A dynamical trap made of target-tracking chasers
Guo-Jie Jason Gao
TL;DR
The paper introduces a discrete-element-method model to trap a fleeing target using a swarm of chasers that apply velocity- and position-based tracking forces. A four-group cross-domain arrangement successfully captures the target by forming a confinement around a repulsive-energy minimum, whereas a single-group approach fails due to force imbalance. The velocity-tracking component is essential for tight pursuit, while the target-prediction (TDP) position guidance mainly improves capture efficiency. The findings suggest a non-lethal, UAV-assisted wildlife management strategy and advance understanding of pursuit-evasion dynamics in multi-agent systems.
Abstract
We propose a dynamical trapping system composed of multiple chasers subject to target-tracking forces utilizing the velocity and position information of a single escaping target. To successfully capture the target, dividing chasers into multiple groups while each group approaching its assigned destination in the proper vicinity of the target is essential. Moving direction synchronization between the target and its chasers is crucial to the capturing process, while guiding chasers to the predicted position of the target in future only improves the efficiency of capture but is not indispensable. Potential applications of our trapping system include capturing live animals such as bears invading a human residential area.
