newsNature Machine IntelligenceTrust 88 · LabPublished 1mo agoLive · 1mo ago
Autonomous navigation of intelligent microrobotic swarms in unknown environments
Nature Machine Intelligence, Published online: 22 June 2026; doi:10.1038/s42256-026-01252-6 An, Luo, Zhang and colleagues present Turbo, a transformer-based reinforcement learning framework that enables simulation-to-real transfer for autonomous navigation and obstacle avoidance in physical microrobotic swarms operating in unknown environments.
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- PossiblePossibly related (embedding) · 47%mcmonkeyprojects/SwarmUI →
- PossiblePossibly related (embedding) · 46%Learning to Throw Objects Safely in Multi-Obstacle Environments →
- PossiblePossibly related (embedding) · 59%Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search →
- PossiblePossibly related (embedding) · 47%Directional Constraints for Efficient Exploration in Safe Reinforcement Learning →
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- PossiblePossibly related (embedding) · 46%Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems →
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paperCompact Latent Coordination for Autonomous Vehicles at Unsignalized IntersectionspaperUnveiling Complex Collective Behaviors from Simple Rewardsrepojaimasih05-commits/swarm-foraging-qlearnrepomcmonkeyprojects/SwarmUIrepoprofessorpalmer/PuppetmasterpaperLearning to Throw Objects Safely in Multi-Obstacle EnvironmentspaperPhysics-enhanced reinforcement learning for real-time optimal control of dynamical systemspaperTransformer-Guided Swarm Intelligence for Frugal Neural Architecture SearchpaperDirectional Constraints for Efficient Exploration in Safe Reinforcement Learning
