Johnathan Votion

Assistant Professor of Instruction, Electrical and Computer Engineering

Johnathan Votion

Research Interests

Autonomy; Guidance, Navigation and Control; Intelligent Decision Making; Unmanned Systems; Path Planning; Cooperative Systems.

Degrees

Ph.D., Electrical Engineering, The University of Texas San Antonio, 2016

 

Publications

 

P. K. Ranjan, J. Votion, Y. Cao, D. Tran, D. Casbeer, and I. Weintraub, “Energy-aware 3D Leader-Follower Flight Trajectory Optimization for Fixed-Wing Aircraft,” to be presented in AIAA SciTech Forum, 2022.

J. Votion, F. Tao, and Y. Cao, “Risk-Aware Multi-Agent Path Planning for Target Detection: A Multi-Agent
Reinforcement Learning Approach,” AIAA SciTech Forum, 0267, 2021. doi:10.2514/6.2021-0267.

F. Tao, R. Suresh, J. Votion and Y. Cao, “Graph Based Multi-layer K-means++ (G-MLKM) for Sensory Pattern
Analysis in Constrained Spaces,” archived, 2020. arXiv:2009.09925.

J. Votion, Y. Cao, “Operational Risk Estimation via a Decomposition-Based Uncertainty Propagation Approach,”
AIAA SciTech Forum, 1628, 2020. doi:10.2514/6.2020-1628.

F. Tao, J. Votion and Y. Cao, “Risk-aware Multi-robot Collaboration with Arrival Deadlines in Uncertain Environments,” AIAA SciTech Forum, 0661, 2020. doi:10.2514/6.2020-0661.

J. Hong, J. Votion, Y. Cao and Y. Jin, “Adaptive Communication and Control Co-design for Multi-Agent Coordination
with Second-Order Dynamics,” American Control Conference, 5322–5327, 2019. doi:10.23919/ACC.2019.8814679.

J. Votion, Y. Cao, “Diversity-Based Cooperative Multivehicle Path Planning for Risk Management in Costmap
Environments,” IEEE Transactions on Industrial Electronics, 66 (8), 6117–6127, 2018. doi:10.1109/TIE.2018.2874587.

F. Tao, J. Votion and Y. Cao, “An Iterative Multilayer Unsupervised Learning Approach for Sensory Data Reliability
Evaluation,” IEEE Transactions on Industrial Informatics, 15 (4), 2199–2209, 2018. doi:10.1109/TII.2018.2864742.

R. Suresh, F. Tao, J. Votion and Y. Cao, “Machine Learning Approaches for Multi-Sensor Data Pattern Recognition:
K-means, Deep Neural Networks, and Multi-layer K-means,” AIAA InfoTech, 1639, 2018. doi:10.2514/6.2018-1639.

J. Votion, Y. Cao, “Multi-Objective Cooperative Search of Spatially Diverse Routes in Uncertain Environments,”
IEEE Conference on Control Technology and Applications, 1868–1873, 2017. doi:10.1109/CCTA.2017.8062728.

S. Silva, R. Suresh, F. Tao, J. Votion and Y Cao “A multi-layer k-means approach for multi-sensor data pattern
recognition in multi-target localization,” archived, 2017. arXiv:1705.10757.

K. Suresh, S. Silva, J. Votion, Y. Cao, “Multi-Sensor Data Pattern Recognition for Multi-Target Localization: A
Machine Learning Approach,” archived, 2017. arXiv:1703.00084.

J. Votion, “Estimating the Operational Status of Agents in Distributed Systems Experiencing Uncertain Communication and Agent Attrition,” Dissertation- Univ. of Texas San Antonio, 2016. ISBN:978-1-339-85270-6.

B. Alger, J. Votion, C. Qian, “Sampled-Data Output Feedback Control of Uncertain Nonholonomic Systems in
Chained Forms with Applications to Mobile Robots”, American Control Conference, 4659–4664, 2014.
doi:10.1109/ACC.2014.6859363.

J. Votion, “Parameter Identification and Control for a Drum Boiler System–A Nonlinear Approach Based on a
Finite-Time Observer,” Thesis – Univ. Texas San Antonio, 2012. ISBN:978-1-267-34427-4.