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 …

In the near future, our streets will be populated by myriads of autonomous self-driving
vehicles to serve our diverse mobility needs. This will raise the need to coordinate their …

Biological organisms achieve robust high-level behaviours by combining and coordinating
stochastic low-level components,–. By contrast, most current robotic systems comprise either …

Morphogenesis allows millions of cells to self-organize into intricate structures with a wide
variety of functional shapes during embryonic development. This process emerges from …

Nature is a neverending source of inspiration for technology. Quantum physics suggests
applications toward quantum computing. Swarms' self-organization leads to robotic swarm …

For a 3-D underwater workspace with a variable ocean current, an integrated multiple
autonomous underwater vehicle (AUV) dynamic task assignment and path planning …

Swarm robotics is a new approach to the coordination of large numbers of relatively simple
robots. The approach takes its inspiration from the system-level functioning of social insects …

Robots have the potential to display a higher degree of lifetime morphological adaptation
than natural organisms. By adopting a modular approach, robots with different capabilities …

Pervasive and mobile computing call for suitable middleware and programming models to
support the activities of complex software systems in dynamic network environments. In this …

One of the essential benefits of swarm robotic systems is redundancy. In case one robot
breaks down, another robot can take steps to repair the failed robot or take over the failed …