Amanda Prorok

Orcid: 0000-0001-7313-5983

According to our database1, Amanda Prorok authored at least 92 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SO(2)-Equivariant Downwash Models for Close Proximity Flight.
IEEE Robotics Autom. Lett., February, 2024

Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation.
CoRR, 2024

Generalising Multi-Agent Cooperation through Task-Agnostic Communication.
CoRR, 2024

Revisiting Recurrent Reinforcement Learning with Memory Monoids.
CoRR, 2024

2023
Modeling Aggregate Downwash Forces for Dense Multirotor Flight.
CoRR, 2023

On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks.
CoRR, 2023

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.
CoRR, 2023

Docking Multirotors in Close Proximity using Learnt Downwash Models.
CoRR, 2023

Differentially Private Decentralized Deep Learning with Consensus Algorithms.
CoRR, 2023

Constrained Environment Optimization for Prioritized Multi-Agent Navigation.
CoRR, 2023

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning.
CoRR, 2023

Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation.
CoRR, 2023

Reinforcement Learning with Fast and Forgetful Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalised f-Mean Aggregation for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Control Barrier Functions for Decentralized Multi-Agent Navigation.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation.
IROS, 2023

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Environment Optimization for Multi-Agent Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

POPGym: Benchmarking Partially Observable Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decentralized Channel Management in WLANs with Graph Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Heterogeneous Multi-Robot Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning.
IEEE Trans. Signal Process., 2022

Introduction to the Special Section on Resilience in Networked Robotic Systems.
IEEE Trans. Robotics, 2022

Explanation-Aware Experience Replay in Rule-Dense Environments.
IEEE Robotics Autom. Lett., 2022

Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution.
Frontiers Robotics AI, 2022

Learning to Navigate using Visual Sensor Networks.
CoRR, 2022

On the properties of path additions for traffic routing.
CoRR, 2022

A Critical Review of Communications in Multi-Robot Systems.
CoRR, 2022

QGNN: Value Function Factorisation with Graph Neural Networks.
CoRR, 2022

Graph Neural Networks for Decentralized Multi-Robot Target Tracking.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors.
Proceedings of the Learning for Dynamics and Control Conference, 2022

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem.
Proceedings of the Tenth International Conference on Learning Representations, 2022

VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning.
Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Fair Robust Assignment Using Redundancy.
IEEE Robotics Autom. Lett., 2021

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning.
IEEE Robotics Autom. Lett., 2021

Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties.
Frontiers Robotics AI, 2021

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems.
CoRR, 2021

Graph Convolutional Memory for Deep Reinforcement Learning.
CoRR, 2021

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection.
CoRR, 2021

Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks.
IEEE Commun. Mag., 2021

Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

An Adversarial Approach to Private Flocking in Mobile Robot Teams.
IEEE Robotics Autom. Lett., 2020

Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning.
IEEE Robotics Autom. Lett., 2020

Decentralized Control with Graph Neural Networks.
CoRR, 2020

Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication.
CoRR, 2020

Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018).
Auton. Robots, 2020

Effects of Controller Heterogeneity on Autonomous Vehicle Traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Graph Neural Networks for Decentralized Multi-Robot Path Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Robot Path Deconfliction through Prioritization by Path Prospects.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning.
Proceedings of the 4th Conference on Robot Learning, 2020

Culture-Based Explainable Human-Agent Deconfliction.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Graph Neural Networks for Decentralized Path Planning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems".
Auton. Robots, 2019

Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

A Fleet of Miniature Cars for Experiments in Cooperative Driving.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Graph Neural Networks for Learning Robot Team Coordination.
CoRR, 2018

Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty.
CoRR, 2018

Surveying Areas in Developing Regions Through Context Aware Drone Mobility.
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, 2018

Redundant Robot Assignment on Graphs with Uncertain Edge Costs.
Proceedings of the Distributed Autonomous Robotic Systems, 2018

2017
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms.
IEEE Trans. Robotics, 2017

Resilient Flocking for Mobile Robot Teams.
IEEE Robotics Autom. Lett., 2017

Formations for Resilient Robot Teams.
IEEE Robotics Autom. Lett., 2017

A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks.
CoRR, 2017

A decentralized algorithm for assembling structures with modular robots.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Privacy-preserving vehicle assignment for mobility-on-demand systems.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Intrusion detection for stochastic task allocation in robot swarms.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Calibration-free network localization using non-line-of-sight ultra-wideband measurements.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Resilient consensus for time-varying networks of dynamic agents.
Proceedings of the 2017 American Control Conference, 2017

2016
Fast Redistribution of a Swarm of Heterogeneous Robots.
EAI Endorsed Trans. Scalable Inf. Syst., 2016

Formalizing the impact of diversity on performance in a heterogeneous swarm of robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Triangular Networks for Resilient Formations.
Proceedings of the Distributed Autonomous Robotic Systems, 2016

Towards Differentially Private Aggregation of Heterogeneous Robots.
Proceedings of the Distributed Autonomous Robotic Systems, 2016

A Macroscopic Privacy Model for Heterogeneous Robot Swarms.
Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2014
Accurate indoor localization with ultra-wideband using spatial models and collaboration.
Int. J. Robotics Res., 2014

2013
Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems.
PhD thesis, 2013

2012
Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration.
Proceedings of the Experimental Robotics, 2012

Online model estimation of ultra-wideband TDOA measurements for mobile robot localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Low-cost collaborative localization for large-scale multi-robot systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
Multi-level spatial modeling for stochastic distributed robotic systems.
Int. J. Robotics Res., 2011

A reciprocal sampling algorithm for lightweight distributed multi-robot localization.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Two-phase online calibration for infrared-based inter-robot positioning modules.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Accommodation of NLOS for ultra-wideband TDOA localization in single- and multi-robot systems.
Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation, 2011

2010
Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning.
Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010

Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2008
Assembly of configurations in a networked robotic system: A case study on a reconfigurable interactive table lamp.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008


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