共 50 条
- [1] A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (04): : 1537 - 1548
- [2] A Distributed Deep Learning Approach for A Team of Unmanned Aerial Vehicles for Wildfire Tracking and Coverage 2022 SIXTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING, IRC, 2022, : 312 - 319
- [3] Learning-based Wildfire Tracking with Unmanned Aerial Vehicles 2022 AMERICAN CONTROL CONFERENCE, ACC, 2022, : 3212 - 3217
- [4] Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (04): : 7580 - 7587
- [5] Distributed Tracking of Unmanned Aerial Vehicles with Switching Interactions 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1, 2016, : 46 - 49
- [6] Towards Proactive Decentralized Adaptation of Unmanned Aerial Vehicles for Wildfire Tracking PROCEEDINGS OF THE 2024 IEEE/ACM 19TH SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS, SEAMS 2024, 2024, : 56 - 62
- [8] Framework for Biological Control with Unmanned Aerial Vehicles 2022 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS), 2022 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), AND 2022 WORKSHOP ON ROBOTICS IN EDUCATION (WRE), 2022, : 25 - 30