Timothy Sellers
Mississippi State University, United States Department of State
Papers
16
Total Citations
219
H-Index
9
About
Timothy Sellers is a leading researcher in autonomous robotics, specializing in path planning, multi-robot coordination, and bio-inspired navigation algorithms. His work addresses critical challenges in complex, dynamic environments, particularly for applications in search and rescue, disaster response, and disinfection robotics. Sellers is best known for developing graph-based frameworks integrated with nature-inspired algorithms—such as his graph-driven PSO mechanism and centroid-based cell decomposition method—to overcome performance degradation in high-complexity scenarios. His 2023 paper on graph-based robot optimal path planning with bio-inspired algorithms has garnered 50 citations, while his 2022 framework for multi-UAV multitask allocation with spatial dislocation collision avoidance has received 37 citations, demonstrating significant impact. Sellers has also pioneered human-autonomy teaming approaches for safety-aware navigation, notably in a 2021 study on adaptive navigation for a COVID-19 disinfection robot. With over 195 total citations across his top ten papers, his contributions are advancing the reliability and efficiency of autonomous systems in real-world, safety-critical missions.
Research Focus
Key Achievements
Top Papers
- 1Graph-based robot optimal path planning with bio-inspired algorithms50 citations · 2023
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