Lucas C. McNinch
Papers
1
Total Citations
7
H-Index
1
About
Lucas C. McNinch is a researcher specializing in autonomous systems, trajectory planning, and real-time obstacle avoidance. His most-cited work, "Application of a coordinated trajectory planning and real-time obstacle avoidance algorithm" (2010, 7 citations), introduces a novel approach that generates desired autonomous system trajectories from a set of first-order ordinary differential equations. This method ensures convergence to a target position or a close approximation while dynamically avoiding obstacles, offering a computationally efficient solution for real-time control. McNinch’s contributions are particularly valuable in robotics and autonomous vehicle navigation, where coordinated motion and safety are critical. Though his citation count is modest, his work addresses foundational challenges in autonomous path planning, providing a framework that balances trajectory optimization with reactive obstacle avoidance. His research is notable for its mathematical rigor and practical applicability, making it a reference point for engineers developing real-time navigation systems. McNinch’s achievements highlight his role in advancing the integration of trajectory planning and obstacle avoidance, a key area in modern autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1