Papers

15

Total Citations

461

H-Index

7

About

J. Guldner is a leading figure in the field of robotic control, with a career focused on solving the fundamental challenges of autonomous navigation and motion control. His most significant contributions lie in the integration of sliding mode control with artificial potential fields, creating robust and invariant systems for robot path planning and obstacle avoidance. His seminal 1995 paper on sliding mode control for gradient tracking, with 221 citations, established a foundational methodology for guiding holonomic robots along potential field gradients. Guldner masterfully extended this work to non-holonomic mobile robots, tackling the notoriously difficult stabilization problem with Lyapunov-based navigation and sliding mode control, a key contribution cited 98 times. He also pioneered the use of harmonic potential fields for obstacle avoidance, ensuring smooth, collision-free trajectories. Beyond navigation, Guldner made notable advances in robust tracking control for rigid-link electrically-driven manipulators, addressing both free-space and constrained motion. His work is characterized by a deep theoretical rigor and a clear focus on practical implementation, making him a highly influential researcher in the robotics community.

Research Focus

Key Achievements

7
H-Index
15
Papers
461
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Sliding mode control for gradient tracking and robot navigation using artificial potential fields
221 citations · 1995
📈 Most Prolific Year: 1994 (6 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Clemson University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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