Jorge Ortega
Papers
1
Total Citations
10
H-Index
1
About
Jorge Ortega is a robotics researcher whose work centers on motion planning and trajectory generation for autonomous systems operating in dynamic environments. His most-cited paper, "Robot Trajectory Planning for Multiple 2D Moving Objects Interception: a Functional Approach" (2006), introduces an innovative methodology for online robot motion planning. By leveraging the time-parametric functions of moving objects, Ortega developed an efficient approach for generating interception trajectories, enabling robots to successfully engage with multiple, simultaneously moving targets. This functional framework is particularly valuable for applications requiring real-time responsiveness, such as in slow-moving robotic manipulators or autonomous vehicles navigating cluttered spaces. Though his citation count stands at 10, the work represents a foundational contribution to the field of dynamic trajectory planning, offering a computationally tractable solution to a complex problem. Ortega’s research bridges theoretical control theory and practical robotics, providing a clear, functional pathway for robots to interact with unpredictable, moving objects—a critical capability for advancing autonomous systems in manufacturing, logistics, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1