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Found 2 papers, 1 papers with code
Tensor Train for Global Optimization Problems in Robotics
We treat the task parameters as random variables, and for a given task, we generate samples for decision variables from the conditional distribution to initialize the optimization solver.
Ergodic Exploration using Tensor Train: Applications in Insertion Tasks
In robotics, ergodic control extends the tracking principle by specifying a probability distribution over an area to cover instead of a trajectory to track.
Robotics Systems and Control Systems and Control Dynamical Systems Optimization and Control Applications
