Sharma; Jingxi Chen; Pratap Tokekar (IROS, 2023)

Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem. - Guangyao Shi; Pratap Tokekar (IROS, 2023)

Where Am I Now? Dynamically Finding Optimal Sensor States to Minimize Localization Uncertainty for a Perception-Denied Rover. - Troi Williams; Po-Lun Chen; Sparsh Bhogavilli; Vaibhav Sanjay; Pratap Tokekar (MRS, 2023)

RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. - Souradip Chakraborty; Kasun Weerakoon; Prithvi Poddar; Pratap Tokekar; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction. - Harnaik Dhami; Vishnu D. Sharma; Pratap Tokekar (CoRR, 2023)

Decision-Theoretic Approaches for Robotic Environmental Monitoring - A Survey. - Yoonchang Sung; Jnaneshwar Das; Pratap Tokekar (CoRR, 2023)

Efficiently Identifying Hotspots in a Spatially Varying Field with Multiple Robots. - Varun Suryan; Pratap Tokekar (CoRR, 2023)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2023)

Energy-Aware Route Planning for a Battery-Constrained Robot with Multiple Charging Depots. - Ahmad Bilal Asghar; Pratap Tokekar (CoRR, 2023)

Decision-Oriented Intervention Cost Prediction for Multi-robot Persistent Monitoring. - Guangyao Shi; Chak Lam Shek; Nare Karapetyan; Pratap Tokekar (CoRR, 2023)

D2M2N: Decentralized Differentiable Memory-Enabled Mapping and Navigation for Multiple Robots. - Md. Ishat E. Rabban; Pratap Tokekar (CoRR, 2023)

Enhancing Multi-Agent Coordination through Common Operating Picture Integration. - Peihong Yu; Bhoram Lee; Aswin Raghavan; Supun Samarasekera; Pratap Tokekar; James Zachary Hare (CoRR, 2023)

REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. - Souradip Chakraborty; Amisha Bhaskar; Anukriti Singh; Pratap Tokekar; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2023)

A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring. - Yoonchang Sung; Zhiang Chen; Jnaneshwar Das; Pratap Tokekar (Found. Trends Robotics, 2023)

Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. - Guangyao Shi; Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2023)

Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon? - Chak Lam Shek; Guangyao Shi; Ahmad Bilal Asghar; Pratap Tokekar (ACC, 2024)

AG-Cvg: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. - Nare Karapetyan; Ahmad Bilal Asghar; Amisha Bhaskar; Guangyao Shi; Dinesh Manocha; Pratap Tokekar (ICRA, 2024)

UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning. - Xiaomin Lin; Nare Karapetyan; Kaustubh Joshi 002; Tianchen Liu; Nikhil Chopra; Miao Yu 007; Pratap Tokekar; Yiannis Aloimonos (ICRA, 2024)

Pre-Trained Masked Image Model for Mobile Robot Navigation. - Vishnu Dutt Sharma; Anukriti Singh; Pratap Tokekar (ICRA, 2024)

LAVA: Long-horizon Visual Action based Food Acquisition. - Amisha Bhaskar; Rui Liu; Vishnu D. Sharma; Guangyao Shi; Pratap Tokekar (IROS, 2024)

MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction. - Harnaik Dhami; Vishnu Dutt Sharma; Pratap Tokekar (IROS, 2024)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Wesley A. Suttle; Carl E. Busart; Erin G. Zaroukian; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (IROS, 2024)

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. - Joshua McClellan; Naveed Haghani; John Winder; Furong Huang; Pratap Tokekar (NeurIPS, 2024)

When to Localize?: A POMDP Approach. - Troi Williams; Kasra Torshizi; Pratap Tokekar (SSRR, 2024)

Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. - Rui Liu; Erfaun Noorani; Pratap Tokekar; John S. Baras (CoRR, 2024)

Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types. - Rui Liu; Amisha Bhaskar; Pratap Tokekar (CoRR, 2024)

Fast k-connectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Md. Ishat E. Rabban; Guangyao Shi; Griffin Bonner; Pratap Tokekar (CoRR, 2024)

GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection. - Harnaik Dhami; Charith Reddy; Vishnu Dutt Sharma; Troi Williams; Pratap Tokekar (CoRR, 2024)

Is Generative Communication between Embodied Agents Good for Zero-Shot ObjectNav? - Vishnu Sashank Dorbala; Vishnu Dutt Sharma; Pratap Tokekar; Dinesh Manocha (CoRR, 2024)

NAVINACT: Combining Navigation and Imitation Learning for Bootstrapping Reinforcement Learning. - Amisha Bhaskar; Zahiruddin Mahammad; Sachin R. Jadhav; Pratap Tokekar (CoRR, 2024)

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition. - Rui Liu; Zahiruddin Mahammad; Amisha Bhaskar; Pratap Tokekar (CoRR, 2024)

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. - Anas Barakat; Souradip Chakraborty; Peihong Yu; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2024)

Selected papers from WAFR 2022. - Jason M. O'Kane; Michael W. Otte; Dorsa Sadigh; Pratap Tokekar (Int. J. Robotics Res., 2024)

Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning. - Jun Liu 060; Murtaza Rangwala; Kulbir Singh Ahluwalia; Shayan Ghajar; Harnaik Dhami; Pratap Tokekar; Benjamin F. Tracy; Ryan K. Williams (IEEE Trans Autom. Sci. Eng., 2024)

When to Localize? A Risk-Constrained Reinforcement Learning Approach. - Chak Lam Shek; Kasra Torshizi; Troi Williams; Pratap Tokekar (ACC, 2025)

Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (AAMAS, 2025)

Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints. - Manav Mishra; Prithvi Poddar; Rajat Agrawal; Jingxi Chen; Pratap Tokekar; P. B. Sujit (IEEE Trans Autom. Sci. Eng., 2025)

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. - Peihong Yu; Manav Mishra; Alec Koppel; Carl E. Busart; Priya Narayan; Dinesh Manocha; Amrit Singh Bedi; Pratap Tokekar (Trans. Mach. Learn. Res., 2025)

TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (CoRR, 2025)

AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction. - Rui Liu; Peng Gao; Yu Shen; Ming Lin; Pratap Tokekar (CoRR, 2025)

CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems. - Rui Liu; Yu Shen; Peng Gao; Pratap Tokekar; Ming Lin (CoRR, 2025)

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches. - Peihong Yu; Amisha Bhaskar; Anukriti Singh; Zahiruddin Mahammad; Pratap Tokekar (CoRR, 2025)

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences. - Anukriti Singh; Amisha Bhaskar; Peihong Yu; Souradip Chakraborty; Ruthwik Dasyam; Amrit Singh Bedi; Pratap Tokekar (CoRR, 2025)

PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL. - Joshua McClellan; Greyson Brothers; Furong Huang; Pratap Tokekar (CoRR, 2025)

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm. - Chak Lam Shek; Amrit Singh Bedi; Anjon Basak; Ellen R. Novoseller; Nicholas R. Waytowich; Priya Narayanan; Dinesh Manocha; Pratap Tokekar (CoRR, 2025)

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning. - Chak Lam Shek; Pratap Tokekar (CoRR, 2025)

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach. - Chak Lam Shek; Guangyao Shi; Pratap Tokekar (CoRR, 2025)

GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning. - Kelin Yu; Sheng Zhang 004; Harshit Soora; Furong Huang; Heng Huang; Pratap Tokekar; Ruohan Gao (CoRR, 2025)