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AIM Faculty & Staff
Michael Otte
Latest Papers
A Heuristic-Guided Dynamical Multi-Rover Motion Planning Framework for Planetary Surface Missions
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IEEE Robotics and Automation Letters
UMD Author(s): Michael Otte
Bidirectional Sampling-Based Motion Planning Without Two-Point Boundary Value Solution
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IEEE Transactions on Robotics
UMD Author(s): Michael Otte
Distributed Task Allocation Algorithms for Multi-Agent Systems With Very Low Communication
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IEEE Access
UMD Author(s): Michael Otte
Path-Based Sensors: Paths as Sensors, Bayesian Updates, and Shannon Information Gathering
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IEEE Transactions on Automation Science and Engineering
UMD Author(s): Michael Otte
Experimental Comparison of Decentralized Task Allocation Algorithms Under Imperfect Communication
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IEEE Robotics and Automation Letters
UMD Author(s): Michael Otte
Auctions for multi-robot task allocation in communication limited environments
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Autonomous Robots
UMD Author(s): Michael Otte
Metareasoning Structures, Problems, and Modes for Multiagent Systems: A Survey
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IEEE Access
UMD Author(s): Michael Otte
LSwarm: Efficient Collision Avoidance for Large Swarms With Coverage Constraints in Complex Urban Scenes
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IEEE Robotics and Automation Letters
UMD Author(s): Dinesh Manocha, Michael Otte