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Ali Agha
Affiliation
Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), Pasadena, CA, USA
Topic
Point Cloud,Convolutional Neural Network,Simultaneous Localization And Mapping,Topographic Maps,Base Station,Depth Camera,Inertial Measurement Unit,Light Detection And Ranging,Mesh Network,Multi-agent Systems,Path Planning,Semantic Map,Stereo Camera,Swarm Robotics,Unknown Environment,Wheeled Robot,Actuator,Artifact Detection,Attention Mechanism,Automatic Generation,Autonomous Mobile,Autonomous Navigation,Bounding Box,Camera Images,Color Score,Common Bird,Communication Nodes,Complex Terrain,Conditional Value At Risk,Deep Neural Network,Degrees Of Freedom,Detection Performance,Digital Elevation Model,Early Recall,Elevation Change,Extreme Environments,Extreme Terrain,False Positive,Fault-tolerant,Final Effect,Final Run,Frontal View,Function Of Velocity,Generate Training Data,Geometric Information,Geometric Measures,Global Map,Global Plan,Graphical User Interface,Grid Cells,
Biography
Ali Agha (Member, IEEE) is a Co-Founder of Field AI, Inc., a company dedicated to advancing next-generation robotic autonomy in complex and offroad environments. Before founding Field AI, Inc., he was a Technologist and the Group Leader of the NASA Jet Propulsion Laboratory, Caltech, Pasadena, CA, USA. During his tenure at JPL, Caltech, he was the Principal Investigator and led NASA’s team in several flagship autonomy-focused projects, including the DARPA Subterranean Challenge, DARPA Racer, and the prototype Mars Helicopter-Rover coordinated autonomy. Prior to his work at JPL, he was with MIT, Cambridge, MA, USA, and Qualcomm Research, San Diego, CA, USA, leading technical efforts in perception and planning for autonomous robotic vehicles.