Swarm intelligence principles have been widely studied and applied to a number of different
tasks where a group of autonomous robots is used to solve a problem with a distributed …

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 …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

The ability of individual animals to create functional structures by joining together is rare and
confined to the social insects. Army ants (Eciton) form collective assemblages out of their …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

Many machine learning approaches in robotics, based on reinforcement learning, inverse
optimal control or direct policy learning, critically rely on robot simulators. This paper …

With increasing demand on reliable robotic platforms that can alleviate the burden of daily
painstaking tasks, researchers have focused their effort towards develo** robotic …

Novelty search is a recent artificial evolution technique that challenges traditional
evolutionary approaches. In novelty search, solutions are rewarded based on their novelty …

Modular self‐reconfigurable robots present wide and unique solutions for growing demands
in the domains of space exploration, automation, consumer products, and so forth. The …