Rodrigo Moreno

Rodrigo Moreno is an Assistant Professor at the IT University of Copenhagen, where he joined in 2020. His research focuses on applying AI and machine learning to robotics, with special emphasis on evolutionary robotics, modular robots, and lab automation, particularly for battery chemistry synthesis processes in the BIG-MAP project.

His educational background includes a PhD in Systems and Computer Engineering (2019), an MEng in Industrial Automation (2010), and a BSc in Mechatronics Engineering (2008), all from Universidad Nacional de Colombia. His research interests span Artificial Intelligence, Machine Learning, Robotics, Evolutionary Robotics, Modular Robots, Lab Automation, Battery Chemistry Synthesis, and Emergence.

His recent publications demonstrate significant work in modular robot evolution, with experiments varying base lengths and analyzing fitness, number of modules, and structural properties. His research employs evolutionary algorithms to optimize robot morphology and control, with applications extending to laboratory automation for battery chemistry. The BIG-MAP and EMERGE projects represent his current major research directions, bridging robotics with chemical synthesis automation.

• Evolution of modular robots with variable morphologies
• CPG parameter optimization for robot locomotion
• Statistical analysis of evolutionary outcomes
• Lab automation for battery chemistry synthesis

His GitHub repositories show active development of research code for evolutionary robotics experiments, with a focus on quantitative analysis and visualization of evolutionary processes. His work demonstrates a strong integration of theoretical evolutionary computation with practical robotics applications.