[HTML][HTML] Robot learning towards smart robotic manufacturing: A review

Z Liu, Q Liu, W Xu, L Wang, Z Zhou - Robotics and Computer-Integrated …, 2022 - Elsevier
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …

[HTML][HTML] A review: On path planning strategies for navigation of mobile robot

BK Patle, A Pandey, DRK Parhi, A Jagadeesh - Defence Technology, 2019 - Elsevier
This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance

P Chen, J Pei, W Lu, M Li - Neurocomputing, 2022 - Elsevier
In a dynamic environment, the moving obstacle makes the path planning of the manipulator
very difficult. Therefore, this paper proposes a path planning with dynamic obstacle …

Reinforcement based mobile robot path planning with improved dynamic window approach in unknown environment

L Chang, L Shan, C Jiang, Y Dai - Autonomous robots, 2021 - Springer
Mobile robot path planning in an unknown environment is a fundamental and challenging
problem in the field of robotics. Dynamic window approach (DWA) is an effective method of …

Reinforcement learning for robot research: A comprehensive review and open issues

T Zhang, H Mo - International Journal of Advanced Robotic …, 2021 - journals.sagepub.com
Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …

Critical design and control issues of indoor autonomous mobile robots: A review

MAK Niloy, A Shama, RK Chakrabortty, MJ Ryan… - IEEE …, 2021 - ieeexplore.ieee.org
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

An adaptive conversion speed Q-learning algorithm for search and rescue UAV path planning in unknown environments

J Wu, D Li, J Shi, X Li, L Gao, L Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the wide application of unmanned aerial vehicles (UAVs), performing search and
rescue missions autonomously in unknown environment has become an increasingly …

Motion planning for mobile robots—Focusing on deep reinforcement learning: A systematic review

H Sun, W Zhang, R Yu, Y Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile robots contributed significantly to the intelligent development of human society, and
the motion-planning policy is critical for mobile robots. This paper reviews the methods …

Optimal path planning approach based on Q-learning algorithm for mobile robots

A Maoudj, A Hentout - Applied Soft Computing, 2020 - Elsevier
In fact, optimizing path within short computation time still remains a major challenge for
mobile robotics applications. In path planning and obstacles avoidance, Q-Learning (QL) …

Past, present and future of path-planning algorithms for mobile robot navigation in dynamic environments

HS Hewawasam, MY Ibrahim… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Mobile robots have been making a significant contribution to the advancement of many
sectors including automation of mining, space, surveillance, military, health, agriculture and …