Amezquita S. Kendrick

National University of Singapore

Papers

1

Total Citations

5

H-Index

1

About

Amezquita S. Kendrick is a researcher focused on the intersection of robotics, autonomous systems, and performance evaluation. Their most notable contribution is the development of the *Pc* metric, a novel performance measure for collision avoidance algorithms, introduced in a 2018 paper that has garnered 5 citations. This work addresses a critical gap in robotics: how to systematically and quantitatively assess the safety and efficiency of algorithms designed to prevent collisions in dynamic environments. By providing a standardized metric, Kendrick has enabled more rigorous benchmarking and comparison of collision avoidance strategies, which is essential for the deployment of autonomous vehicles, drones, and mobile robots. Although their citation count is modest, the *Pc* metric represents a foundational tool that has the potential to influence future research in safe navigation. Kendrick’s work demonstrates a commitment to advancing the reliability and trustworthiness of autonomous systems through careful methodological design, making their contributions valuable for students and engineers seeking to improve real-world robotic performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
The<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e783" altimg="si231.gif"><mml:mi>P</mml:mi><mml:mi>c</mml:mi></mml:math>metric: A performance measure for collision avoidance algorithms
5 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National University of Singapore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago