Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …

Self-organised emergent patterns can be widely seen in natural and man-made complex
systems generated by interactions among local components without external or global …

Multi-Robot Systems (MRSs) show significant advantages to deal with complex tasks
efficiently. However, the system complexity inevitably enlarges the attack surface and adds …

For accomplishing a variety of challenging tasks, multi-robot systems perform better than
single robots because they have certain properties that a single robot lacks. Target …

Embryonic development of multi-cellular organisms is governed by gene regulatory
networks (GRNs), which are a collection of genes that interact with one another and with …

We present VG-Swarm, a practical and effective method for aerial robots dynamic
encirclement, which consists of a vision-based gene regulatory network (V-GRN) and a …

A significant limitation of most previous target trap** algorithms for swarm robots is that the
target shape needs to be predefined and only some regular Euclidean shapes can be …

This study proposes a method for uniformly revolving swarm robots to entrap multiple
targets, which is based on a gene regulatory network, an adaptive decision mechanism, and …

Inspired by the morphogenesis of biological organisms, gene regulatory network-based
methods have been used in complex pattern formation of swarm robotic systems. In this …

Quadrotor unmanned aerial vehicles (UAVs) often encounter intricate environmental and
dynamic limitations in real-world applications, underscoring the significance of proficient …