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The Power of Teams that Disagree: Team Formation in Large Action Spaces.

, , , , and . COIN@AAMAS/PRICAI, volume 9372 of Lecture Notes in Computer Science, page 213-232. Springer, (2014)

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A multi agent systems for design simulation framework: experiments with virtual physical social feedback for architecture., , , and . SpringSim (SimAUD), page 205-212. SCS/ACM, (2015)A coordination mechanism for swarm navigation: experiments and analysis., and . AAMAS (3), page 1203-1206. IFAAMAS, (2008)Traffic control for a swarm of robots: Avoiding group conflicts., and . IROS, page 1949-1954. IEEE, (2009)Every team deserves a second chance: an extended study on predicting team performance., , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area., , and . Robotics Auton. Syst., (2023)Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach., , , , and . AAMAS, page 1019-1027. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach., , , , , and . BMVC, page 977. BMVA Press, (2022)On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork., , , , , and . AAMAS, page 140-142. ACM, (2023)Water level identification with laser sensors, inertial units, and machine learning., , , , , , and . Eng. Appl. Artif. Intell., 127 (Part A): 107235 (January 2024)No robot left behind: Coordination to overcome local minima in swarm navigation., and . ICRA, page 1904-1909. IEEE, (2008)