Search Results for author:
Found 5 papers, 3 papers with code
DeepCPG Policies for Robot Locomotion
We present novel DeepCPG policies that embed CPGs as a layer in a larger neural network and facilitate end-to-end learning of locomotion behaviors in deep reinforcement learning (DRL) setup.
Robust Deep Reinforcement Learning for Quadcopter Control
However, the policies trained on stationary environments suffer in terms of generalization when transferred from one environment to another.
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
The results show faster learning with the presented approach as opposed to learning the control policy from scratch for this new UAV design created by modifications in a conventional quadcopter, i. e., the addition of more degrees of freedom (4-actuators in conventional quadcopter to 8-actuators in tilt-rotor quadcopter).
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Quality control is an essential process in manufacturing to make the product defect-free as well as to meet customer needs.
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
This novel toolkit is developed to facilitate easy integration of legacy production machinery and factory floor artifacts with the digital and smart manufacturing environment with no requirement of any physical changes in the machines.
