Assembly of configurations in a networked robotic system: A case study on a reconfigurable interactive table lamp. - Christopher M. Cianci; Julien Nembrini; Amanda Prorok; Alcherio Martinoli (SIS, 2008)

Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks. - Amanda Prorok; Christopher M. Cianci; Alcherio Martinoli (ICRA, 2010)

Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning. - Amanda Prorok; Adrian Arfire; Alexander Bahr; John R. Farserotu; Alcherio Martinoli (IPIN, 2010)

Accommodation of NLOS for ultra-wideband TDOA localization in single- and multi-robot systems. - Amanda Prorok; Phillip Tomé; Alcherio Martinoli (IPIN, 2011)

Two-phase online calibration for infrared-based inter-robot positioning modules. - Sven Gowal; Amanda Prorok; Alcherio Martinoli (IROS, 2011)

A reciprocal sampling algorithm for lightweight distributed multi-robot localization. - Amanda Prorok; Alcherio Martinoli (IROS, 2011)

Multi-level spatial modeling for stochastic distributed robotic systems. - Amanda Prorok; Nikolaus Correll; Alcherio Martinoli (Int. J. Robotics Res., 2011)

Low-cost collaborative localization for large-scale multi-robot systems. - Amanda Prorok; Alexander Bahr; Alcherio Martinoli (ICRA, 2012)

Online model estimation of ultra-wideband TDOA measurements for mobile robot localization. - Amanda Prorok; Lukas Gonon; Alcherio Martinoli (ICRA, 2012)

Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration. - Amanda Prorok; Alcherio Martinoli (ISER, 2012)

Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems. - Amanda Prorok (2013)

Accurate indoor localization with ultra-wideband using spatial models and collaboration. - Amanda Prorok; Alcherio Martinoli (Int. J. Robotics Res., 2014)

A Macroscopic Privacy Model for Heterogeneous Robot Swarms. - Amanda Prorok; Vijay Kumar 001 (ANTS Conference, 2016)

Towards Differentially Private Aggregation of Heterogeneous Robots. - Amanda Prorok; Vijay Kumar 001 (DARS, 2016)

Triangular Networks for Resilient Formations. - David Saldaña; Amanda Prorok; Mario F. M. Campos; Vijay Kumar 001 (DARS, 2016)

Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. - Amanda Prorok; M. Ani Hsieh; Vijay Kumar 001 (ICRA, 2016)

Fast Redistribution of a Swarm of Heterogeneous Robots. - Amanda Prorok; M. Ani Hsieh; Vijay Kumar 001 (EAI Endorsed Trans. Scalable Inf. Syst., 2016)

Resilient consensus for time-varying networks of dynamic agents. - David Saldana; Amanda Prorok; Shreyas Sundaram; Mario F. M. Campos; Vijay Kumar 001 (ACC, 2017)

Calibration-free network localization using non-line-of-sight ultra-wideband measurements. - Carmelo Di Franco; Amanda Prorok; Nikolay Atanasov 001; Benjamin P. Kempke; Prabal Dutta; Vijay Kumar 001; George J. Pappas (IPSN, 2017)

Intrusion detection for stochastic task allocation in robot swarms. - Florian Maushart; Amanda Prorok; M. Ani Hsieh; Vijay Kumar 001 (IROS, 2017)

Privacy-preserving vehicle assignment for mobility-on-demand systems. - Amanda Prorok; Vijay Kumar 001 (IROS, 2017)

A decentralized algorithm for assembling structures with modular robots. - David Saldana; Bruno Gabrich; Michael Whitzer; Amanda Prorok; Mario F. M. Campos; Mark Yim; Vijay Kumar 001 (IROS, 2017)

A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks. - Amanda Prorok; Vijay Kumar 001 (CoRR, 2017)

Formations for Resilient Robot Teams. - Luis Guerrero-Bonilla; Amanda Prorok; Vijay Kumar 001 (IEEE Robotics Autom. Lett., 2017)

Resilient Flocking for Mobile Robot Teams. - Kelsey Saulnier; David Saldana; Amanda Prorok; George J. Pappas; Vijay Kumar 001 (IEEE Robotics Autom. Lett., 2017)

The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. - Amanda Prorok; M. Ani Hsieh; Vijay Kumar 001 (IEEE Trans. Robotics, 2017)

Redundant Robot Assignment on Graphs with Uncertain Edge Costs. - Amanda Prorok (DARS, 2018)

Surveying Areas in Developing Regions Through Context Aware Drone Mobility. - Alessandro Montanari; Fredrika Kringberg; Alice Valentini; Cecilia Mascolo; Amanda Prorok (DroNet@MobiSys, 2018)

Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty. - Amanda Prorok (CoRR, 2018)

Graph Neural Networks for Learning Robot Team Coordination. - Amanda Prorok (CoRR, 2018)

A Fleet of Miniature Cars for Experiments in Cooperative Driving. - Nicholas Hyldmar; Yijun He; Amanda Prorok (ICRA, 2019)

Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract. - Leiming Zhang; Amanda Prorok; Subhrajit Bhattacharya (MRS, 2019)

Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". - Amanda Prorok; Brian M. Sadler; Magnus Egerstedt; Vijay Kumar 001 (Auton. Robots, 2019)

Graph Neural Networks for Decentralized Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (AAMAS, 2020)

Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. - Rupert Mitchell; Jenny Fletcher; Jacopo Panerati; Amanda Prorok (AAMAS, 2020)

Culture-Based Explainable Human-Agent Deconfliction. - Alex Raymond; Hatice Gunes; Amanda Prorok (AAMAS, 2020)

The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. - Jan Blumenkamp; Amanda Prorok (CoRL, 2020)

DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars. - Michael Whitzer; Daigo Shishika; Dinesh Thakur; Vijay Kumar 001; Amanda Prorok (ICRA, 2020)

Multi-Robot Path Deconfliction through Prioritization by Path Prospects. - Wenying Wu; Subhrajit Bhattacharya; Amanda Prorok (ICRA, 2020)

Graph Neural Networks for Decentralized Multi-Robot Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (IROS, 2020)

Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. - Matthew Le Maitre; Amanda Prorok (ITSC, 2020)

Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018). - Thomas M. Howard; Amanda Prorok; Hadas Kress-Gazit (Auton. Robots, 2020)

Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. - Rupert Mitchell; Jan Blumenkamp; Amanda Prorok (CoRR, 2020)

Decentralized Control with Graph Neural Networks. - Fernando Gama; Qingbiao Li; Ekaterina I. Tolstaya; Amanda Prorok; Alejandro Ribeiro (CoRR, 2020)

Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. - Binyu Wang; Zhe Liu 022; Qingbiao Li; Amanda Prorok (IEEE Robotics Autom. Lett., 2020)

An Adversarial Approach to Private Flocking in Mobile Robot Teams. - Hehui Zheng; Jacopo Panerati; Giovanni Beltrame; Amanda Prorok (IEEE Robotics Autom. Lett., 2020)

Robust Assignment Using Redundant Robots on Transport Networks With Uncertain Travel Time. - Amanda Prorok (IEEE Trans Autom. Sci. Eng., 2020)

ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. - Ryan Kortvelesy; Amanda Prorok (ICRA, 2021)

Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. - Jacopo Panerati; Hehui Zheng; Siqi Zhou; James Xu; Amanda Prorok; Angela P. Schoellig (IROS, 2021)

Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks. - Jennifer Gielis; Amanda Prorok (IEEE Commun. Mag., 2021)

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2021)

Graph Convolutional Memory for Deep Reinforcement Learning. - Steven D. Morad; Stephan Liwicki; Amanda Prorok (CoRR, 2021)

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. - Amanda Prorok; Matthew Malencia; Luca Carlone; Gaurav S. Sukhatme; Brian M. Sadler; Vijay Kumar 001 (CoRR, 2021)

Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties. - Leiming Zhang; Amanda Prorok; Subhrajit Bhattacharya (Frontiers Robotics AI, 2021)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. - Qingbiao Li; Weizhe Lin; Zhe Liu 022; Amanda Prorok (IEEE Robotics Autom. Lett., 2021)

Fair Robust Assignment Using Redundancy. - Matthew Malencia; Vijay Kumar 001; George J. Pappas; Amanda Prorok (IEEE Robotics Autom. Lett., 2021)

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. - Amanda Prorok; Jan Blumenkamp; Qingbiao Li; Ryan Kortvelesy; Zhe Liu 022; Ethan Stump (AAMAS, 2022)

VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. - Matteo Bettini; Ryan Kortvelesy; Jan Blumenkamp; Amanda Prorok (DARS, 2022)

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. - Benjamin Hudson; Qingbiao Li; Matthew Malencia; Amanda Prorok (ICLR, 2022)

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. - Jan Blumenkamp; Steven D. Morad; Jennifer Gielis; Qingbiao Li; Amanda Prorok (ICRA, 2022)

Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. - Steven D. Morad; Stephan Liwicki; Ryan Kortvelesy; Roberto Mecca; Amanda Prorok (L4DC, 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)

QGNN: Value Function Factorisation with Graph Neural Networks. - Ryan Kortvelesy; Amanda Prorok (CoRR, 2022)

A Critical Review of Communications in Multi-Robot Systems. - Jennifer Gielis; Ajay Shankar; Amanda Prorok (CoRR, 2022)

On the properties of path additions for traffic routing. - Matteo Bettini; Amanda Prorok (CoRR, 2022)

Learning to Navigate using Visual Sensor Networks. - Jan Blumenkamp; Qingbiao Li; Binyu Wang; Zhe Liu 022; Amanda Prorok (CoRR, 2022)

Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. - Alex Raymond; Matthew Malencia; Guilherme Paulino-Passos; Amanda Prorok (Frontiers Robotics AI, 2022)

Explanation-Aware Experience Replay in Rule-Dense Environments. - Francesco Sovrano; Alex Raymond; Amanda Prorok (IEEE Robotics Autom. Lett., 2022)

Introduction to the Special Section on Resilience in Networked Robotic Systems. - Amanda Prorok; Vijay Kumar 001; Brian M. Sadler; Gaurav S. Sukhatme (IEEE Trans. Robotics, 2022)

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. - Fernando Gama; Qingbiao Li; Ekaterina I. Tolstaya; Amanda Prorok; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Heterogeneous Multi-Robot Reinforcement Learning. - Matteo Bettini; Ajay Shankar; Amanda Prorok (AAMAS, 2023)

Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. - Ryan Kortvelesy; Steven D. Morad; Amanda Prorok (AAMAS, 2023)

Decentralized Channel Management in WLANs with Graph Neural Networks. - Zhan Gao; Yulin Shao; Deniz Gündüz; Amanda Prorok (ICC, 2023)

POPGym: Benchmarking Partially Observable Reinforcement Learning. - Steven D. Morad; Ryan Kortvelesy; Matteo Bettini; Stephan Liwicki; Amanda Prorok (ICLR, 2023)

Environment Optimization for Multi-Agent Navigation. - Zhan Gao; Amanda Prorok (ICRA, 2023)

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. - Chenning Yu; Qingbiao Li; Sicun Gao; Amanda Prorok (ICRA, 2023)

See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. - Jan Blumenkamp; Qingbiao Li; Binyu Wang; Zhe Liu 022; Amanda Prorok (IROS, 2023)

Modeling Aggregate Downwash Forces for Dense Multirotor Flight. - Jennifer Gielis; Ajay Shankar; Ryan Kortvelesy; Amanda Prorok (ISER, 2023)

Docking Multirotors in Close Proximity Using Learnt Downwash Models. - Ajay Shankar; Heedo Woo; Amanda Prorok (ISER, 2023)

Online Control Barrier Functions for Decentralized Multi-Agent Navigation. - Zhan Gao; Guang Yang 018; Amanda Prorok (MRS, 2023)

Generalised f-Mean Aggregation for Graph Neural Networks. - Ryan Kortvelesy; Steven D. Morad; Amanda Prorok (NeurIPS, 2023)

Reinforcement Learning with Fast and Forgetful Memory. - Steven D. Morad; Ryan Kortvelesy; Stephan Liwicki; Amanda Prorok (NeurIPS, 2023)

Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation. - Zhan Gao; Guang Yang 018; Amanda Prorok (CoRR, 2023)

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. - Matteo Bettini; Ajay Shankar; Amanda Prorok (CoRR, 2023)

Constrained Environment Optimization for Prioritized Multi-Agent Navigation. - Zhan Gao; Amanda Prorok (CoRR, 2023)

Differentially Private Decentralized Deep Learning with Consensus Algorithms. - Jasmine Bayrooti; Zhan Gao; Amanda Prorok (CoRR, 2023)

On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. - Zhan Gao; Amanda Prorok; Elvin Isufi (CoRR, 2023)

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. - Jan Blumenkamp; Steven D. Morad; Jennifer Gielis; Amanda Prorok (CoRL, 2024)

Provably Safe Online Multi-Agent Navigation in Unknown Environments. - Zhan Gao; Guang Yang 018; Jasmine Bayrooti; Amanda Prorok (CoRL, 2024)

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. - Matteo Bettini; Ryan Kortvelesy; Amanda Prorok (ICML, 2024)

Recurrent Reinforcement Learning with Memoroids. - Steven D. Morad; Chris Lu 001; Ryan Kortvelesy; Stephan Liwicki; Jakob N. Foerster; Amanda Prorok (NeurIPS, 2024)

Revisiting Recurrent Reinforcement Learning with Memory Monoids. - Steven D. Morad; Chris Lu 001; Ryan Kortvelesy; Stephan Liwicki; Jakob N. Foerster; Amanda Prorok (CoRR, 2024)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication. - Dulhan Jayalath; Steven D. Morad; Amanda Prorok (CoRR, 2024)

Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation. - Zhan Gao; Guang Yang 018; Amanda Prorok (CoRR, 2024)

The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. - Jan Blumenkamp; Ajay Shankar; Matteo Bettini; Joshua Bird; Amanda Prorok (CoRR, 2024)

CoDreamer: Communication-Based Decentralised World Models. - Edan Toledo; Amanda Prorok (CoRR, 2024)

Language-Conditioned Offline RL for Multi-Robot Navigation. - Steven D. Morad; Ajay Shankar; Jan Blumenkamp; Amanda Prorok (CoRR, 2024)

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. - 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; et al. (CoRR, 2024)

Neural diversity is key to collective artificial learning. - Matteo Bettini; Ryan Kortvelesy; Amanda Prorok (CoRR, 2024)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. - Matteo Bettini; Amanda Prorok; Vincent Moens (J. Mach. Learn. Res., 2024)

SO(2)-Equivariant Downwash Models for Close Proximity Flight. - Henry Smith; Ajay Shankar; Jennifer Gielis; Jan Blumenkamp; Amanda Prorok (IEEE Robotics Autom. Lett., 2024)

LQR-CBF-RRT*: Safe and Optimal Motion Planning. - Guang Yang 018; Mingyu Cai; Ahmad Ahmad; Amanda Prorok; Roberto Tron; Calin Belta (ACC, 2025)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. - Jasmine Bayrooti; Carl Henrik Ek; Amanda Prorok (ICLR, 2025)

Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation. - Zhan Gao; Guang Yang 018; Amanda Prorok (IEEE Trans. Robotics, 2025)

Distributed Coverage Control for Time-Varying Spatial Processes. - Federico Pratissoli; Mattia Mantovani; Amanda Prorok; Lorenzo Sabattini (IEEE Trans. Robotics, 2025)

DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems. - Joshua Bird; Jan Blumenkamp; Amanda Prorok (CoRR, 2025)

D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations. - Yuhao Zhang; Keisuke Okumura 001; Heedo Woo; Ajay Shankar; Amanda Prorok (CoRR, 2025)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning? - Michael Amir; Matteo Bettini; Amanda Prorok (CoRR, 2025)

LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control. - Ajay Shankar; Keisuke Okumura 001; Amanda Prorok (CoRR, 2025)

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination. - Michael Amir; Guang Yang 018; Zhan Gao; Keisuke Okumura 001; Heedo Woo; Amanda Prorok (CoRR, 2025)