Kristopher R. Klingler
Papers
1
Total Citations
40
H-Index
1
About
Kristopher R. Klingler has made significant contributions to the field of robotics, particularly in motion planning for dynamic environments. His most-cited work, "Lazy Reconfiguration Forest (LRF) - An Approach for Motion Planning with Multiple Tasks in Dynamic Environments" (2007, 40 citations), introduces a novel algorithm that extends rapidly-exploring random trees (RRTs) to address the challenge of simultaneously planning and maintaining paths for multiple tasks as a robot moves through changing surroundings. This research is pivotal for enabling robots to adapt in real-time to obstacles and shifting conditions, a critical capability for autonomous systems in real-world applications. Klingler’s work stands out for its practical focus on efficiency and adaptability, offering a foundation for further advances in dynamic motion planning. While his citation count reflects a specialized but impactful niche, his contributions have influenced subsequent studies in robotic navigation and task management. For students and researchers exploring motion planning in unpredictable settings, Klingler’s LRF approach remains a key reference, demonstrating how algorithmic innovation can bridge the gap between static planning and dynamic execution.
Research Focus
Key Achievements
Top Papers
- 1