Research on door opening operation of mobile robotic arm based on reinforcement learning
Y Wang, L Wang, Y Zhao - Applied Sciences, 2022 - mdpi.com
Featured Application This work can be applied to grasping tasks based on vision-guided
mobile robotic arm platforms, such as intelligent service robots, dangerous environment …
mobile robotic arm platforms, such as intelligent service robots, dangerous environment …
DeepBGP: A machine learning approach for BGP configuration synthesis
Border Gateway Protocol (BGP) is the standard inter-domain routing protocol that is used to
exchange reachability information among Wide Area Networks (WANs). BGP is a policy …
exchange reachability information among Wide Area Networks (WANs). BGP is a policy …
The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system
AM Vorontsov, GA Filimonov - arXiv preprint arXiv:2204.05227, 2022 - arxiv.org
In this study we consider adaptive power beaming with fiber-array laser transmitter system in
presence of atmospheric turbulence. For optimization of power transition through the …
presence of atmospheric turbulence. For optimization of power transition through the …
Deep reinforcement learning with accelerated reward function technique for robotics task planning
S Shaikh - 2021 - search.proquest.com
The objectives of this research are to investigate, design, develop, and implement a DRL-
based reward function enhanced robotics technique to achieve” human-like” operations for …
based reward function enhanced robotics technique to achieve” human-like” operations for …
Combining Supervised Learning and Digital Twin for Path-planning with Dynamic Obstacle-avoidance
C Vasanthan - 2020 - ntnuopen.ntnu.no
In this master thesis a supervised model is developed to generate a cubic Bézier curve. The
aim is to develop a curve that avoid collision, comply to COLREG and attempt to take the …
aim is to develop a curve that avoid collision, comply to COLREG and attempt to take the …
Method and system for generating network configurations using graph neural network
A method, processing system and processor-readable medium for generating network
configurations using a graph neural network (GNN) are provided. The method may include …
configurations using a graph neural network (GNN) are provided. The method may include …