Papers
16
Total Citations
102
H-Index
7
About
David Andreu is a leading researcher in robotics, specializing in underwater vehicle systems, teleoperation over IP networks, and control architecture design. His work addresses the critical challenges of managing remote robotic systems under variable network delays, a problem he tackled through innovative control schemes based on the Smith predictor principle, as demonstrated in his highly cited 2004 paper on the virtual PUMA robot. Andreu’s major contributions include the development of the Thetis distributed hybrid simulator for heterogeneous vehicles and the Taipan autonomous underwater vehicle (AUV), where he pioneered a modular, robust control architecture for contextual task management. His research has garnered over 80 citations, with his most-cited works exploring redundant actuation for underwater vehicles and secure decentralized control strategies. Notably, Andreu introduced the ContrACT software environment, a tool enhancing modularity and reusability in robotic software development, and his work on event-based control has been pivotal for autonomous robot controllers. His achievements underscore a career dedicated to advancing real-time, networked robotic systems, making him a key figure in underwater robotics and teleoperation.
Research Focus
Key Achievements
Top Papers
- 1Redundant actuation system of an underwater vehicle14 citations · 2018
- 2Teleoperations over an IP network : virtual PUMA robot11 citations · 2004
- 3Internet enhanced teleoperation toward a remote supervised delay regulator10 citations · 2004
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- 6ContrACT: a software environment for developing control architecture.7 citations · 2011
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- 8Remote secure decentralized control strategy for mobile robots7 citations · 2005
- 9Events as a key of an autonomous robot controller5 citations · 2002
- 10Overview of a New Robot Controller Development Methodology5 citations · 2006