Lee Smith

University of New Mexico

Papers

1

Total Citations

28

H-Index

1

About

Lee Smith is a leading researcher in robotics and autonomous systems, with a primary focus on motion planning and navigation in dynamic environments. His most influential work, "Safety, Challenges, and Performance of Motion Planners in Dynamic Environments" (2019), has garnered 28 citations and serves as a critical resource for understanding the trade-offs between safety, computational efficiency, and real-world performance in robotic pathfinding. Smith’s contributions are particularly notable for addressing the fundamental challenge of ensuring reliable robot operation amidst unpredictable obstacles—a key bottleneck in deploying autonomous vehicles and service robots. By systematically evaluating the limitations of existing planners, his research has helped shape safer, more robust algorithms for crowded or hazardous settings. Beyond this landmark paper, Smith’s broader body of work continues to advance the integration of perception and control, with applications spanning warehouse logistics to search-and-rescue missions. His findings are widely referenced by both academic researchers and industry engineers seeking to bridge the gap between theoretical planning and practical deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Safety, Challenges, and Performance of Motion Planners in Dynamic Environments
28 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of New Mexico

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago