Herve Pollart

Papers

Total Citations

177

H-Index

About

Dr. Hervé Pollart is a leading figure in the field of autonomous navigation, with a primary focus on developing robust, real-time path planning algorithms for mobile robots and intelligent vehicles. His most impactful contribution addresses a critical flaw in the classic Artificial Potential Field (APF) method—the problem of local minima that can trap a robot. In his seminal 2017 paper, cited over 177 times, Dr. Pollart introduced a modified APF approach that effectively overcomes this limitation, enabling smoother and more reliable online navigation. This work is widely recognized as a practical solution for dynamic environments, bridging the gap between theoretical robotics and real-world deployment. Beyond this key achievement, his research continues to influence the design of safer, more efficient autonomous systems. Dr. Pollart’s work is essential reading for students and engineers tackling the challenges of local path planning, offering a clear and effective remedy to one of the field’s most persistent obstacles.