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Ali-Akbar Agha-Mohammadi
Also published under:Ali-akbar Agha-mohammadi, Ali–akbar Agha–mohammadi, Ali-akbar Agha-Mohammadi, Ali Agha-Mohammadi, A. Agha-mohammadi
Affiliation
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Topic
Extreme Environments,Path Planning,Point Cloud,Underground Environment,Unknown Environment,Cost Function,Ground Robots,Model Predictive Control,Optimal Policy,Semantic Information,Simultaneous Localization And Mapping,Topographic Maps,Unmanned Aerial Vehicles,Aerial Robots,Base Station,Computation Time,Conditional Value At Risk,Control Input,Control Problem,Decision-making,Exploration Missions,Factor Graph,Feature Matching,Gaussian Process,Geometric Information,Global Graph,Global Map,Global Policy,Ground Truth Values,Information Gain,Iterative Closest Point,Kalman Filter,Legged Robots,LiDAR Scans,Light Detection And Ranging,Local Coverage,Local Frame,Local Graph,Local Map,Local Policy,Multi-agent Systems,Multiple Integration,Neural Network,Place Recognition,Planning Problem,Point Cloud Registration,Real Test,Registration Algorithm,Rotation Error,Semantic Graph,
Biography
Ali-akbar Agha-mohammadi received the Ph.D. degree in computer science and engineering from Texas A&M, College Station, TX, USA, in 2014. He is currently a Robotics Technologist with NASA Jet Propulsion Laboratory, Pasadena, CA, USA.