About

Daniel Campos is a leading roboticist whose work spans the rugged terrain of mountain vineyards to the challenging waters of the Atlantic. His research focuses on developing autonomous systems for precision agriculture, offshore inspection, and human-robot interaction. Campos made early contributions to agricultural robotics, designing cost-effective, reliable monitoring robots for steep-slope vineyards, addressing the dual challenges of harsh terrain and unreliable GPS localization. His work on the Robot@Factory competition advanced omnidirectional robot navigation in industrial settings, while his later projects, such as the ATLANTIS platform and the Nautilus autonomous surface vehicle, push the boundaries of maritime robotics for offshore wind farm inspection and maintenance. With over 200 citations across his most-cited papers, Campos has demonstrated significant impact, particularly through his foundational work on vineyard monitoring (53 and 47 citations) and his leadership in the DIIUS project, which enhances distributed perception for aquatic structures. His achievements include establishing the ATLANTIS Coastal Testbed, a near-real environment for validating robotic technologies, and developing gesture-based human-robot interaction systems for service robots. Campos’s work is driving the transition from lab prototypes to real-world robotic solutions.

Research Focus

Key Achievements

8
H-Index
13
Papers
228
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Towards a Reliable Robot for Steep Slope Vineyards Monitoring
53 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 67
🏛 Institutions: Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, INESC TEC, Universidade do Porto, Institute for Systems Engineering and Computers, Fundação para a Ciência e Tecnologia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago