Known as an artificial intelligence subarea, Swarm Robotics is a developing study field
investigating bio-inspired collaborative control approaches and integrates a huge collection …

One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

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 …

The study investigates the impact of weblog use on individual learning in a university
environment. Weblogs are a relatively new knowledge sharing technology, which enables …

The evolution of task-oriented control for robots with complex locomotor systems is currently
out of reach for traditional evolutionary computation techniques, as the coordination of a …

Automated environmental monitoring in marine environments is currently carried out either
by small-scale robotic systems, composed of one or few robots, or static sensor networks. In …

Online evolution gives robots the capacity to learn new tasks and to adapt to changing
environmental conditions during task execution. Previous approaches to online evolution of …

Locating odour sources with robots is an interesting problem with many important real-world
applications. In the past years, the robotics community has adapted several bio-inspired …

Maritime tasks, such as surveillance and patrolling, aquaculture inspection, and wildlife
monitoring, typically require large operational crews and expensive equipment. Only …

We propose an approach to the synthesis of hierarchical control systems comprising both
evolved and manually programmed control for autonomous robots. We recursively divide the …