Nicolas Coucke

Université Libre de Bruxelles

Papers

3

Total Citations

9

H-Index

2

About

Nicolas Coucke is a pioneering researcher at the intersection of robotics, artificial intelligence, and collective behavior. His work focuses on understanding how embodied agents—from robots to humans—can achieve sophisticated group coordination and social cognition through neural and behavioral mechanisms. Coucke’s major contributions include developing frameworks for building social cognition among robots by learning from human interactions, as demonstrated in his highly cited 2023 paper (6 citations), which proposes moving beyond simple swarm behaviors toward more complex, socially intelligent coordination. He also created HuGoS, a multi-user virtual environment for studying human–human swarm intelligence (2020), offering a novel platform for exploring collective decision-making in mixed human-robot systems. Most recently, his 2025 work on collective decision making by embodied neural agents (1 citation) integrates neural dynamics with sensorimotor coordination, bridging gaps between neuroscience and swarm robotics. Though early in his career, Coucke’s interdisciplinary approach—spanning robotics, cognitive science, and swarm intelligence—positions him as a rising voice in the quest to design autonomous systems that can think and act collectively, with implications for everything from search-and-rescue teams to distributed AI.

Research Focus

Key Achievements

2
H-Index
3
Papers
9
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Learning from humans to build social cognition among robots
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Université Libre de Bruxelles

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago