Search Results for author:
Found 5 papers, 2 papers with code
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
This is supported by phenotypic plasticity: individuals sharing the same genotype that is expressed differently for different classes of individuals, each specializing in one task.
One-shot Learning for Autonomous Aerial Manipulation
This paper is concerned with learning transferable contact models for aerial manipulation tasks.
Environment induced emergence of collective behaviour in evolving swarms with limited sensing
Designing controllers for robot swarms is challenging, because human developers have typically no good understanding of the link between the details of a controller that governs individual robots and the swarm behavior that is an indirect result of the interactions between swarm members and the environment.
Comparing lifetime learning methods for morphologically evolving robots
Evolving morphologies and controllers of robots simultaneously leads to a problem: Even if the parents have well-matching bodies and brains, the stochastic recombination can break this match and cause a body-brain mismatch in their offspring.
Heritability in Morphological Robot Evolution
In the field of evolutionary robotics, choosing the correct encoding is very complicated, especially when robots evolve both behaviours and morphologies at the same time.
