Patents
Publications
Prasanth has published multiple papers in top-tier AI/Robotics conferences such as AuRo, AAMAS, UAI, etc. His recent publications are first-author contributions that realize elegant mathematical formalisms using use-inspired real-world robotic domains.
- Sengadu Suresh, P., Jain, S., Doshi, P. & Romeres, D., (2024). Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. At the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems.
- Sengadu Suresh, P., Romeres, D., Doshi, P. & Jain, S., (2024). OHRCS: Open Human-Robot Collaborative Systems - A Research Perspective. At The Sixth IEEE International Conference on Cognitive Machine Intelligence 2024.
- Sengadu Suresh, P., Gui, Y., & Doshi, P. (2023). Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 1116–1124.
- Suresh, P. S., & Doshi, P. (2022). Marginal MAP estimation for inverse RL under occlusion with observer noise. Uncertainty in Artificial Intelligence, 1907–1916.
- Asali, E., Shenavarmasouleh, F., Mohammadi, F. G., Suresh, P. S., & Arabnia, H. R. (2021). Deepmsrf: A novel deep multimodal speaker recognition framework with feature selection. In Advances in Computer Vision and Computational Biology: Proceedings from IPCV’20, HIMS’20, BIOCOMP’20, and BIOENG’20 (pp. 39–56). Springer International Publishing Cham.
- Williams, T., Yazdani, F., Suresh, P., Scheutz, M., & Beetz, M. (2019). Dempster-shafer theoretic resolution of referential ambiguity. Autonomous Robots, 43, 389–414.