Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
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- Photonics and Electrooptics
- Engineering Profession
- Aerospace
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- English for Technical Professionals
Thai Duong
Affiliation
Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA
Topic
Neural Network,Control Input,Cost Function,Dynamic Model,Graph Neural Networks,Learning Control,Learning Models,Morphine,Nominal Model,Robot Dynamics,Robot State,State Trajectories,Accuracy Of Model,Artificial Neural Network,Autonomous Navigation,Behavior Of Nodes,Call Sequences,Center Of Mass,Closed-loop Dynamics,Communication Rounds,Communication Topology,Contact Phase,Convergence Guarantees,Convex Optimization,Convex Optimization Algorithms,Convex Optimization Problem,Cooperative Behavior,Cycle Consistency,Dense Network,Dijkstra’s Algorithm,Distributed Control,Edge Density,Edge Probability,Efficient Planning,Energy Exchange,Entire Phase,Equations Of Motion,Euclidean Space,Existence Of Edges,Feasible Path,Feature Space,Final Target,Flight Phase,Forelimb,Future Horizon,Global Convergence,Graph Topology,Hamilton Jacobi Equation,Hamiltonian Dynamics,Hamiltonian Function,
Biography
Thai Duong (Student Member, IEEE) received the B.S. degree in electronics and telecommunications from the Hanoi University of Science and Technology, Hanoi, Vietnam, in 2011, and the M.S. degree in electrical and computer engineering from Oregon State University, Corvallis, OR, USA, in 2013. 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 interests include machine learning with applications to robotics, mapping and active exploration using mobile robots, robot dynamics learning, and decision making under uncertainty.