Jie Luo

According to our database, Jie Luo authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments.

Jie Luo, Karine Miras, Carlo Longhi, Oliver Weissl, Ágoston E. Eiben

CoRR, 2024

Gait-Learning with Morphologically Evolving Robots Generated by L-System.

Jie Luo, Daan Zeeuwe, Ágoston E. Eiben

Proceedings of the International Conference on Electrical, 2024

Exploring Robot Morphology Spaces Through Breadth-First Search and Random Query.

Jie Luo, Carlo Longhi, Ágoston E. Eiben

Proceedings of the Advances in Information and Communication, 2024

2023

The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap.

Fuda van Diggelen, Eliseo Ferrante, Nihed Harrak, Jie Luo, Daan Zeeuwe, A. E. Eiben

IEEE Trans. Cogn. Dev. Syst., 2023

Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better.

Jie Luo, Karine Miras, Jakub M. Tomczak, Ágoston E. Eiben

CoRR, 2023

A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots.

Jie Luo, Carlo Longhi, Ágoston E. Eiben

CoRR, 2023

A Comparison of Controller Architectures and Learning Mechanisms for Arbitrary Robot Morphologies.

Jie Luo, Jakub M. Tomczak, Karine Miras, Ágoston E. Eiben

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

The Effects of Learning in Morphologically Evolving Robot Systems.

Jie Luo, Aart C. Stuurman, Jakub M. Tomczak, Jacintha Ellers, Ágoston E. Eiben

Frontiers Robotics AI, 2022

Collective motion emerging from evolving swarm controllers in different environments using gradient following task.

Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

CoRR, 2022

Environment induced emergence of collective behavior in evolving swarms with limited sensing.

Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

The Effects of Learning in Morphologically Evolving Robot Systems.

Jie Luo, Jakub M. Tomczak, Ágoston E. Eiben

CoRR, 2021