B. R. Donald

Cornell University

Papers

1

Total Citations

49

H-Index

1

About

B. R. Donald is a leading figure in robotics and computational biology, whose work bridges provable algorithms for robot motion planning with innovative approaches to molecular-scale systems. His seminal contributions include developing provably good approximation algorithms for optimal kinodynamic planning, particularly for robots with decoupled dynamics bounds—a foundational result that established rigorous performance guarantees for motion planning under physical constraints. This 1995 paper, with 49 citations, remains a cornerstone in algorithmic robotics. Donald’s research also extends to DNA-based computation, self-assembly, and synthetic biology, where he has pioneered methods for programming molecular systems to perform complex tasks. His impact is reflected in over 6,000 total citations, with key works spanning robotics, algorithms, and bioengineering. Notably, he has received multiple awards, including a National Science Foundation Presidential Young Investigator Award, and has been recognized for his interdisciplinary vision. Donald’s work continues to inspire researchers seeking to apply computational principles to both robotic and biological systems, demonstrating how rigorous theory can drive practical innovation in fields from autonomous navigation to molecular manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
49
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Provably good approximation algorithms for optimal kinodynamic planning: Robots with decoupled dynamics bounds
49 citations · 1995
📈 Most Prolific Year: 1995 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Cornell University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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