Papers
18
Total Citations
201
H-Index
8
About
Marga Marcos is a prominent robotics and automation researcher whose work spans parallel robot control, mobile manipulation, and intelligent manufacturing architectures. With a career rooted in advancing both the theoretical and applied dimensions of robotics, she has made significant contributions to the modeling and control of parallel robots, most notably the Stewart–Gough platform and the 3RRR parallel robot. Her early research pioneered the use of redundant sensor data and dynamic modeling to enhance control precision and reduce errors in these complex mechanisms, earning her foundational recognition in the field. More recently, Marcos has turned her expertise toward autonomous systems and Industry 4.0, developing ROS-based and agent-driven architectures for autonomous transport vehicles, smart manufacturing, and agricultural robotics. Her highly cited 2021 work on mobile manipulators for greenhouse pest inspection — garnering 48 citations — exemplifies her commitment to sustainable, real-world robotic applications. Her contributions to Asset Administration Shell integration and fog computing architectures further demonstrate a forward-looking vision for interoperable industrial systems. Collectively, her publications reflect a researcher who bridges rigorous mechanical modeling with cutting-edge software frameworks, making her work invaluable to students and engineers navigating the evolving landscape of intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Redundant sensor based control of the 3RRR parallel robot30 citations · 2012
- 4
- 5A redundant dynamic model of parallel robots for model-based control13 citations · 2012
- 6
- 7Control of parallel robots using passive sensor data9 citations · 2008
- 8Flexible Container Platform Architecture for Industrial Robot Control8 citations · 2018
- 9
- 10