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 …

Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

Evolutionary robotics (ER) aims at automatically designing robots or controllers of robots
without having to describe their inner workings. To reach this goal, ER researchers primarily …

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

Collaborative robotics is a possible solution to the problem of musculoskeletal disorders
(MSDs) in industry, but efficiently designing such robots remains an issue because …

Damage recovery is critical for autonomous robots that need to operate for a long time
without assistance. Most current methods are complex and costly because they require …

Evolutionary robotics using real hardware has been almost exclusively restricted to evolving
robot controllers, but the technology for evolvable morphologies is advancing quickly. We …

For robots to handle the numerous factors that can affect them in the real world, they must
adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these …

Applications of large-scale mobile multirobot systems can be beneficial over monolithic
robots because of higher potential for robustness and scalability. Developing controllers for …