Papers
10
Total Citations
96
H-Index
6
About
Pedro Mariano is a leading researcher at the intersection of evolutionary robotics, cooperative coevolution, and bio-hybrid systems. His work focuses on designing algorithms and controllers for heterogeneous multirobot teams, where robots differ in morphology or behavior. Mariano’s major contributions include the development of Hyb-CCEA, a cooperative coevolutionary algorithm that dynamically controls team heterogeneity, enabling the evolution of genetically diverse multiagent systems. He has also pioneered the systematic derivation of behavior characterizations for novelty search in evolutionary robotics, a key technique for promoting behavioral diversity. His research extends to real-world applications, including the control of physically heterogeneous robot teams and the evolution of robot controllers integrated into animal societies—bio-hybrid systems where robots are accepted as conspecifics to modulate self-organization. With over 90 citations across his top ten papers, Mariano’s work has significantly advanced the fields of evolutionary computation and robotics. Notably, his studies on bio-hybrid societies represent a groundbreaking step toward seamless human-robot-animal interaction, with implications for environmental monitoring and collective behavior research.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms20 citations · 2017
- 2
- 3Cooperative Coevolution of Control for a Real Multirobot System13 citations · 2016
- 4
- 5Evolving robot controllers for a bio-hybrid system7 citations · 2018
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- 7
- 8Cooperative coevolution of morphologically heterogeneous robots5 citations · 2015
- 9Cooperative Coevolution of Morphologically Heterogeneous Robots5 citations · 2015
- 10