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Dieter Fox
Also published under:D. Fox
Affiliation
NVIDIA
Topic
Point Cloud,Path Planning,Object Pose,Robot Manipulator,Human Hand,Human-robot Interaction,Pose Estimation,Robotic Arm,Collision Detection,Deformable Objects,Finite Element Method,Human Pose Estimation,Latent Space,Multilayer Perceptron,Object Instances,Object Point Cloud,Objects In The Scene,Point Cloud Segmentation,Rigid Body,Signed Distance Function,3D Deformation,Bounding Box,Continuous State,Convolutional Neural Network,Cost Term,Deep Learning,Deep Reinforcement Learning,Deformation Field,Depth Images,Domain Adaptation,End-effector Pose,External Camera,Field Quantities,Goal State,Gradient-based Optimization,Inverse Kinematics,Joint Configuration,Joint Space,Latent Vector,Markov Decision Process,Motion Generation,Object Geometry,Object Rearrangement,Obstacle Avoidance,Optimization Problem,Performance Metrics,Physical Robot,Policy Network,Pose Tracking,RGB-D Images,
Biography
Dieter Fox (Fellow, IEEE) received the Ph.D. degree in computer science from the University of Bonn, Bonn, Germany, in 1998.
He is currently a Professor with the Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA, where he heads the UW Robotics and State Estimation Lab. He is also the Senior Director of Robotics Research with NVIDIA Corporation, Seattle. He has authored or coauthored more than 200 technical papers. He is a coauthor of the textbook titled Probabilistic Robotics (Cambridge, MA, USA: MIT Press, 2005). His research interests include robotics and artificial intelligence, with a focus on state estimation and perception applied to problems such as mapping, object detection and tracking, manipulation, and activity recognition.
He is currently a Professor with the Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA, where he heads the UW Robotics and State Estimation Lab. He is also the Senior Director of Robotics Research with NVIDIA Corporation, Seattle. He has authored or coauthored more than 200 technical papers. He is a coauthor of the textbook titled Probabilistic Robotics (Cambridge, MA, USA: MIT Press, 2005). His research interests include robotics and artificial intelligence, with a focus on state estimation and perception applied to problems such as mapping, object detection and tracking, manipulation, and activity recognition.