Amarasiri, N., Barhorst, A.A. and Gottumukkala, R., 2024. Sharp Curve Trajectory Tracking of a Universal Omni-Wheeled Mobile Robot Using a Sliding Mode Controller. ASME Letters in Dynamic Systems and Control. doi:https://doi.org/10.1115/1.4066937
Amarasiri, N., Barhorst, A.A. and Gottumukkala, R., 2024. Investigating Suitable Combinations of Dynamic Models and Control Techniques for Offline Reinforcement Learning Based Navigation: Application Universal Omni-wheeled Robots. ASME Letters in Dynamic Systems and Control, pp.1-11, doi:https://doi.org/10.1115/1.4064517
Amarasiri, N., Barhorst, A.A. and Gottumukkala, R., 2022. Robust Dynamic Modeling and Trajectory Tracking Controller of a Universal Omni-Wheeled Mobile Robot. ASME Letters in Dynamic Systems and Control, 2(4), p.040902, doi:https://doi.org/10.1115/1.4055690
S. J. Chu, N. Amarasiri, S. Giri, and P. Kafle, (2025) Blood Glucose Level Prediction in Type 1 Diabetes Management Using Regression, Ensembles, Deep Learning, and Reinforcement Learning,Communications in Computer and Information Science. Springer Nature Switzerland, pp. 154–167, 2025. doi: https://doi.org/10.1007/978-3-031-94950-0_14
Amarasiri, N., Barhorst, A.A. and Gottumukkala, R., Universal Omni-Wheeled Mobile Robot Navigation Using Deep Reinforcement Learning Accepted ASME IMECE 2025
Sandesh, G., Kafle, P., Amarasiri, N., Comparative Analysis of Control Algorithms for Continuous Glucose Monitoring Systems: A Simulation Study Preprint
Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning. International Conference on Computational Science and Computational Intelligence (CSCI) 2024, Las Vegas, USA. Link
Comparison between two distinct dynamic modeling techniques and three linear and one Nonlinear controller for a universal omni-wheeled mobile robot: Application offline Reinforcement learning based navigation. ASME IMECE conference, New Orleans, LA, USA. 2023. Link
Robust dynamic modeling and trajectory tracking controller of a universal omni wheeled mobile robot. ASME IMECE conference, Columbus, OH, USA, 2022. Link
Mobile Robot Navigation using Reinforcement Learning: Application of Universal Omni-Wheeled Robot Continues action and Observation Space. University of Louisiana at Lafayette, LA, USA, 2024 https://engineering.louisiana.edu/node/877
Comparison between two distinct dynamic modeling techniques and three linear and one Nonlinear controller for a universal omni-wheeled mobile robot: application offline Reinforcement learning based navigation. University of Louisiana at Lafayette, LA, USA, 2023 https://engineering.louisiana.edu/node/793
Robust dynamic modeling and trajectory tracking controller of a universal omni-wheeled mobile robot. University of Louisiana at Lafayette, LA, USA, 2022 https://engineering.louisiana.edu/node/640
Design and Development of EMG Controlled Prosthetic Lower Limb, Keerthipan. A., Amarasiri, H.A.N.B, (2019). Sustainable Business Transition through Technology and Innovations. Uva Wellassa University, Badulla, Sri Lanka, 7th February 2019. Sri Lanka: Uva Wellassa University. Link
Obstacle avoidance system for a Quadrotor UAV based on image processing, Prabashitha, R.D., Amarasiri, H.A.N.B, (2018). Emerging Technologies for an innovative green economy. Uva Wellassa University, Badulla, Sri Lanka, 1st February 2018. Sri Lanka: Uva Wellassa University. 419. Link
Object sorting system using affordable robotic manipulator, De Silva, A.M.C., Amarasinghe, C., Amarasiri, H.A.N.B, (2018). Emerging Technologies for an innovative green economy. Uva Wellassa University, Badulla, Sri Lanka, 1st February 2018. Sri Lanka: Uva Wellassa University. 420. Link
Eye blink detection by Image processing to prevent vehicle accidents, Nimanthi, K.S.H.,Amarasiri, H.A.N.B, (2018). Emerging Technologies for an innovative green economy. Uva Wellassa University, Badulla, Sri Lanka, 1st February 2018. Sri Lanka: Uva Wellassa University. 434. Link