Todd M. Quasny

Papers

1

Total Citations

5

H-Index

1

About

Todd M. Quasny is a robotics researcher whose work focuses on motion planning and obstacle avoidance for mobile robots, particularly differentially steered systems. His most notable contribution is the refinement of the Curvature-Velocity Method (CVM), a widely used approach for real-time obstacle avoidance. In his 2003 paper, Quasny addressed a critical gap in the original CVM formulation by extending it to differentially steered robots—a common platform in robotics research and industry. This work has accumulated 5 citations, serving as a valuable reference for researchers developing navigation algorithms for wheeled robots. While his citation count is modest, Quasny’s contribution is significant for its practical impact: by adapting CVM to account for the unique kinematic constraints of differential drive systems, he enabled more accurate and reliable obstacle avoidance in real-world applications. His research sits at the intersection of control theory, kinematics, and autonomous navigation, providing a foundation for subsequent work in robot motion planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Curvature-Velocity Method for Differentially Steered Robots.
5 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago