9 papers
Non-Equilibrium MAV-Capture-MAV via Time-Optimal Planning and Reinforcement Learning
Canlun Zheng, Zhanyu Guo, Zikang Yin +3
The capture of flying MAVs (micro aerial vehicles) has garnered increasing research attention due to its intriguing challenges and promising applications. Despite recent advancemen…
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning
Zikang Yin, Canlun Zheng, Shiliang Guo +2
Although acrobatic flight control has been studied extensively, one key limitation of the existing methods is that they are usually restricted to specific maneuver tasks and cannot…
GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models
Wenkang Ji, Huaben Chen, Mingyang Chen +6
The development of control policies for multi-robot systems traditionally follows a complex and labor-intensive process, often lacking the flexibility to adapt to dynamic tasks. Th…
YOLOMG: Vision-based Drone-to-Drone Detection with Appearance and Pixel-Level Motion Fusion
Hanqing Guo, Xiuxiu Lin, Shiyu Zhao
Vision-based drone-to-drone detection has attracted increasing attention due to its importance in numerous tasks such as vision-based swarming, aerial see-and-avoid, and malicious…
Vision-Based Cooperative MAV-Capturing-MAV
Canlun Zheng, Yize Mi, Hanqing Guo +2
MAV-capturing-MAV (MCM) is one of the few effective methods for physically countering misused or malicious MAVs.This paper presents a vision-based cooperative MCM system, where mul…
A Cooperative Bearing-Rate Approach for Observability-Enhanced Target Motion Estimation
Canlun Zheng, Hanqing Guo, Shiyu Zhao
Vision-based target motion estimation is a fundamental problem in many robotic tasks. The existing methods have the limitation of low observability and, hence, face challenges in t…