6 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…
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…
Optimal Spatial-Temporal Triangulation for Bearing-Only Cooperative Motion Estimation
Canlun Zheng, Yize Mi, Hanqing Guo +3
Vision-based cooperative motion estimation is an important problem for many multi-robot systems such as cooperative aerial target pursuit. This problem can be formulated as bearing…
Motion-guided small MAV detection in complex and non-planar scenes
Hanqing Guo, Canlun Zheng, Shiyu Zhao
In recent years, there has been a growing interest in the visual detection of micro aerial vehicles (MAVs) due to its importance in numerous applications. However, the existing met…