Preprints

S. Sivashangaran, A. Khairnar and A. Eskandarian, “Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning,” arXiv preprint arXiv:2402.05066, Feb. 2024. (Link)

Journal Articles

S. Sivashangaran and A. Eskandarian, “Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps," Advances in Artificial Intelligence and Machine Learning, 3 (2), 1198-1219, Jun. 2023. (Link) (Preprint)

G. Mehr, P. Ghorai, C. Zhang, A. Nayak, D. Patel, S. Sivashangaran and A. Eskandarian, “X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research," IEEE Intelligent Transportation Systems Magazine, 15(2), 41-57, May 2022. (Link) (Preprint)

Conference Proceedings

S. Sivashangaran and A. Eskandarian, “XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research," Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition. Volume 6: Dynamics, Vibration, and Control. New Orleans, LA, USA, Oct. 29–Nov. 2, 2023. V006T07A068. American Society of Mechanical Engineers. (Link) (Preprint)

A. Khairnar, S. Sivashangaran and A. Eskandarian, “A Comparison of Motion Planning Methods for Autonomous Ground Vehicle Exploration and Search," Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition. Volume 6: Dynamics, Vibration, and Control. New Orleans, LA, USA, Oct. 29–Nov. 2, 2023. V006T07A069. American Society of Mechanical Engineers. (Link)

S. Sivashangaran, A. Khairnar and A. Eskandarian, “AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning," IFAC-PapersOnLine, vol. 56, no. 3, pp. 475-480, Dec. 2023. (Link) (Preprint)

S. Sivashangaran, D. Patel and A. Eskandarian, “Nonlinear Model Predictive Control for Optimal Motion Planning in Autonomous Race Cars," IFAC-PapersOnLine, vol. 55, no. 37, pp. 645-650, Nov. 2022. (Link)

S. Sivashangaran and M. Zheng, “Intelligent Autonomous Navigation of Car-Like Unmanned Ground Vehicle via Deep Reinforcement Learning," IFAC-PapersOnLine, vol. 54, no. 20, pp. 218-225, Dec. 2021. (Link)

K. Hulme, A. Estes, M. Schmid, E. Torres, C. Hendrick and S. Sivashangaran, “Game-based Proving-grounds Simulation to Assess Driving & Learning Preferences," Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Orlando, FL, USA, Dec. 2018. (Link)

Conference Posters and Tutorials

S. Sivashangaran, A. Khairnar and A. Eskandarian, “Cognitive Navigation for Search and Rescue Autonomous Ground Vehicle using Soft Actor-Critic," The American Control Conference (ACC), Poster, San Diego, CA, USA, Jun. 2023. (Link)

K. Hulme, E. Torres, C. Hendrick and S. Sivashangaran, “The Science of Thrills: Applied M&S in the Entertainment Industry," The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Tutorial, Orlando, FL, USA, Dec. 2018. (Link)

Theses

S. Sivashangaran, “Application of Deep Reinforcement Learning for Intelligent Autonomous Navigation of Car-Like Mobile Robot," State University of New York at Buffalo, Master's Thesis, Feb. 2021. (Link)