Amanda Prorok - RankMe

166 papers A* 21A 15C 4Misc 3Journal 104Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling. CoRR Jasmine Bayrooti, Weiwei Kong, Natalia Ponomareva, Carlos Esteves, Ameesh Makadia, Amanda Prorok
2026	J	`jnl`	From Vision to Decision: Neuromorphic Control for Autonomous Navigation and Tracking. CoRR Chuwei Wang, Eduardo Sebastián, Amanda Prorok, Anastasia S. Bizyaeva
2026	A*	`conf`	Graph Attention-Guided Search for Dense Multi-Agent Pathfinding. AAAI Rishabh Jain, Keisuke Okumura, Michael Amir, Amanda Prorok
2026	J	`jnl`	Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding. CoRR Rishabh Jain, Keisuke Okumura, Michael Amir, Pietro Lio, Amanda Prorok
2026	J	`jnl`	Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots. CoRR Luca Vendruscolo, Eduardo Sebastián, Amanda Prorok, Ajay Shankar
2025	J	`jnl`	A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed [Survey]. IEEE Robotics Autom. Mag. Armin Mokhtarian, Jianye Xu, Patrick Scheffe, Maximilian Kloock, Simon Schäfer, Heeseung Bang, Viet-Anh Le, Sangeet Sankaramangalam Ulhas, Johannes Betz, Sean Wilson, Spring Berman, Liam Paull, Amanda Prorok, Bassam Alrifaee
2025	J	`jnl`	Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation. IEEE Trans. Robotics Zhan Gao, Guang Yang, Amanda Prorok
2025	A	`conf`	D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations. IROS Yuhao Zhang, Keisuke Okumura, Heedo Woo, Ajay Shankar, Amanda Prorok
2025	J	`jnl`	D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations. CoRR Yuhao Zhang, Keisuke Okumura, Heedo Woo, Ajay Shankar, Amanda Prorok
2025	A*	`conf`	DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems. ICRA Joshua Bird, Jan Blumenkamp, Amanda Prorok
2025	J	`jnl`	DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems. CoRR Joshua Bird, Jan Blumenkamp, Amanda Prorok
2025	J	`jnl`	Distributed Coverage Control for Time-Varying Spatial Processes. CoRR Federico Pratissoli, Mattia Mantovani, Amanda Prorok, Lorenzo Sabattini
2025	J	`jnl`	Distributed Coverage Control for Time-Varying Spatial Processes. IEEE Trans. Robotics Federico Pratissoli, Mattia Mantovani, Amanda Prorok, Lorenzo Sabattini
2025	A*	`conf`	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. ICLR Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2025	J	`jnl`	Extending robot minds through collective learning. Sci. Robotics Amanda Prorok
2025	J	`jnl`	Graph Attention-Guided Search for Dense Multi-Agent Pathfinding. CoRR Rishabh Jain, Keisuke Okumura, Michael Amir, Amanda Prorok
2025	J	`jnl`	LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control. CoRR Ajay Shankar, Keisuke Okumura, Amanda Prorok
2025	C	`conf`	LQR-CBF-RRT*: Safe and Optimal Motion Planning. ACC Guang Yang, Mingyu Cai, Ahmad Ahmad, Amanda Prorok, Roberto Tron, Calin Belta
2025	A*	`conf`	Language-Conditioned Offline RL for Multi-Robot Navigation. ICRA Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok
2025	J	`jnl`	No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes. CoRR Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek
2025	J	`jnl`	Prompting Robot Teams with Natural Language. CoRR Nicolas Pfitzer, Eduardo Sebastián, Ajay Shankar, Amanda Prorok
2025	J	`jnl`	ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination. CoRR Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok
2025	J	`jnl`	Remotely Detectable Robot Policy Watermarking. CoRR Michael Amir, Manon Flageat, Amanda Prorok
2025	J	`jnl`	Scaling Multi-Agent Environment Co-Design with Diffusion Models. CoRR Hao Xiang Li, Michael Amir, Amanda Prorok
2025	J	`jnl`	System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. J. Mach. Learn. Res. Matteo Bettini, Ajay Shankar, Amanda Prorok
2025	J	`jnl`	When Is Diversity Rewarded in Cooperative Multi-Agent Learning? CoRR Michael Amir, Matteo Bettini, Amanda Prorok
2025	J	`jnl`	db-LaCAM: Fast and Scalable Multi-Robot Kinodynamic Motion Planning with Discontinuity-Bounded Search and Lightweight MAPF. CoRR Akmaral Moldagalieva, Keisuke Okumura, Amanda Prorok, Wolfgang Hönig
2024	J	`jnl`	A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. CoRR Armin Mokhtarian, Jianye Xu, Patrick Scheffe, Maximilian Kloock, Simon Schäfer, Heeseung Bang, Viet-Anh Le, Sangeet Sankaramangalam Ulhas, Johannes Betz, Sean Wilson, Spring Berman, Liam Paull, Amanda Prorok, Bassam Alrifaee
2024	J	`jnl`	BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Matteo Bettini, Amanda Prorok, Vincent Moens
2024	J	`jnl`	Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation. CoRR Zhan Gao, Guang Yang, Amanda Prorok
2024	J	`jnl`	CoDreamer: Communication-Based Decentralised World Models. CoRR Edan Toledo, Amanda Prorok
2024	Misc	`conf`	CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRL Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok
2024	J	`jnl`	CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok
2024	A*	`conf`	Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. ICML Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024	J	`jnl`	Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. CoRR Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024	J	`jnl`	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. CoRR Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2024	J	`jnl`	Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR Dulhan Jayalath, Steven D. Morad, Amanda Prorok
2024	J	`jnl`	Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok
2024	J	`jnl`	Neural diversity is key to collective artificial learning. CoRR Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024	Misc	`conf`	Provably Safe Online Multi-Agent Navigation in Unknown Environments. CoRL Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok
2024	A*	`conf`	Recurrent Reinforcement Learning with Memoroids. NeurIPS Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok
2024	J	`jnl`	Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok
2024	J	`jnl`	SO(2)-Equivariant Downwash Models for Close Proximity Flight. IEEE Robotics Autom. Lett. Henry Smith, Ajay Shankar, Jennifer Gielis, Jan Blumenkamp, Amanda Prorok
2024	J	`jnl`	The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. CoRR Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok
2023	A*	`conf`	Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. ICRA Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok
2023	J	`jnl`	Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. CoRR Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok
2023	J	`jnl`	BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR Matteo Bettini, Amanda Prorok, Vincent Moens
2023	J	`jnl`	Constrained Environment Optimization for Prioritized Multi-Agent Navigation. CoRR Zhan Gao, Amanda Prorok
2023	—	`conf`	Decentralized Channel Management in WLANs with Graph Neural Networks. ICC Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok
2023	J	`jnl`	Differentially Private Decentralized Deep Learning with Consensus Algorithms. CoRR Jasmine Bayrooti, Zhan Gao, Amanda Prorok
2023	—	`conf`	Docking Multirotors in Close Proximity Using Learnt Downwash Models. ISER Ajay Shankar, Heedo Woo, Amanda Prorok
2023	J	`jnl`	Docking Multirotors in Close Proximity using Learnt Downwash Models. CoRR Ajay Shankar, Heedo Woo, Amanda Prorok
2023	A*	`conf`	Environment Optimization for Multi-Agent Navigation. ICRA Zhan Gao, Amanda Prorok
2023	A*	`conf`	Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
2023	J	`jnl`	Generalised f-Mean Aggregation for Graph Neural Networks. CoRR Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
2023	A	`conf`	Heterogeneous Multi-Robot Reinforcement Learning. AAMAS Matteo Bettini, Ajay Shankar, Amanda Prorok
2023	J	`jnl`	Heterogeneous Multi-Robot Reinforcement Learning. CoRR Matteo Bettini, Ajay Shankar, Amanda Prorok
2023	J	`jnl`	Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation. CoRR Zhan Gao, Guang Yang, Amanda Prorok
2023	—	`conf`	Modeling Aggregate Downwash Forces for Dense Multirotor Flight. ISER Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok
2023	J	`jnl`	Modeling Aggregate Downwash Forces for Dense Multirotor Flight. CoRR Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok
2023	J	`jnl`	On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR Zhan Gao, Amanda Prorok, Elvin Isufi
2023	—	`conf`	Online Control Barrier Functions for Decentralized Multi-Agent Navigation. MRS Zhan Gao, Guang Yang, Amanda Prorok
2023	A*	`conf`	POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
2023	J	`jnl`	POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
2023	A	`conf`	Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
2023	J	`jnl`	Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
2023	A*	`conf`	Reinforcement Learning with Fast and Forgetful Memory. NeurIPS Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
2023	J	`jnl`	Reinforcement Learning with Fast and Forgetful Memory. CoRR Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
2023	J	`jnl`	SO(2)-Equivariant Downwash Models for Close Proximity Flight. CoRR Henry Smith, Ajay Shankar, Jan Blumenkamp, Jennifer Gielis, Amanda Prorok
2023	A	`conf`	See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. IROS Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok
2023	J	`jnl`	System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. CoRR Matteo Bettini, Ajay Shankar, Amanda Prorok
2022	J	`jnl`	A Critical Review of Communications in Multi-Robot Systems. CoRR Jennifer Gielis, Ajay Shankar, Amanda Prorok
2022	A*	`conf`	A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. ICRA Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok
2022	J	`jnl`	Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. Frontiers Robotics AI Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
2022	J	`jnl`	Decentralized Channel Management in WLANs with Graph Neural Networks. CoRR Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok
2022	J	`jnl`	Environment Optimization for Multi-Agent Navigation. CoRR Zhan Gao, Amanda Prorok
2022	J	`jnl`	Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics Autom. Lett. Francesco Sovrano, Alex Raymond, Amanda Prorok
2022	A*	`conf`	Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. ICLR Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
2022	—	`conf`	Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar
2022	J	`jnl`	Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme
2022	J	`jnl`	Learning to Navigate using Visual Sensor Networks. CoRR Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok
2022	—	`conf`	Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
2022	J	`jnl`	On the properties of path additions for traffic routing. CoRR Matteo Bettini, Amanda Prorok
2022	J	`jnl`	QGNN: Value Function Factorisation with Graph Neural Networks. CoRR Ryan Kortvelesy, Amanda Prorok
2022	J	`jnl`	Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2022	A	`conf`	The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. AAMAS Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
2022	J	`jnl`	VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. CoRR Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
2022	—	`conf`	VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. DARS Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
2021	J	`jnl`	A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. CoRR Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok
2021	J	`jnl`	Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. CoRR Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
2021	J	`jnl`	Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar
2021	J	`jnl`	Explanation-Aware Experience Replay in Rule-Dense Environments. CoRR Francesco Sovrano, Alex Raymond, Amanda Prorok
2021	J	`jnl`	Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok
2021	J	`jnl`	Fair Robust Assignment using Redundancy. CoRR Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok
2021	J	`jnl`	Graph Convolutional Memory for Deep Reinforcement Learning. CoRR Steven D. Morad, Stephan Liwicki, Amanda Prorok
2021	J	`jnl`	Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. CoRR Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
2021	J	`jnl`	Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar
2021	J	`jnl`	Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks. IEEE Commun. Mag. Jennifer Gielis, Amanda Prorok
2021	A	`conf`	Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. IROS Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
2021	J	`jnl`	Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. CoRR Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
2021	J	`jnl`	Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics Autom. Lett. Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
2021	A*	`conf`	ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. ICRA Ryan Kortvelesy, Amanda Prorok
2021	J	`jnl`	ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. CoRR Ryan Kortvelesy, Amanda Prorok
2021	J	`jnl`	Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties. Frontiers Robotics AI Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
2021	J	`jnl`	Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties. CoRR Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
2021	J	`jnl`	The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. CoRR Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
2020	J	`jnl`	An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
2020	A	`conf`	Culture-Based Explainable Human-Agent Deconfliction. AAMAS Alex Raymond, Hatice Gunes, Amanda Prorok
2020	A*	`conf`	DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars. ICRA Michael Whitzer, Daigo Shishika, Dinesh Thakur, Vijay Kumar, Amanda Prorok
2020	J	`jnl`	Decentralized Control with Graph Neural Networks. CoRR Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2020	—	`conf`	Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. ITSC Matthew Le Maitre, Amanda Prorok
2020	J	`jnl`	Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. CoRR Matthew Le Maitre, Amanda Prorok
2020	J	`jnl`	Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. CoRR Rupert Mitchell, Jan Blumenkamp, Amanda Prorok
2020	A	`conf`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	A	`conf`	Graph Neural Networks for Decentralized Path Planning. AAMAS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	J	`jnl`	Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018). Auton. Robots Thomas M. Howard, Amanda Prorok, Hadas Kress-Gazit
2020	J	`jnl`	Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. CoRR Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
2020	J	`jnl`	Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. IEEE Robotics Autom. Lett. Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok
2020	J	`jnl`	Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning. CoRR Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok
2020	A*	`conf`	Multi-Robot Path Deconfliction through Prioritization by Path Prospects. ICRA Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok
2020	A	`conf`	Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. AAMAS Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
2020	J	`jnl`	Robust Assignment Using Redundant Robots on Transport Networks With Uncertain Travel Time. IEEE Trans Autom. Sci. Eng. Amanda Prorok
2020	Misc	`conf`	The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRL Jan Blumenkamp, Amanda Prorok
2020	J	`jnl`	The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRR Jan Blumenkamp, Amanda Prorok
2019	A*	`conf`	A Fleet of Miniature Cars for Experiments in Cooperative Driving. ICRA Nicholas Hyldmar, Yijun He, Amanda Prorok
2019	J	`jnl`	A Fleet of Miniature Cars for Experiments in Cooperative Driving. CoRR Nicholas Hyldmar, Yijun He, Amanda Prorok
2019	J	`jnl`	An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
2019	J	`jnl`	Culture-Based Explainable Human-Agent Deconfliction. CoRR Alex Raymond, Hatice Gunes, Amanda Prorok
2019	J	`jnl`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2019	J	`jnl`	Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots Amanda Prorok, Brian M. Sadler, Magnus Egerstedt, Vijay Kumar
2019	J	`jnl`	Multi-Robot Path Deconfliction through Prioritization by Path Prospects. CoRR Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok
2019	J	`jnl`	Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving. CoRR Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
2019	—	`conf`	Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract. MRS Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
2018	J	`jnl`	Graph Neural Networks for Learning Robot Team Coordination. CoRR Amanda Prorok
2018	—	`conf`	Redundant Robot Assignment on Graphs with Uncertain Edge Costs. DARS Amanda Prorok
2018	J	`jnl`	Redundant Robot Assignment on Graphs with Uncertain Edge Costs. CoRR Amanda Prorok
2018	J	`jnl`	Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty. CoRR Amanda Prorok
2018	—	`conf`	Surveying Areas in Developing Regions Through Context Aware Drone Mobility. DroNet@MobiSys Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo, Amanda Prorok
2017	J	`jnl`	A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks. CoRR Amanda Prorok, Vijay Kumar
2017	A	`conf`	A decentralized algorithm for assembling structures with modular robots. IROS David Saldana, Bruno Gabrich, Michael Whitzer, Amanda Prorok, Mario F. M. Campos, Mark Yim, Vijay Kumar
2017	—	`conf`	Calibration-free network localization using non-line-of-sight ultra-wideband measurements. IPSN Carmelo Di Franco, Amanda Prorok, Nikolay Atanasov, Benjamin P. Kempke, Prabal Dutta, Vijay Kumar, George J. Pappas
2017	J	`jnl`	Formations for Resilient Robot Teams. IEEE Robotics Autom. Lett. Luis Guerrero-Bonilla, Amanda Prorok, Vijay Kumar
2017	A	`conf`	Intrusion detection for stochastic task allocation in robot swarms. IROS Florian Maushart, Amanda Prorok, M. Ani Hsieh, Vijay Kumar
2017	J	`jnl`	Privacy-Preserving Vehicle Assignment for Mobility-on-Demand Systems. CoRR Amanda Prorok, Vijay Kumar
2017	A	`conf`	Privacy-preserving vehicle assignment for mobility-on-demand systems. IROS Amanda Prorok, Vijay Kumar
2017	J	`jnl`	Resilient Flocking for Mobile Robot Teams. IEEE Robotics Autom. Lett. Kelsey Saulnier, David Saldana, Amanda Prorok, George J. Pappas, Vijay Kumar
2017	C	`conf`	Resilient consensus for time-varying networks of dynamic agents. ACC David Saldana, Amanda Prorok, Shreyas Sundaram, Mario F. M. Campos, Vijay Kumar
2017	J	`jnl`	The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. IEEE Trans. Robotics Amanda Prorok, M. Ani Hsieh, Vijay Kumar
2016	—	`conf`	A Macroscopic Privacy Model for Heterogeneous Robot Swarms. ANTS Conference Amanda Prorok, Vijay Kumar
2016	J	`jnl`	Fast Redistribution of a Swarm of Heterogeneous Robots. EAI Endorsed Trans. Scalable Inf. Syst. Amanda Prorok, M. Ani Hsieh, Vijay Kumar
2016	A*	`conf`	Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. ICRA Amanda Prorok, M. Ani Hsieh, Vijay Kumar
2016	—	`conf`	Towards Differentially Private Aggregation of Heterogeneous Robots. DARS Amanda Prorok, Vijay Kumar
2016	—	`conf`	Triangular Networks for Resilient Formations. DARS David Saldaña, Amanda Prorok, Mario F. M. Campos, Vijay Kumar
2015	—	`conf`	Fast Redistribution of a Swarm of Heterogeneous Robots. BICT Amanda Prorok, M. Ani Hsieh, Vijay Kumar
2014	J	`jnl`	Accurate indoor localization with ultra-wideband using spatial models and collaboration. Int. J. Robotics Res. Amanda Prorok, Alcherio Martinoli
2013	—	`—`	Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems. Amanda Prorok
2012	—	`conf`	Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration. ISER Amanda Prorok, Alcherio Martinoli
2012	A*	`conf`	Low-cost collaborative localization for large-scale multi-robot systems. ICRA Amanda Prorok, Alexander Bahr, Alcherio Martinoli
2012	A*	`conf`	Online model estimation of ultra-wideband TDOA measurements for mobile robot localization. ICRA Amanda Prorok, Lukas Gonon, Alcherio Martinoli
2011	A	`conf`	A reciprocal sampling algorithm for lightweight distributed multi-robot localization. IROS Amanda Prorok, Alcherio Martinoli
2011	C	`conf`	Accommodation of NLOS for ultra-wideband TDOA localization in single- and multi-robot systems. IPIN Amanda Prorok, Phillip Tomé, Alcherio Martinoli
2011	J	`jnl`	Multi-level spatial modeling for stochastic distributed robotic systems. Int. J. Robotics Res. Amanda Prorok, Nikolaus Correll, Alcherio Martinoli
2011	A	`conf`	Two-phase online calibration for infrared-based inter-robot positioning modules. IROS Sven Gowal, Amanda Prorok, Alcherio Martinoli
2010	C	`conf`	Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning. IPIN Amanda Prorok, Adrian Arfire, Alexander Bahr, John R. Farserotu, Alcherio Martinoli
2010	A*	`conf`	Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks. ICRA Amanda Prorok, Christopher M. Cianci, Alcherio Martinoli
2008	—	`conf`	Assembly of configurations in a networked robotic system: A case study on a reconfigurable interactive table lamp. SIS Christopher M. Cianci, Julien Nembrini, Amanda Prorok, Alcherio Martinoli