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Professor of Collective Intelligence and Robotics
Amanda Prorok
Multi-Agent CoordinationLearned CommunicationVision-Based NavigationSwarm Robotics
Amanda Prorok is Professor of Collective Intelligence and Robotics in the Department of Computer Science and Technology at the University of Cambridge, and a Fellow of Pembroke College. She leads the Prorok Lab, pioneering differentiable communication methods for multi-agent systems with applications to multi-robot perception and control. She is an ERC Starting Grant recipient, IEEE Senior Member, and Associate Editor for Autonomous Robots.
Publications
- Concrete multi-agent path planning enabling kinodynamically aggressive maneuvers npj Robotics 2026
- When Is Diversity Rewarded in Cooperative Multi-Agent Learning? ICLR 2026 2026
- Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding ICLR 2026 2026
- Remotely Detectable Robot Policy Watermarking ICLR 2026 2026
- No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes NeurIPS 2025 2025
- Extending robot minds through collective learning Science Robotics 2025
- ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination CoRL 2025 2025
- D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations IROS 2025 2025
- DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems ICRA 2025 2025
- Language-Conditioned Offline RL for Multi-Robot Navigation ICRA 2025 2025
- Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 2025
- Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation IEEE Transactions on Robotics 2025
- BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024
- Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 2024
- CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications CoRL 2024 2024
- Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning ICML 2024 2024
- The Cambridge RoboMaster: An Agile Multi-Robot Research Platform DARS 2024 2024
- Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 2023
- Reinforcement Learning with Fast and Forgetful Memory NeurIPS 2023 2023
- Heterogeneous multi-robot reinforcement learning AAMAS 2023 2023
- POPGym: Benchmarking Partially Observable Reinforcement Learning ICLR 2023 2023