Papers
2
Total Citations
12
H-Index
2
About
Javier Medina is a researcher whose work lies at the intersection of autonomous navigation and intelligent transportation systems, with a particular focus on path planning for unmanned ground vehicles. His most cited paper, "A General Purpose Approach for Global and Local Path Planning Combination" (2015), addresses a critical challenge in robotics: seamlessly integrating high-level global route planning with real-time local obstacle avoidance. This work, which has garnered 10 citations, provides a systematic framework for generating safe, efficient trajectories in complex 3D environments—a foundational contribution for autonomous vehicle development. Medina also contributed to experimental platforms with his 2012 paper on an electric scaled vehicle for Intelligent Transportation Systems (ITS) testing, demonstrating his commitment to bridging theoretical algorithms with practical validation. While his citation counts reflect a focused, early-career impact, his path planning research offers a valuable resource for engineers and researchers tackling the core navigation problems that underpin modern autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A General Purpose Approach for Global and Local Path Planning Combination10 citations · 2015
- 2Electric Scaled Vehicle as ITS Experimentation Platform2 citations · 2012