Design and implementation of an adaptive neural network observer–based backstepping sliding mode controller for robot manipulators
Robot manipulators as an indispensable part of automatic operation are becoming
increasingly important in intelligent manufacturing systems, such as grinding and assembly …
increasingly important in intelligent manufacturing systems, such as grinding and assembly …
Development of magnetically levitated rotary table for repetitive trajectory tracking
The magnetic levitation system has been considered as a promising actuator in
micromachining areas of study. In order to improve the tracking performance and …
micromachining areas of study. In order to improve the tracking performance and …
Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Cell rotation is widely used to adjust cell posture in sub-cellular micromanipulations. The
trajectory planning of the injection micropipette is needed, so that the cells can be rotated …
trajectory planning of the injection micropipette is needed, so that the cells can be rotated …
Trajectory Progress-Based Prioritizing and Intrinsic Reward Mechanism for Robust Training of Robotic Manipulations
W Liang, Y Liu, J Wang, ZX Yang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Training robots by model-free deep reinforcement learning (DRL) to carry out robotic
manipulation tasks without sufficient successful experiences is challenging. Hindsight …
manipulation tasks without sufficient successful experiences is challenging. Hindsight …
Disturbance Observer based Terminal Sliding Mode Control for an Electromagnetic Actuated Micropositioner with Prescribed Performance
Precise and smooth control of an electromagnetic actuated micropositioner is a challenging
task due to the system's nonlinear electromagnetic dynamics, as well as its unique structure …
task due to the system's nonlinear electromagnetic dynamics, as well as its unique structure …
Disturbance Rejection Control for Autonomous Trolley Collection Robots with Prescribed Performance
Trajectory tracking control of autonomous trolley collection robots (ATCR) is a challenging
task due to the complex environment, significant noise, and external disturbances. To …
task due to the complex environment, significant noise, and external disturbances. To …
Abnormal Behavior Recognition for Human Motion Based on Improved Deep Reinforcement Learning
X Duan - International Journal of Image and Graphics, 2024 - World Scientific
Recognizing abnormal behavior recognition (ABR) is an important part of social security
work. To ensure social harmony and stability, it is of great significance to study the …
work. To ensure social harmony and stability, it is of great significance to study the …
Nonlinear Disturbance Observer Based Sliding Mode Control for Robot Manipulators and Micropositioners Towards Safety Monitoring
X Ruidong - 2023 - search.proquest.com
Smart manufacturing is an on-demand responsive autonomous manufacturing mode, and
under such mechanism, the processing data are collected by the sensing system …
under such mechanism, the processing data are collected by the sensing system …
[图书][B] Improvements and Characterization of Error, Speed, and Capabilities in Low-Cost Additive Manufacturing Systems
HA Hemminger - 2022 - search.proquest.com
Herein, I present advancements in path and trajectory planning in low-cost Fused Filament
Fabrication (FFF) additive manufacturing. I improve and extend path and trajectory planning …
Fabrication (FFF) additive manufacturing. I improve and extend path and trajectory planning …