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2020 – today
- 2025
[j22]Federico Pratissoli
, Mattia Mantovani, Amanda Prorok, Lorenzo Sabattini:
Distributed Coverage Control for Time-Varying Spatial Processes. IEEE Trans. Robotics 41: 1602-1617 (2025)- [i64]Federico Pratissoli, Mattia Mantovani, Amanda Prorok, Lorenzo Sabattini:
Distributed Coverage Control for Time-Varying Spatial Processes. CoRR abs/2502.07595 (2025) - [i63]Joshua Bird, Jan Blumenkamp, Amanda Prorok:
DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems. CoRR abs/2503.04126 (2025) - 2024
- [j21]Matteo Bettini, Amanda Prorok, Vincent Moens:
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 217:1-217:10 (2024) - [j20]Henry Smith, Ajay Shankar, Jennifer Gielis, Jan Blumenkamp, Amanda Prorok:
SO(2)-Equivariant Downwash Models for Close Proximity Flight. IEEE Robotics Autom. Lett. 9(2): 1174-1181 (2024) - [c55]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRL 2024: 3780-3808 - [c54]Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok:
Provably Safe Online Multi-Agent Navigation in Unknown Environments. CoRL 2024: 5466-5486 - [c53]Matteo Bettini, Ryan Kortvelesy, Amanda Prorok:
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. ICML 2024 - [c52]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok:
Recurrent Reinforcement Learning with Memoroids. NeurIPS 2024 - [i62]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok:
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR abs/2402.09900 (2024) - [i61]Dulhan Jayalath, Steven D. Morad, Amanda Prorok:
Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR abs/2403.06750 (2024) - [i60]Zhan Gao, Guang Yang, Amanda Prorok:
Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation. CoRR abs/2403.14583 (2024) - [i59]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR abs/2405.01107 (2024) - [i58]Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok:
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. CoRR abs/2405.02198 (2024) - [i57]Matteo Bettini, Ryan Kortvelesy, Amanda Prorok:
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. CoRR abs/2405.15054 (2024) - [i56]Edan Toledo, Amanda Prorok:
CoDreamer: Communication-Based Decentralised World Models. CoRR abs/2406.13600 (2024) - [i55]Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok:
Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR abs/2407.20164 (2024) - [i54]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:
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. CoRR abs/2408.14199 (2024) - [i53]Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok:
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. CoRR abs/2410.04988 (2024) - [i52]Matteo Bettini, Ryan Kortvelesy, Amanda Prorok:
Neural diversity is key to collective artificial learning. CoRR abs/2412.16244 (2024) - 2023
- [c51]Matteo Bettini, Ajay Shankar, Amanda Prorok:
Heterogeneous Multi-Robot Reinforcement Learning. AAMAS 2023: 1485-1494 - [c50]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS 2023: 1661-1669 - [c49]Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok:
Decentralized Channel Management in WLANs with Graph Neural Networks. ICC 2023: 3072-3077 - [c48]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR 2023 - [c47]Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok:
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. ICRA 2023: 3432-3439 - [c46]Zhan Gao, Amanda Prorok:
Environment Optimization for Multi-Agent Navigation. ICRA 2023: 3440-3446 - [c45]Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok:
See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. IROS 2023: 7333-7340 - [c44]Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok:
Modeling Aggregate Downwash Forces for Dense Multirotor Flight. ISER 2023: 393-404 - [c43]Ajay Shankar, Heedo Woo, Amanda Prorok:
Docking Multirotors in Close Proximity Using Learnt Downwash Models. ISER 2023: 427-437 - [c42]Zhan Gao, Guang Yang, Amanda Prorok:
Online Control Barrier Functions for Decentralized Multi-Agent Navigation. MRS 2023: 107-113 - [c41]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS 2023 - [c40]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. NeurIPS 2023 - [i51]Matteo Bettini, Ajay Shankar, Amanda Prorok:
Heterogeneous Multi-Robot Reinforcement Learning. CoRR abs/2301.07137 (2023) - [i50]Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok:
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. CoRR abs/2301.08451 (2023) - [i49]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR abs/2302.12826 (2023) - [i48]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR abs/2303.01859 (2023) - [i47]Zhan Gao, Guang Yang, Amanda Prorok:
Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation. CoRR abs/2303.04313 (2023) - [i46]Matteo Bettini, Ajay Shankar, Amanda Prorok:
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. CoRR abs/2305.02128 (2023) - [i45]Zhan Gao, Amanda Prorok:
Constrained Environment Optimization for Prioritized Multi-Agent Navigation. CoRR abs/2305.11260 (2023) - [i44]Henry Smith, Ajay Shankar, Jan Blumenkamp, Jennifer Gielis, Amanda Prorok:
SO(2)-Equivariant Downwash Models for Close Proximity Flight. CoRR abs/2305.18983 (2023) - [i43]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. CoRR abs/2306.13826 (2023) - [i42]Jasmine Bayrooti, Zhan Gao, Amanda Prorok:
Differentially Private Decentralized Deep Learning with Consensus Algorithms. CoRR abs/2306.13892 (2023) - [i41]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. CoRR abs/2310.04128 (2023) - [i40]Ajay Shankar, Heedo Woo, Amanda Prorok:
Docking Multirotors in Close Proximity using Learnt Downwash Models. CoRR abs/2311.13988 (2023) - [i39]Matteo Bettini, Amanda Prorok, Vincent Moens:
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR abs/2312.01472 (2023) - [i38]Zhan Gao, Amanda Prorok, Elvin Isufi:
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR abs/2312.02372 (2023) - [i37]Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok:
Modeling Aggregate Downwash Forces for Dense Multirotor Flight. CoRR abs/2312.03488 (2023) - 2022
- [j19]Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. Frontiers Robotics AI 9: 733876 (2022) - [j18]Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics Autom. Lett. 7(2): 898-905 (2022) - [j17]Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme:
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38(1): 2-4 (2022) - [j16]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70: 1932-1946 (2022) - [c39]Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump:
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. AAMAS 2022: 1804-1808 - [c38]Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok:
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. DARS 2022: 42-56 - [c37]Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok:
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. ICLR 2022 - [c36]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. ICRA 2022: 8772-8778 - [c35]Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok:
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC 2022: 59-73 - [c34]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR 2022: 195-202 - [i36]Ryan Kortvelesy, Amanda Prorok:
QGNN: Value Function Factorisation with Graph Neural Networks. CoRR abs/2205.13005 (2022) - [i35]Jennifer Gielis, Ajay Shankar, Amanda Prorok:
A Critical Review of Communications in Multi-Robot Systems. CoRR abs/2206.09484 (2022) - [i34]Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok:
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. CoRR abs/2207.03530 (2022) - [i33]Matteo Bettini, Amanda Prorok:
On the properties of path additions for traffic routing. CoRR abs/2207.04505 (2022) - [i32]Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok:
Learning to Navigate using Visual Sensor Networks. CoRR abs/2208.00759 (2022) - [i31]Zhan Gao, Amanda Prorok:
Environment Optimization for Multi-Agent Navigation. CoRR abs/2209.11279 (2022) - [i30]Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok:
Decentralized Channel Management in WLANs with Graph Neural Networks. CoRR abs/2210.16949 (2022) - 2021
- [j15]Jennifer Gielis, Amanda Prorok:
Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks. IEEE Commun. Mag. 59(1): 16-21 (2021) - [j14]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties. Frontiers Robotics AI 8: 691637 (2021) - [j13]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. 6(2): 4217-4224 (2021) - [j12]Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics Autom. Lett. 6(3): 5533-5540 (2021) - [c33]Ryan Kortvelesy, Amanda Prorok:
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. ICRA 2021: 9161-9167 - [c32]Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. IROS 2021: 7512-7519 - [i29]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment using Redundancy. CoRR abs/2102.06265 (2021) - [i28]Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. CoRR abs/2103.02142 (2021) - [i27]Ryan Kortvelesy, Amanda Prorok:
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. CoRR abs/2103.13446 (2021) - [i26]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties. CoRR abs/2103.15660 (2021) - [i25]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR abs/2105.08601 (2021) - [i24]Steven D. Morad, Stephan Liwicki, Amanda Prorok:
Graph Convolutional Memory for Deep Reinforcement Learning. CoRR abs/2106.14117 (2021) - [i23]Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. CoRR abs/2107.00032 (2021) - [i22]Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump:
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. CoRR abs/2107.12254 (2021) - [i21]Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar:
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR abs/2109.12343 (2021) - [i20]Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. CoRR abs/2109.14711 (2021) - [i19]Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok:
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. CoRR abs/2110.05291 (2021) - [i18]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. CoRR abs/2111.01777 (2021) - 2020
- [j11]Thomas M. Howard, Amanda Prorok, Hadas Kress-Gazit:
Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018). Auton. Robots 44(7): 1287-1288 (2020) - [j10]Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. 5(2): 1009-1016 (2020) - [j9]Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok:
Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. IEEE Robotics Autom. Lett. 5(4): 6932-6939 (2020) - [j8]Amanda Prorok:
Robust Assignment Using Redundant Robots on Transport Networks With Uncertain Travel Time. IEEE Trans Autom. Sci. Eng. 17(4): 2025-2037 (2020) - [c31]Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. AAMAS 2020: 1107-1115 - [c30]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Path Planning. AAMAS 2020: 1901-1903 - [c29]Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. AAMAS 2020: 1928-1930 - [c28]Jan Blumenkamp, Amanda Prorok:
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRL 2020: 1394-1414 - [c27]Michael Whitzer, Daigo Shishika, Dinesh Thakur, Vijay Kumar, Amanda Prorok:
DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars. ICRA 2020: 8791-8797 - [c26]Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. ICRA 2020: 9809-9815 - [c25]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS 2020: 11785-11792 - [c24]Matthew Le Maitre, Amanda Prorok:
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. ITSC 2020: 1-6 - [i17]Matthew Le Maitre, Amanda Prorok:
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. CoRR abs/2005.04995 (2020) - [i16]Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok:
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning. CoRR abs/2005.05420 (2020) - [i15]Jan Blumenkamp, Amanda Prorok:
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRR abs/2008.02616 (2020) - [i14]Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. CoRR abs/2011.13219 (2020) - [i13]Rupert Mitchell, Jan Blumenkamp, Amanda Prorok:
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. CoRR abs/2012.00508 (2020) - [i12]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Decentralized Control with Graph Neural Networks. CoRR abs/2012.14906 (2020)
2010 – 2019
- 2019
- [j7]Amanda Prorok, Brian M. Sadler, Magnus Egerstedt, Vijay Kumar:
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots 43(3): 741 (2019) - [c23]Nicholas Hyldmar, Yijun He, Amanda Prorok:
A Fleet of Miniature Cars for Experiments in Cooperative Driving. ICRA 2019: 3238-3244 - [c22]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract. MRS 2019: 92-94 - [i11]Nicholas Hyldmar, Yijun He, Amanda Prorok:
A Fleet of Miniature Cars for Experiments in Cooperative Driving. CoRR abs/1902.06133 (2019) - [i10]Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. CoRR abs/1908.02361 (2019) - [i9]Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR abs/1909.10387 (2019) - [i8]Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. CoRR abs/1911.10098 (2019) - [i7]Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving. CoRR abs/1911.11699 (2019) - [i6]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR abs/1912.06095 (2019) - 2018
- [c21]Amanda Prorok:
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. DARS 2018: 313-327 - [c20]Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo, Amanda Prorok:
Surveying Areas in Developing Regions Through Context Aware Drone Mobility. DroNet@MobiSys 2018: 27-32 - [i5]Amanda Prorok:
Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty. CoRR abs/1804.04986 (2018) - [i4]Amanda Prorok:
Graph Neural Networks for Learning Robot Team Coordination. CoRR abs/1805.03737 (2018) - [i3]Amanda Prorok:
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. CoRR abs/1810.04016 (2018) - 2017
- [j6]Luis Guerrero-Bonilla, Amanda Prorok, Vijay Kumar:
Formations for Resilient Robot Teams. IEEE Robotics Autom. Lett. 2(2): 841-848 (2017) - [j5]Kelsey Saulnier, David Saldana, Amanda Prorok, George J. Pappas, Vijay Kumar:
Resilient Flocking for Mobile Robot Teams. IEEE Robotics Autom. Lett. 2(2): 1039-1046 (2017) - [j4]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. IEEE Trans. Robotics 33(2): 346-358 (2017) - [c19]David Saldana, Amanda Prorok, Shreyas Sundaram, Mario F. M. Campos, Vijay Kumar:
Resilient consensus for time-varying networks of dynamic agents. ACC 2017: 252-258 - [c18]Carmelo Di Franco, Amanda Prorok, Nikolay Atanasov, Benjamin P. Kempke, Prabal Dutta, Vijay Kumar, George J. Pappas:
Calibration-free network localization using non-line-of-sight ultra-wideband measurements. IPSN 2017: 235-246 - [c17]Florian Maushart, Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Intrusion detection for stochastic task allocation in robot swarms. IROS 2017: 1830-1837 - [c16]Amanda Prorok, Vijay Kumar:
Privacy-preserving vehicle assignment for mobility-on-demand systems. IROS 2017: 1869-1876 - [c15]David Saldana, Bruno Gabrich, Michael Whitzer, Amanda Prorok, Mario F. M. Campos, Mark Yim, Vijay Kumar:
A decentralized algorithm for assembling structures with modular robots. IROS 2017: 2736-2743 - [i2]Amanda Prorok, Vijay Kumar:
Privacy-Preserving Vehicle Assignment for Mobility-on-Demand Systems. CoRR abs/1703.04738 (2017) - [i1]Amanda Prorok, Vijay Kumar:
A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks. CoRR abs/1703.04797 (2017) - 2016
- [j3]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e4 (2016) - [c14]Amanda Prorok, Vijay Kumar:
A Macroscopic Privacy Model for Heterogeneous Robot Swarms. ANTS Conference 2016: 15-27 - [c13]David Saldaña, Amanda Prorok, Mario F. M. Campos, Vijay Kumar:
Triangular Networks for Resilient Formations. DARS 2016: 147-159 - [c12]Amanda Prorok, Vijay Kumar:
Towards Differentially Private Aggregation of Heterogeneous Robots. DARS 2016: 587-601 - [c11]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. ICRA 2016: 5364-5371 - 2015
- [c10]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. BICT 2015: 249-255 - 2014
- [j2]Amanda Prorok, Alcherio Martinoli:
Accurate indoor localization with ultra-wideband using spatial models and collaboration. Int. J. Robotics Res. 33(4): 547-568 (2014) - 2013
- [b1]Amanda Prorok:
Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems. EPFL, Switzerland, 2013 - 2012
- [c9]Amanda Prorok, Lukas Gonon, Alcherio Martinoli:
Online model estimation of ultra-wideband TDOA measurements for mobile robot localization. ICRA 2012: 807-814 - [c8]Amanda Prorok, Alexander Bahr, Alcherio Martinoli:
Low-cost collaborative localization for large-scale multi-robot systems. ICRA 2012: 4236-4241 - [c7]Amanda Prorok, Alcherio Martinoli:
Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration. ISER 2012: 321-335 - 2011
- [j1]Amanda Prorok, Nikolaus Correll, Alcherio Martinoli:
Multi-level spatial modeling for stochastic distributed robotic systems. Int. J. Robotics Res. 30(5): 574-589 (2011) - [c6]Amanda Prorok, Phillip Tomé, Alcherio Martinoli:
Accommodation of NLOS for ultra-wideband TDOA localization in single- and multi-robot systems. IPIN 2011: 1-9 - [c5]Amanda Prorok, Alcherio Martinoli:
A reciprocal sampling algorithm for lightweight distributed multi-robot localization. IROS 2011: 3241-3247 - [c4]Sven Gowal, Amanda Prorok, Alcherio Martinoli:
Two-phase online calibration for infrared-based inter-robot positioning modules. IROS 2011: 3313-3319 - 2010
- [c3]Amanda Prorok, Christopher M. Cianci, Alcherio Martinoli:
Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks. ICRA 2010: 5453-5459 - [c2]Amanda Prorok, Adrian Arfire, Alexander Bahr, John R. Farserotu, Alcherio Martinoli:
Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning. IPIN 2010: 1-9
2000 – 2009
- 2008
- [c1]Christopher M. Cianci, Julien Nembrini, Amanda Prorok, Alcherio Martinoli:
Assembly of configurations in a networked robotic system: A case study on a reconfigurable interactive table lamp. SIS 2008: 1-7
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-11 18:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
