About

Josep Amat is a pioneering robotics researcher whose work spans surgical robotics, autonomous underwater vehicles, human-robot interaction, and cooperative multi-robot systems. Over more than two decades, his research has consistently pushed the boundaries of intelligent robotic control and real-world applicability across diverse and challenging environments. Among his most influential contributions is his 2002 work on automatic robotic guidance for laparoscopic surgery, which garnered 87 citations and introduced computer vision-driven camera control strategies that significantly advanced the field of surgical assistance robotics. Complementing this, his 2013 paper on haptic feedback in surgical robotics highlights the enduring complexity of delivering tactile sensation in operating room settings. His 1999 survey on control architectures for autonomous underwater vehicles, cited 63 times, became a key reference in the AUV community, while the GARBI low-cost underwater vehicle demonstrated his commitment to accessible, practical engineering solutions. Amat also made notable strides in cooperative robotics, with papers from 1997 and 1998 exploring how low-cost robot teams could collaboratively map unknown environments. His later work on sensitive bumper skins and multi-robot teleoperation reflects a sustained interest in safe, responsive human-robot collaboration. Collectively, his portfolio represents a remarkable breadth of impact in both theoretical and applied robotics research.

Research Focus

Key Achievements

12
H-Index
39
Papers
476
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Automatic guidance of an assistant robot in laparoscopic surgery
87 citations · 2002
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Universitat Politècnica de Catalunya, Carnegie Mellon University, Institut de Robòtica i Informàtica Industrial

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