James Wilson

James Wilson
Adjunct Instructor

Email: james.wilson@uconn.edu

Google Scholar: https://scholar.google.com/citations?user=YgMcwNIAAAAJ&hl=en

Dr. James Wilson recently earned his Ph.D. from the Department of Electrical and Computer Engineering at the University of Connecticut in 2023 Prof. Shalabh Gupta. Currently, he is continuing to perform research at the Laboratory of Intelligent Networked Systems and Robotics with Prof. Gupta considering various robotic path planning applications. His research interests include robotics and AI, autonomous vehicles, motion and vehicle path planning, deep and reinforcement learning, multi-objective optimization, supervisory control, smart manufacturing, data analytics and fusion, fault tolerant, resilient systems, and system diagnostics and prognostics.

Recent Publications :

• J. P. Wilson, S. Gupta, and T. A. Wettergren, “Generalized multi-speed Dubins motion model,” arXiv preprint arXiv:2402.01122, 2024. Submitted for review.
• ·Z. Shen, J. P. Wilson, S. Gupta, and R. Harvey, “SMART: Self-morphing adaptive replanning tree,” IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7312–7319, 2023
•  J. Yang, J. P. Wilson, and S. Gupta, “DARE: Diver action recognition encoder for underwater human–robot interaction,” IEEE Access, vol. 11, pp. 76 926–76 940, 2023.
• J. P. Wilson, Z. Shen, U. Awasthi, G. M. Bollas, and S. Gupta, “Multi-objective optimization for cost-efficient and resilient machining under tool wear,” Journal of Advanced Manufacturing and Processing, vol. 4, no. 4, e10140, 2022.