Reinforcement learning in robotic applications: a comprehensive survey

B Singh, R Kumar, VP Singh - Artificial Intelligence Review, 2022 - Springer
In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …

[HTML][HTML] Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning

J Hua, L Zeng, G Li, Z Ju - Sensors, 2021 - mdpi.com
Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results

H Su, Y Hu, HR Karimi, A Knoll, G Ferrigno, E De Momi - Neural networks, 2020 - Elsevier
In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …

Adaptive neural networks finite-time optimal control for a class of nonlinear systems

Y Li, T Yang, S Tong - IEEE Transactions on Neural Networks …, 2019 - ieeexplore.ieee.org
This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …

Admittance-based controller design for physical human–robot interaction in the constrained task space

W He, C Xue, X Yu, Z Li, C Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, an admittance-based controller for physical human-robot interaction (pHRI) is
presented to perform the coordinated operation in the constrained task space. An …

Dynamic movement primitives in robotics: A tutorial survey

M Saveriano, FJ Abu-Dakka… - … Journal of Robotics …, 2023 - journals.sagepub.com
Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

Openstreetmap-based autonomous navigation for the four wheel-legged robot via 3d-lidar and ccd camera

J Li, H Qin, J Wang, J Li - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which is
publicly available and can provide a wide range of road information for outdoor robot …

[HTML][HTML] Dynamic movement primitives based robot skills learning

LH Kong, W He, WS Chen, H Zhang… - Machine Intelligence …, 2023 - Springer
In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

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 …

Object detection recognition and robot grasping based on machine learning: A survey

Q Bai, S Li, J Yang, Q Song, Z Li, X Zhang - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …