Jorge Gomes

About

Jorge Gomes is a pioneering researcher at the intersection of evolutionary robotics, swarm intelligence, and autonomous systems, whose work has significantly advanced our understanding of how large groups of robots can self-organize and adapt to complex real-world tasks. His most influential contribution, "Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots" (2016, 126 citations), broke new ground by demonstrating that evolutionary techniques could produce robust swarm behaviors beyond the simulation environment, bridging a critical gap in the field. Complementing this, his work on novelty search — particularly "Evolution of swarm robotics systems with novelty search" (119 citations) — showed how encouraging behavioral diversity, rather than direct optimization, can yield more effective and creative robotic controllers. Gomes has also made meaningful contributions to marine environmental monitoring through swarm-based solutions, and to repertoire-based locomotion control for complex robotic systems. His development of generic behavior similarity measures and systematic behavior characterization methods has reduced the manual effort required in evolutionary robotics experiments, making the field more accessible. With over 500 citations across his key works, Gomes stands as a highly impactful voice shaping the future of intelligent, self-organizing robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots

   126 citations · 2016
2. 2
   Evolution of swarm robotics systems with novelty search

   119 citations · 2013
3. 3
   Application of swarm robotics systems to marine environmental monitoring

   67 citations · 2016
4. 4
   Evolution of Repertoire-Based Control for Robots With Complex Locomotor Systems

   65 citations · 2017
5. 5
   Generic behaviour similarity measures for evolutionary swarm robotics

   47 citations · 2013
6. 6
   Progressive Minimal Criteria Novelty Search

   23 citations · 2012
7. 7
   Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms

   20 citations · 2017
8. 8
   Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task

   19 citations · 2016
9. 9
   EvoRBC

   19 citations · 2016
10. 10
    Systematic Derivation of Behaviour Characterisations in Evolutionary Robotics

    19 citations · 2014

Key Collaborators

Contact & Links