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Learning Modular Robotic Control via Reinforcement Learning using Attention based Global State Prediction
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Decentralized Multi-Agent Reinforcement Learning for Collective Transport
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Formation-centric software interface
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Coarse Exogenous Fault Detection in Multi-Robot Systems using Variational Autoencoders and Normalizing Flows
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Deep Reinforcement Learning for Intelligent Frontier Ranking in Search-and-rescue Scenarios
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Improving Human Performance in Multi-Human Multi-Robot Interaction
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Communication Algorithms for Spatio-Temporal Cooperation in Multi-Robot Systems
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Robotic Construction Using Intelligent Scaffolding
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Multi-Robot Task Allocation and Scheduling with Spatio-Temporal and Energy Constraints
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Decentralized Approach to SLAM using Computationally Limited Robots
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