Tiago Rodrigues

About

Tiago Rodrigues is a pioneering researcher at the intersection of swarm robotics, evolutionary computation, and autonomous systems, with a recent foray into AI-driven laboratory automation. His most influential work, "Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots" (126 citations), represents a landmark achievement in demonstrating that evolutionary robotics techniques can successfully transfer simulated behaviors to physical robot swarms—a critical step toward real-world deployment. Rodrigues has fundamentally advanced marine environmental monitoring by proposing swarm robotics systems as scalable, robust alternatives to traditional static sensor networks or single-robot platforms. He developed JBotEvolver, an open-source simulation platform (30+ citations) that has become an essential tool for research and education in evolutionary robotics, enabling others to synthesize and test collective behaviors. His work systematically addresses a core challenge in swarm robotics: overcoming limited onboard sensing through local communication and situated collective sensing. More recently, Rodrigues has expanded into AI-driven scientific discovery, with his 2023 paper on large language models directing automated chemistry laboratories signaling a bold new direction. His research portfolio demonstrates a rare ability to bridge simulation and reality, advancing both fundamental swarm intelligence principles and practical applications in environmental monitoring.

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
   Application of swarm robotics systems to marine environmental monitoring

   67 citations · 2016
3. 3
   JBotEvolver: A Versatile Simulation Program for Evolutionary Robotics

   30 citations · 2014
4. 4
   JBotEvolver: A Versatile Simulation Program for Evolutionary Robotics

   17 citations · 2014
5. 5
   Design and development of an inexpensive aquatic swarm robotics system

   17 citations · 2016
6. 6
   Machine learning for next-generation nanotechnology in healthcare

   17 citations · 2021
7. 7
   Overcoming Limited Onboard Sensing in Swarm Robotics Through Local Communication

   8 citations · 2015
8. 8
   Beyond Onboard Sensors in Robotic Swarms - Local Collective Sensing through Situated Communication

   6 citations · 2015
9. 9
   Large language models direct automated chemistry laboratory

   5 citations · 2023
10. 10
    Unleashing the Potential of Evolutionary Swarm Robotics in the Real World

    3 citations · 2016

Key Collaborators

Contact & Links