Publications

Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli (2024). Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. In IROS 2024.

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Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli (2024). Learning to Generate All Feasible Actions. In IEEE Access.

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Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo (2024). Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning. IEEE Transactions on Computers.

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Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli (2023). Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. arXiv preprint arXiv:2309.03157.

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Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo (2022). Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. In IROS.

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Or D. Dantsker, Mirco Theile, Marco Caccamo (2022). A Cyber-Physical Prototyping and Testing Framework to Enable the Rapid Development of UAVs. In Aerospace.

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Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo (2021). UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. In ICAR.

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Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert (2021). Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. In OJ-COMS.

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Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo (2021). Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. arXiv preprint arXiv:2107.09973.

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Or D. Dantsker, Mirco Theile, Marco Caccamo (2021). Long Endurance Flight Testing Results for the UIUC-TUM Solar Flyer. AIAA AVIATION 2021 FORUM.

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Or D. Dantsker, Mirco Theile, Marco Caccamo, Seongyong Hong (2021). Integrated Power Simulation for a Solar-Powered, Computationally-Intensive Unmanned Aircraft. AIAA Propulsion and Energy 2021 Forum.

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Jonathan Ponniah, Mirco Theile, Or D. Dantsker, Marco Caccamo (2021). Autonomous hierarchical multi-level clustering for multi-uav systems. AIAA Scitech 2021 Forum.

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Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert (2020). UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. In GLOBECOM.

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Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo (2020). UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. In IROS.

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Michaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna (2020). Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. In RTAS.

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Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo, Simon Yu (2020). uavAP: A Modular Autopilot Framework for UAVs. AIAA AVIATION 2020 FORUM.

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Or D. Dantsker, Mirco Theile, Marco Caccamo (2020). Integrated power modeling for a solar-powered, computationally-intensive unmanned aircraft. 2020 AIAA/IEEE Electric Aircraft Technologies Symposium (EATS).

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Or D. Dantsker, Mirco Theile, Marco Caccamo, Simon Yu, Moiz Vahora, Renato Mancuso (2020). Continued development and flight testing of a long-endurance solar-powered unmanned aircraft: Uiuc-tum solar flyer. AIAA Scitech 2020 Forum.

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Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo (2019). Trajectory estimation for geo-fencing applications on small-size fixed-wing UAVs. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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Or D. Dantsker, Mirco Theile, Marco Caccamo (2018). A High-Fidelity, Low-Order Propulsion Power Model for Fixed-Wing Electric Unmanned Aircraft. In EATS.

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Or D. Dantsker, Mirco Theile, Marco Caccamo, Renato Mancuso (2018). Design, Development, and Initial Testing of a Computationally-Intensive, Long-Endurance Solar-Powered Unmanned Aircraft. In AAC.

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Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo (2018). uavee: A modular, power-aware emulation environment for rapid prototyping and testing of uavs. 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

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