<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Prorok Lab</title><description>Activity stream from the Prorok Lab — papers, talks, videos, posts, and openings.</description><link>https://prorok-lab.com/</link><item><title>Concrete multi-agent path planning enabling kinodynamically aggressive maneuvers</title><link>https://prorok-lab.com/publications/concrete-mapf-npj-robotics/</link><guid isPermaLink="true">https://prorok-lab.com/publications/concrete-mapf-npj-robotics/</guid><description>PAPER — Keisuke Okumura, Guang Yang, Zhan Gao, Heedo Woo, Amanda Prorok</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Concrete Multi-Agent Path Planning Enabling Kinodynamically Aggressive Maneuvers</title><link>https://prorok-lab.com/videos/concrete-mapf/</link><guid isPermaLink="true">https://prorok-lab.com/videos/concrete-mapf/</guid><description>Framework for aggressive multi-robot coordination deployed with 40 robots (20 aerial, 8 ground, 12 obstacles) in a compact lab space. Published in npj Robotics (2026).</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate></item><item><title>When Is Diversity Rewarded in Cooperative Multi-Agent Learning?</title><link>https://prorok-lab.com/publications/iclr2026-diversity-rewarded/</link><guid isPermaLink="true">https://prorok-lab.com/publications/iclr2026-diversity-rewarded/</guid><description>PAPER — Michael Amir, Matteo Bettini, Amanda Prorok</description><pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding</title><link>https://prorok-lab.com/publications/iclr2026-hypergraph-mapf/</link><guid isPermaLink="true">https://prorok-lab.com/publications/iclr2026-hypergraph-mapf/</guid><description>PAPER — Rishi Jain, Keisuke Okumura, Michael Amir, Pietro Lio, Amanda Prorok</description><pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Remotely Detectable Robot Policy Watermarking</title><link>https://prorok-lab.com/publications/iclr2026-watermarking/</link><guid isPermaLink="true">https://prorok-lab.com/publications/iclr2026-watermarking/</guid><description>PAPER — Michael Amir, Manon Flageat, Amanda Prorok</description><pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate></item><item><title>No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes</title><link>https://prorok-lab.com/publications/neurips2025-thompson-sampling/</link><guid isPermaLink="true">https://prorok-lab.com/publications/neurips2025-thompson-sampling/</guid><description>PAPER — Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek</description><pubDate>Wed, 10 Dec 2025 00:00:00 GMT</pubDate></item><item><title>Extending robot minds through collective learning</title><link>https://prorok-lab.com/publications/extending-robot-minds/</link><guid isPermaLink="true">https://prorok-lab.com/publications/extending-robot-minds/</guid><description>PAPER — Amanda Prorok</description><pubDate>Wed, 24 Sep 2025 00:00:00 GMT</pubDate></item><item><title>It&apos;s finally here! My new Viewpoint Article &apos;Extending robot</title><link>https://prorok-lab.com/posts/science-robotics-extending-minds/</link><guid isPermaLink="true">https://prorok-lab.com/posts/science-robotics-extending-minds/</guid><description>It&apos;s finally here! My new Viewpoint Article &apos;Extending robot minds through collective learning&apos; is published in Science Robotics. I argue for a paradigm shift: collective robotic intelligence — diverse, specialised agents that learn and work together — instead of massive monolithic &apos;do-it-all&apos; generalist robots.</description><pubDate>Wed, 24 Sep 2025 00:00:00 GMT</pubDate></item><item><title>ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination</title><link>https://prorok-lab.com/publications/recode-corl2025/</link><guid isPermaLink="true">https://prorok-lab.com/publications/recode-corl2025/</guid><description>PAPER — Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok</description><pubDate>Tue, 12 Aug 2025 00:00:00 GMT</pubDate></item><item><title>ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination</title><link>https://prorok-lab.com/videos/recode-corl2025/</link><guid isPermaLink="true">https://prorok-lab.com/videos/recode-corl2025/</guid><description>Hybrid decentralized framework combining optimization-based control with MARL. Learns dynamic constraints to improve multi-agent coordination. Presented at CoRL 2025.</description><pubDate>Tue, 12 Aug 2025 00:00:00 GMT</pubDate></item><item><title>D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations</title><link>https://prorok-lab.com/publications/d4orm-iros2025/</link><guid isPermaLink="true">https://prorok-lab.com/publications/d4orm-iros2025/</guid><description>PAPER — Yixiao Zhang, Keisuke Okumura, Heedo Woo, Ajay Shankar, Amanda Prorok</description><pubDate>Fri, 04 Jul 2025 00:00:00 GMT</pubDate></item><item><title>D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations</title><link>https://prorok-lab.com/videos/d4orm-iros2025/</link><guid isPermaLink="true">https://prorok-lab.com/videos/d4orm-iros2025/</guid><description>Optimization method generating kinodynamically feasible, collision-free multi-robot trajectories using diffusion denoising. Evaluated for teams of up to 16 robots in 2D and 3D worlds. Presented at IROS 2025.</description><pubDate>Fri, 04 Jul 2025 00:00:00 GMT</pubDate></item><item><title>DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems</title><link>https://prorok-lab.com/publications/dvm-slam-icra2025/</link><guid isPermaLink="true">https://prorok-lab.com/publications/dvm-slam-icra2025/</guid><description>PAPER — Joshua Bird, Jan Blumenkamp, Amanda Prorok</description><pubDate>Thu, 15 May 2025 00:00:00 GMT</pubDate></item><item><title>Language-Conditioned Offline RL for Multi-Robot Navigation</title><link>https://prorok-lab.com/publications/language-conditioned-offline-rl-icra2025/</link><guid isPermaLink="true">https://prorok-lab.com/publications/language-conditioned-offline-rl-icra2025/</guid><description>PAPER — Steven Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok</description><pubDate>Thu, 15 May 2025 00:00:00 GMT</pubDate></item><item><title>Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling</title><link>https://prorok-lab.com/publications/iclr2025-thompson-sampling/</link><guid isPermaLink="true">https://prorok-lab.com/publications/iclr2025-thompson-sampling/</guid><description>PAPER — Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok</description><pubDate>Thu, 24 Apr 2025 00:00:00 GMT</pubDate></item><item><title>Synthesizing Multi-Agent Policies: From Cooperative Robot Perception to Human-Led Fleet Control</title><link>https://prorok-lab.com/talks/ace-network-forum-oxford-2025/</link><guid isPermaLink="true">https://prorok-lab.com/talks/ace-network-forum-oxford-2025/</guid><description>Invited · ACE Network Forum — University of Oxford</description><pubDate>Wed, 26 Mar 2025 00:00:00 GMT</pubDate></item><item><title>Prorok Lab at the ACE Network Forum! Amanda Prorok delivered</title><link>https://prorok-lab.com/posts/ace-network-forum-oxford/</link><guid isPermaLink="true">https://prorok-lab.com/posts/ace-network-forum-oxford/</guid><description>Prorok Lab at the ACE Network Forum! Amanda Prorok delivered a keynote at the University of Oxford: &apos;Synthesizing Multi-Agent Policies: From Cooperative Robot Perception to Human-Led Fleet Control&apos; — sharing our latest research on how multi-agent systems can enable smarter decision-making.</description><pubDate>Wed, 26 Mar 2025 00:00:00 GMT</pubDate></item><item><title>Big news — our work has been featured on BBC Click! From swa</title><link>https://prorok-lab.com/posts/bbc-click-feature/</link><guid isPermaLink="true">https://prorok-lab.com/posts/bbc-click-feature/</guid><description>Big news — our work has been featured on BBC Click! From swarm robotics to autonomous collaboration, our innovations are shaping the future of intelligent systems. Huge shoutout to Keisuke Okumura, Peter Woo, Guang Yang, Jan Blumenkamp, and Zhan Gao for their hard work.</description><pubDate>Mon, 17 Mar 2025 00:00:00 GMT</pubDate></item><item><title>Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation</title><link>https://prorok-lab.com/publications/co-optimizing-environments-tro2025/</link><guid isPermaLink="true">https://prorok-lab.com/publications/co-optimizing-environments-tro2025/</guid><description>PAPER — Zhan Gao, Guang Yang, Amanda Prorok</description><pubDate>Sat, 01 Mar 2025 00:00:00 GMT</pubDate></item><item><title>We&apos;re hiring! Looking for a Research Assistant in Adaptive M</title><link>https://prorok-lab.com/posts/hiring-ra-natural-language/</link><guid isPermaLink="true">https://prorok-lab.com/posts/hiring-ra-natural-language/</guid><description>We&apos;re hiring! Looking for a Research Assistant in Adaptive Multi-Robot Mission Control via Natural Language. Develop robot policies that respond to high-level natural language commands at the intersection of LLMs, NLP, and multi-robot systems.</description><pubDate>Tue, 04 Feb 2025 00:00:00 GMT</pubDate></item><item><title>Research Assistant: Adaptive Multi-Robot Mission Control via Natural Language</title><link>https://prorok-lab.com/openings/phd-perception-aerial-swarms/</link><guid isPermaLink="true">https://prorok-lab.com/openings/phd-perception-aerial-swarms/</guid><description>Develop robot policies that respond to high-level natural language commands at the intersection of LLMs, NLP, and multi-robot systems. Collaborate with students and researchers on cutting-edge projects in a world-class research environment.</description><pubDate>Tue, 04 Feb 2025 00:00:00 GMT</pubDate></item><item><title>BenchMARL: Benchmarking Multi-Agent Reinforcement Learning</title><link>https://prorok-lab.com/publications/benchmarl-jmlr2024/</link><guid isPermaLink="true">https://prorok-lab.com/publications/benchmarl-jmlr2024/</guid><description>PAPER — Matteo Bettini, Amanda Prorok, Vincent Moens</description><pubDate>Thu, 19 Dec 2024 00:00:00 GMT</pubDate></item><item><title>Matteo Bettini alongside Vincent Moens from Meta&apos;s PyTorch t</title><link>https://prorok-lab.com/posts/neurips2024-benchmarl/</link><guid isPermaLink="true">https://prorok-lab.com/posts/neurips2024-benchmarl/</guid><description>Matteo Bettini alongside Vincent Moens from Meta&apos;s PyTorch team presented &apos;BenchMARL: Benchmarking Multi-Agent Reinforcement Learning&apos; at NeurIPS 2024 — a cutting-edge library to simplify and standardize benchmarking for MARL, enabling seamless mixing of algorithms, tasks, and models.</description><pubDate>Thu, 19 Dec 2024 00:00:00 GMT</pubDate></item><item><title>BenchMARL: Benchmarking Multi-Agent Reinforcement Learning</title><link>https://prorok-lab.com/talks/neurips2024-benchmarl/</link><guid isPermaLink="true">https://prorok-lab.com/talks/neurips2024-benchmarl/</guid><description>Conference · NeurIPS 2024</description><pubDate>Thu, 12 Dec 2024 00:00:00 GMT</pubDate></item><item><title>Provably Safe Online Multi-Agent Navigation in Unknown Environments</title><link>https://prorok-lab.com/publications/provably-safe-navigation-corl2024/</link><guid isPermaLink="true">https://prorok-lab.com/publications/provably-safe-navigation-corl2024/</guid><description>PAPER — Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok</description><pubDate>Wed, 06 Nov 2024 00:00:00 GMT</pubDate></item><item><title>CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications</title><link>https://prorok-lab.com/publications/covis-net-corl2024/</link><guid isPermaLink="true">https://prorok-lab.com/publications/covis-net-corl2024/</guid><description>PAPER — Jan Blumenkamp, Steven Morad, Jennifer Gielis, Amanda Prorok</description><pubDate>Fri, 18 Oct 2024 00:00:00 GMT</pubDate></item><item><title>CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications</title><link>https://prorok-lab.com/videos/covis-net-corl2024/</link><guid isPermaLink="true">https://prorok-lab.com/videos/covis-net-corl2024/</guid><description>Decentralized visual spatial foundation model enabling real-time pose estimation and bird&apos;s-eye-view representations for multi-robot systems, without needing camera overlap. Presented at CoRL 2024.</description><pubDate>Fri, 18 Oct 2024 00:00:00 GMT</pubDate></item><item><title>Excited to share our latest work: CoViS-Net, a decentralized</title><link>https://prorok-lab.com/posts/covis-net-corl2024/</link><guid isPermaLink="true">https://prorok-lab.com/posts/covis-net-corl2024/</guid><description>Excited to share our latest work: CoViS-Net, a decentralized visual spatial foundation model enabling real-time, platform-agnostic pose estimation and spatial comprehension for autonomous robots. Unlike classical methods, CoViS-Net provides accurate pose estimates and a local BEV without needing camera overlap.</description><pubDate>Wed, 16 Oct 2024 00:00:00 GMT</pubDate></item><item><title>Synthesizing Multi-Agent Policies with Graph Neural Networks: From Cooperative Robot Perception to Human-Led Fleet Control</title><link>https://prorok-lab.com/talks/eth-zurich-rss-seminar/</link><guid isPermaLink="true">https://prorok-lab.com/talks/eth-zurich-rss-seminar/</guid><description>Invited · ETH Zürich — Distinguished Seminar in Robotics, Systems and Control</description><pubDate>Fri, 04 Oct 2024 00:00:00 GMT</pubDate></item><item><title>Honored to deliver a lecture at the Distinguished Seminar in</title><link>https://prorok-lab.com/posts/eth-zurich-distinguished-seminar/</link><guid isPermaLink="true">https://prorok-lab.com/posts/eth-zurich-distinguished-seminar/</guid><description>Honored to deliver a lecture at the Distinguished Seminar in Robotics, Systems and Control at ETH Zurich — presenting on &apos;Synthesizing Multi-Agent Policies with Graph Neural Networks: From Cooperative Robot Perception to Human-Led Fleet Control&apos;.</description><pubDate>Thu, 03 Oct 2024 00:00:00 GMT</pubDate></item><item><title>Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning</title><link>https://prorok-lab.com/publications/behavioral-diversity-icml2024/</link><guid isPermaLink="true">https://prorok-lab.com/publications/behavioral-diversity-icml2024/</guid><description>PAPER — Matteo Bettini, Ryan Kortvelesy, Amanda Prorok</description><pubDate>Sun, 21 Jul 2024 00:00:00 GMT</pubDate></item><item><title>Future Proofing Robotics: Crafting Environments for Tomorrow&apos;s Machines</title><link>https://prorok-lab.com/talks/tedx-oxford-2024/</link><guid isPermaLink="true">https://prorok-lab.com/talks/tedx-oxford-2024/</guid><description>Invited · TEDxOxford</description><pubDate>Mon, 06 May 2024 00:00:00 GMT</pubDate></item><item><title>The Cambridge RoboMaster: An Agile Multi-Robot Research Platform</title><link>https://prorok-lab.com/publications/cambridge-robomaster-dars2024/</link><guid isPermaLink="true">https://prorok-lab.com/publications/cambridge-robomaster-dars2024/</guid><description>PAPER — Jan Blumenkamp, Steven Morad, Jennifer Gielis, Amanda Prorok</description><pubDate>Wed, 01 May 2024 00:00:00 GMT</pubDate></item><item><title>It&apos;s an absolute delight seeing PhD students progress to sen</title><link>https://prorok-lab.com/posts/steven-morad-deep-rl-course/</link><guid isPermaLink="true">https://prorok-lab.com/posts/steven-morad-deep-rl-course/</guid><description>It&apos;s an absolute delight seeing PhD students progress to senior teaching roles. Steven Morad delivered an excellent Deep Reinforcement Learning course to MPhil and Part III students at Cambridge — can&apos;t imagine a better way to introduce Deep RL and its practical intricacies.</description><pubDate>Mon, 26 Feb 2024 00:00:00 GMT</pubDate></item><item><title>SO(2)-Equivariant Downwash Models for Close Proximity Flight</title><link>https://prorok-lab.com/videos/so2-downwash/</link><guid isPermaLink="true">https://prorok-lab.com/videos/so2-downwash/</guid><description>Learning-based approach modelling downwash forces for multirotor formation flight, improving trajectory tracking by 36%. Published in IEEE RA-L 2023.</description><pubDate>Thu, 21 Dec 2023 00:00:00 GMT</pubDate></item><item><title>Generalised f-Mean Aggregation for Graph Neural Networks</title><link>https://prorok-lab.com/publications/f-mean-aggregation-neurips2023/</link><guid isPermaLink="true">https://prorok-lab.com/publications/f-mean-aggregation-neurips2023/</guid><description>PAPER — Ryan Kortvelesy, Steven Morad, Amanda Prorok</description><pubDate>Sun, 10 Dec 2023 00:00:00 GMT</pubDate></item><item><title>Reinforcement Learning with Fast and Forgetful Memory</title><link>https://prorok-lab.com/publications/fast-forgetful-memory-neurips2023/</link><guid isPermaLink="true">https://prorok-lab.com/publications/fast-forgetful-memory-neurips2023/</guid><description>PAPER — Steven Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok</description><pubDate>Sun, 10 Dec 2023 00:00:00 GMT</pubDate></item><item><title>Modelling Aggregate Downwash Forces for Dense Multirotor Flight</title><link>https://prorok-lab.com/videos/aggregate-downwash/</link><guid isPermaLink="true">https://prorok-lab.com/videos/aggregate-downwash/</guid><description>Experimental study of propeller downwash interaction patterns in close-proximity multirotor formations. Presented at ISER 2023.</description><pubDate>Tue, 07 Nov 2023 00:00:00 GMT</pubDate></item><item><title>Docking Multirotors in Close Proximity Using Learnt Downwash Models</title><link>https://prorok-lab.com/videos/docking-multirotors/</link><guid isPermaLink="true">https://prorok-lab.com/videos/docking-multirotors/</guid><description>Demonstrates successful physical docking between two airborne multirotors using learned downwash compensation. Presented at ISER 2023.</description><pubDate>Tue, 07 Nov 2023 00:00:00 GMT</pubDate></item><item><title>Check out our new NeurIPS 2023 paper — &apos;Reinforcement Learni</title><link>https://prorok-lab.com/posts/neurips2023-fast-forgetful-memory/</link><guid isPermaLink="true">https://prorok-lab.com/posts/neurips2023-fast-forgetful-memory/</guid><description>Check out our new NeurIPS 2023 paper — &apos;Reinforcement Learning with Fast and Forgetful Memory&apos;. A super-efficient plug-in replacement for RNNs/transformers that runs up to two orders of magnitude faster with linear space complexity. Sets new records on the POPGym benchmark.</description><pubDate>Mon, 16 Oct 2023 00:00:00 GMT</pubDate></item><item><title>See What the Robot Can&apos;t See: Learning Cooperative Perception for Visual Navigation</title><link>https://prorok-lab.com/videos/see-what-robot-cant-see/</link><guid isPermaLink="true">https://prorok-lab.com/videos/see-what-robot-cant-see/</guid><description>Graph Neural Network approach achieving up to 2.0x improvement in SPL through sensor-robot communication for cooperative visual navigation. Presented at IROS 2023.</description><pubDate>Mon, 31 Jul 2023 00:00:00 GMT</pubDate></item><item><title>Heterogeneous multi-robot reinforcement learning</title><link>https://prorok-lab.com/publications/heterogeneous-multi-robot-rl/</link><guid isPermaLink="true">https://prorok-lab.com/publications/heterogeneous-multi-robot-rl/</guid><description>PAPER — Matteo Bettini, Ajay Shankar, Amanda Prorok</description><pubDate>Fri, 05 May 2023 00:00:00 GMT</pubDate></item><item><title>Heterogeneous Multi-Robot Reinforcement Learning</title><link>https://prorok-lab.com/videos/heterogeneous-marl/</link><guid isPermaLink="true">https://prorok-lab.com/videos/heterogeneous-marl/</guid><description>HetGPPO framework enabling heterogeneous behaviours in multi-agent reinforcement learning with graph neural networks. Presented at AAMAS 2023.</description><pubDate>Fri, 05 May 2023 00:00:00 GMT</pubDate></item><item><title>POPGym: Benchmarking Partially Observable Reinforcement Learning</title><link>https://prorok-lab.com/publications/popgym-iclr2023/</link><guid isPermaLink="true">https://prorok-lab.com/publications/popgym-iclr2023/</guid><description>PAPER — Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok</description><pubDate>Mon, 01 May 2023 00:00:00 GMT</pubDate></item><item><title>VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning</title><link>https://prorok-lab.com/videos/vmas-simulator/</link><guid isPermaLink="true">https://prorok-lab.com/videos/vmas-simulator/</guid><description>PyTorch-based vectorized simulator achieving over 100x faster execution than comparable multi-agent frameworks. Presented at DARS 2022.</description><pubDate>Thu, 07 Jul 2022 00:00:00 GMT</pubDate></item><item><title>Explanation-Aware Experience Replay in Rule-Dense Environments</title><link>https://prorok-lab.com/videos/explanation-aware-replay/</link><guid isPermaLink="true">https://prorok-lab.com/videos/explanation-aware-replay/</guid><description>Reinforcement learning approach leveraging explanations for improved experience replay in environments with many rules. Published in IEEE RA-L 2022.</description><pubDate>Mon, 27 Jun 2022 00:00:00 GMT</pubDate></item><item><title>Learning Communication for Decentralized Coordination in Multi-Robot Systems</title><link>https://prorok-lab.com/talks/eth-zurich-autonomy-talks-2021/</link><guid isPermaLink="true">https://prorok-lab.com/talks/eth-zurich-autonomy-talks-2021/</guid><description>Invited · ETH Zürich — Autonomy Talks</description><pubDate>Mon, 06 Dec 2021 00:00:00 GMT</pubDate></item><item><title>A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies</title><link>https://prorok-lab.com/videos/gnn-real-world-framework/</link><guid isPermaLink="true">https://prorok-lab.com/videos/gnn-real-world-framework/</guid><description>ROS2-based framework demonstrating the first real-world deployment of graph neural network policies on decentralized multi-robot systems. Presented at ICRA 2022.</description><pubDate>Wed, 03 Nov 2021 00:00:00 GMT</pubDate></item><item><title>ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network</title><link>https://prorok-lab.com/videos/modgnn/</link><guid isPermaLink="true">https://prorok-lab.com/videos/modgnn/</guid><description>Generalised GNN framework improving performance and multi-agent task generalisation. Presented at ICRA 2021.</description><pubDate>Fri, 26 Mar 2021 00:00:00 GMT</pubDate></item></channel></rss>