Topic

Arash Asgharivaskasi

Affiliation

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

Topic

Semantic Information,Simultaneous Localization And Mapping,Activation Maps,Depth Camera,Free Space,Inner Nodes,Leaf Node,Markov Decision Process,Mutual Information,Point Cloud,Real-world Experiments,Robot Operating System,Semantic Map,Semantic Segmentation,Unknown Environment,Attention-based Neural Network,Autonomic System,Binary Map,Call Sequences,Central Node,Collaborative Planning,Compressed Representation,Compression Algorithm,Computational Efficiency,Conditional Mutual Information,Control Input,Cost Function,Deep Learning,Deep Q-learning,Deep Reinforcement Learning,Dijkstra’s Algorithm,Distributed Algorithm,Distribution Of Categories,Distribution Planning,Efficient Planning,End Of Episode,Exploration Of Environment,Feasible Path,Field Of View,Fisher Information,Gradient-based Optimization,Graph Neural Networks,Heuristic Algorithm,Hierarchical Model,Hyperparameters,Imitation Learning,Kalman Filter,Kullback-Leibler,Landmark Localization,Large Language Models,

Biography

Arash Asgharivaskasi (Member, IEEE) received the B.S. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2018, and the M.S. degree in electrical and computer engineering from the University of California San Diego, La Jolla, CA, USA, in 2021. He is currently working toward the Ph.D. degree in electrical and computer engineering with the University of California San Diego, La Jolla, CA, USA.
His research focuses on active information acquisition using mobile robots with applications to mapping, security, and environmental monitoring.