Felipe Garcia Lopez
Fraunhofer Institute for Manufacturing Engineering and Automation
Papers
5
Total Citations
57
H-Index
4
About
Felipe Garcia Lopez is a robotics researcher whose work centers on mobile service robots, autonomous navigation, and multi-agent systems for industrial environments. His most significant contributions lie in developing intelligent path planning and cooperative navigation frameworks that enable multiple robots to operate safely and efficiently in dynamic industrial settings. Garcia Lopez's most cited work, "A Predictive Online Path Planning and Optimization Approach for Cooperative Mobile Service Robot Navigation" (2017, 25 citations), introduced cooperative trajectory optimization techniques that generate smooth, collision-free paths for multi-robot systems—a critical advancement for real-world industrial deployment. Complementing this, his cloud-based navigation architecture (2017, 19 citations) demonstrated how offloading mapping, localization, and planning tasks to cloud servers can dramatically improve flexibility and cost-efficiency in autonomous guided vehicle systems. His research also addresses long-term cooperative SLAM (Simultaneous Localization and Mapping), ensuring robots maintain accurate, up-to-date environmental maps over extended operational periods. Additional contributions span hybrid localization strategies combining grid maps with natural landmarks, and model-driven engineering approaches that simplify the deployment of service robots for non-expert users. With over 57 cumulative citations, Garcia Lopez has made meaningful strides in bridging theoretical robotics research with practical industrial application.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5