Implementation of Q learning and deep Q network for controlling a self balancing robot model

MDM Rahman, SMH Rashid, MM Hossain - Robotics and biomimetics, 2018 - Springer
In this paper, the implementations of two reinforcement learnings namely, Q learning and
deep Q network (DQN) on the Gazebo model of a self balancing robot have been discussed …

[PDF][PDF] The stability of cannon position on tank prototype using PID controller

DFA Putra, AS Muharom - Indonesian Journal of …, 2021 - pdfs.semanticscholar.org
Tank is a war vehicle made of steel that can be operated on various fields. With various
fields and a large amount of terrain that the tank had to pass, this made it necessary for the …

Design and development of two-wheeled self-balancing robot and its controller

AM Chheda, RK Mandava… - International Journal of …, 2021 - inderscienceonline.com
Solving self-balancing problems of a wheeled robot that can assist human beings in real-
time applications is a challenging task. Researchers around the world are adopting the …

From Simulation to Deployment: Transfer Learning of a Reinforcement Learning Model for Self-balancing Robot

S Sridharan, T Shaikh - … on Information Technology and Applications: ICITA …, 2022 - Springer
Reinforcement learning algorithms are time and resource-intensive and can be influenced
by the setup of the physical robot environment and its hardware capabilities. Often, in small …

Automating tank operations in smolt production–A concept study for automating tank cleaning using robotic arms

P Hofset Skeide - 2020 - ntnuopen.ntnu.no
This thesis aims at exploring the possibility of using a novel mobile robotic manipulator
system to automate identified operations within smolt production facilities. The work has …