Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …
significant promise for capturing expert motor skills through efficient imitation, facilitating …
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation
Today robots must be safe, versatile, and user-friendly to operate in unstructured and human-
populated environments. Dynamical system-based imitation learning enables robots to …
populated environments. Dynamical system-based imitation learning enables robots to …
Continual Domain Randomization
Domain Randomization (DR) is commonly used for sim2real transfer of reinforcement
learning (RL) policies in robotics. Most DR approaches require a simulator with a fixed set of …
learning (RL) policies in robotics. Most DR approaches require a simulator with a fixed set of …
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration
In continual learning from demonstration (CLfD), a robot learns a sequence of real-world
motion skills continually from human demonstrations. Recently, hypernetworks have been …
motion skills continually from human demonstrations. Recently, hypernetworks have been …
SE (3) Linear Parameter Varying Dynamical Systems for Globally Asymptotically Stable End-Effector Control
S Sun, N Figueroa - arXiv preprint arXiv:2403.16366, 2024 - arxiv.org
Linear Parameter Varying Dynamical Systems (LPV-DS) encode trajectories into an
autonomous first-order DS that enables reactive responses to perturbations, while ensuring …
autonomous first-order DS that enables reactive responses to perturbations, while ensuring …
Effect of Optimizer, Initializer, and Architecture of Hypernetworks
S Auddy, S Bergner¹, J Piater - … Robotics Forum 2024: 15th ERF, Volume … - books.google.com
In continual learning from demonstration (CLfD), a robot learns a sequence of real-world
motion skills continually from human demonstrations. Recently, hypernetworks have been …
motion skills continually from human demonstrations. Recently, hypernetworks have been …