Biblio

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2024
Y. Li, Wu, Z., Zhao, H., Yang, T., Liu, Z., Shu, P., Sun, J., Parasuraman, R., and Liu, T., Aldm-grasping: Diffusion-aided zero-shot sim-to-real transfer for robot grasping, arXiv preprint arXiv:2403.11459, 2024.
Q. Yang and Parasuraman, R., Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning, in Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024, pp. 646–648.
Q. Yang and Parasuraman, R., Bayesian strategy networks based soft actor-critic learning, ACM Transactions on Intelligent Systems and Technology, vol. 15, pp. 1–24, 2024.
L. Zhang, Sun, H., Sun, J., Parasuraman, R., Ye, Y., and Hu, R. Qingyang, Map2Schedule: An End-to-End Link Scheduling Method for Urban V2V Communications, in 2024 IEEE International Conference on Communications (ICC), 2024.
S. Wu, Yang, B., Yang, H., Coshatt, S. J., Gong, X., Parasuraman, R. Nattanmai, Conrad, J., Perdisci, R., Zhong, W., Ye, J., and others, Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation, IEEE Internet of Things Journal, 2024.
S. Wu, Yang, B., Yang, H., Coshatt, S. J., Gong, X., Parasuraman, R. Nattanmai, Conrad, J., Perdisci, R., Zhong, W., Ye, J., and others, Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation, IEEE Internet of Things Journal, 2024.
S. Wu, Yang, B., Yang, H., Coshatt, S. J., Gong, X., Parasuraman, R. Nattanmai, Conrad, J., Perdisci, R., Zhong, W., Ye, J., and others, Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation, IEEE Internet of Things Journal, 2024.
A. Munir, Parasuraman, R., Ye, J., and Song, W., Route Planning for Electric Vehicles with Charging Constraints, in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024, pp. 1–5.
2021
Q. Yang and Parasuraman, R., How can robots trust each other for better cooperation? a relative needs entropy based robot-robot trust assessment model, in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 2656–2663.
Q. Yang, Self-Adaptive Swarm System (SASS), arXiv preprint arXiv:2106.04679, 2021.
X. Zhang, Yan, L., Lam, T. Lun, and Vijayakumar, S., Task-Space Decomposed Motion Planning Framework for Multi-Robot Loco-Manipulation, in 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 8158–8164.
2020
Q. Yang and Parasuraman, R., Hierarchical needs based self-adaptive framework for cooperative multi-robot system, in 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 2991–2998.
Q. Yang and Parasuraman, R., Needs-driven heterogeneous multi-robot cooperation in rescue missions, in 2020 ieee international symposium on safety, security, and rescue robotics (ssrr), 2020, pp. 252–259.
2019
Q. Yang, Luo, Z., Song, W., and Parasuraman, R., Self-reactive planning of multi-robots with dynamic task assignments, in 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2019, pp. 89–91.
2017
H. Ma, Yang, J., Cohen, L., Kumar, T. K. Satish, and Koenig, S., Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments, in AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2017.
2013
Z. Yan, Jouandeau, N., and Cherif, A. Ali, A Survey and Analysis of Multi-Robot Coordination, International Journal of Advanced Robotic Systems, vol. 10, 2013.
2008
N. Ayanian, White, P., Halász, A., Yim, M., and Kumar, V., Stochastic Control for Self-Assembly of {XB}ots, in ASME Mechanisms and Robotics Conference, New York, NY, 2008, vol. 2, pp. 1169-1176.