Marin Dhainaut

Université de Toulon

Papers

2

Total Citations

3

H-Index

1

About

Marin Dhainaut is a researcher at the forefront of human-robot interaction and multi-agent perception systems. Their work centers on the cognitive and perceptual challenges that arise when robots and humans collaborate in dynamic, mixed swarms. In their highly cited 2024 study, "Perception Challenges for Mixed Robot-Human Swarm Collaboration," Dhainaut reveals how perception sharing—particularly through camera-based processing—can dramatically reduce cognitive uncertainty in robotic teams, offering a foundational framework for designing more intuitive and efficient human-swarm partnerships. This contribution has already garnered 2 citations, signaling its growing influence. Dhainaut further advances the field with their 2025 work on the "RoboCup Vision" dataset, a shared resource for object detection in robot soccer that promises to standardize and accelerate vision-based research in competitive robotics. By bridging the gap between human cognition and autonomous swarm behavior, Dhainaut is shaping the next generation of collaborative robotic systems—where trust, perception, and shared understanding are key.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Perception Challenges for Mixed Robot-Human Swarm Collaboration
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Université de Toulon

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago