Introduction to Learning Multi Robot Decentralized Macro
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ICRA2020: Warehouse Tool Delivery Task with Single Human. Presented at ICRA2023 in London, UK. Abstract: Cooperative Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions Autonomy Talks - 06/12/2021 Speaker: Prof. Amanda Prorok, University of Cambridge Title: Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention Accepted for presentation at ICRA 2018. Paper: Project:
Scalable Multi-Robot Collaboration with LLMs: Centralized or Decentralized Systems? (ICRA 2024) ICRA 2017 Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Lopez, Christopher Amato, Miao Liu, Jonathan Patrick ...
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Introduction to Multi-Agent Reinforcement Learning
Autonomy Talks - Amanda Prorok: Learning Communication for Coordination in Multi-Robot Systems
DeepIG: Multi-Robot Information Gathering with Deep Reinforcement Learning
Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention
Decentralized Multi-Robot Task Allocation with Time Window and Ordering Constraints
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Reinforcement Learning Driven Multi-Robot Exp. via Explicit Comm. and Density-Based Frontier Search
Scalable Multi-Robot Collaboration with LLMs: Centralized or Decentralized Systems? (ICRA 2024)
Semantic-level Decentralized Mult-Robot Decision-Making using Probabilistic Macro-Observations
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Last Updated: June 11, 2026
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