- A simpler method for learning to control a robot🔍
- Learning Robot Control🔍
- Robot Control Basics🔍
- Introduction to Reinforcement Learning – A Robotics Perspective🔍
- Control techniques vs reinforcement learning in robotics🔍
- Exploration|based model learning with self|attention for risk ...🔍
- Robot Learning for Planning and Control Winter 2023🔍
- Learning for Robot Decision Making🔍
Learning Robot Control
A simpler method for learning to control a robot | MIT News
A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Learning robot control, a subclass of the field of learning control, refers to the process of acquiring a sensory-motor control strategy for a particular ...
Robot Control Basics - Online Course | The Construct
This course includes teaching the fundamental bases of control applied in robotics, starting from different control laws and applying different control methods.
Introduction to Reinforcement Learning – A Robotics Perspective
Related to robotics, it offers new chances for learning robot control under uncertainties for challenging robotic tasks.
Control techniques vs reinforcement learning in robotics - Reddit
I'd argue RL is currently better at generating feedback controllers for complex motions than model-based approaches.
Exploration-based model learning with self-attention for risk ... - Nature
Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes ...
Robot Learning for Planning and Control Winter 2023
An introduction to modern machine learning methods for control and planning in robotics. Topics include function approximation, learning dynamics.
Learning for Robot Decision Making - Cornell CS
Practical reinforcement learning that leverages both model predictive control and model-free methods. Open challenges such as safety, causal confounds and ...
[2105.10049] Learning Modular Robot Control Policies - arXiv
We create a modular policy framework where the policy structure is conditioned on the hardware arrangement, and use just one training process to create a ...
MIT Press Book “Learning for Adaptive and Reactive Robot Control”
This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a ...
Composite adaptation and learning for robot control: A survey
In this article, we provide the first systematic and comprehensive survey of prevalent composite adaptation and learning approaches for robot control.
Learning Control | Autonomous Motion - Max-Planck-Gesellschaft
When robots and other autonomous systems are to be used in complex environments such as outdoors, we cannot foresee every possible situation that the robot ...
Learning Control - Sylvain Calinon
Three-dimensional motion capture systems can be used for mimicking the user's motion to a robot, which is particularly convenient in the case of humanoid robots ...
Learning to Control a Low-Cost Manipulator using Data-Efficient ...
In a robotic system, however, many physical interactions with the environment are often infeasible and lead to worn-out robots. The more fragile a robotic ...
Learning Robot Control - PhD Defense of Yunlong Song - YouTube
This thesis focuses on Learning Robot Control by integrating deep reinforcement learning (RL) and model-based control methods.
Reinforcement Learning Based Robot Control - IEEE Xplore
Reinforcement Learning Based Robot Control. Abstract: Reinforcement learning (RL) has been proven to be a feasible method for learning complicated actions ...
Learning and Autonomous Control - TU Delft
The Learning and Autonomous Control (LAC) team focuses on robot control methods spanning the whole range from high-level cognitive approaches.
[2305.09793] Reinforcement Learning for Safe Robot Control using ...
This paper explores the control Lyapunov barrier function (CLBF) to analyze the safety and reachability solely based on data without explicitly employing a ...
Starting on the Right Foot with Reinforcement Learning
Locomotion Control on Spot. Control systems for legged robots make decisions at multiple time scales. They decide what path the robot should take, what pattern ...
Maneuvering Robot Control Using Machine Learning - Tech Briefs
Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, ...