Search Results for author:
Found 5 papers, 1 papers with code
Output-Sampled Model Predictive Path Integral Control (o-MPPI) for Increased Efficiency
The success of the model predictive path integral control (MPPI) approach depends on the appropriate selection of the input distribution used for sampling.
Precision Data-enabled Koopman-type Inverse Operators for Linear Systems
This insight into the required output (history and instantaneous derivative) information, to remove the hidden-state dependence and improve the precision of data-enabled inverse operators, is illustrated with an example system.
Cohesive Networks using Delayed Self Reinforcement
How a network gets to the goal (a consensus value) can be as important as reaching the consensus value.
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks
Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics and manufacturing applications.
Iterative Machine Learning for Precision Trajectory Tracking with Series Elastic Actuators
These estimated models are obtained using a complex-valued Gaussian Process Regression (cGPR) technique and then, used to generate a new feedforward input command based on the previous iteration's error.
