[HTML][HTML] Robot learning towards smart robotic manufacturing: A review
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 …
manufacturing. Since the beginning of the first integration of industrial robots into production …
Advancements in humanoid robots: A comprehensive review and future prospects
This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection
In electroencephalogram (EEG) signal analysis, data fading problem exists from signal
production to collection by brain-computer interface (BCI) device, which can be raised by …
production to collection by brain-computer interface (BCI) device, which can be raised by …
[HTML][HTML] A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural …
Due to changes in the environment and errors that occurred during skill initialization, the
robot's operational skills should be modified to adapt to new tasks. As such, skills learned by …
robot's operational skills should be modified to adapt to new tasks. As such, skills learned by …
[HTML][HTML] Robotic disassembly of electric vehicle batteries: Technologies and opportunities
The demand for electric vehicle (EV) battery services, such as repair, remanufacturing, and
recycling, is rising as more EVs enter the market. Disassembly is an essential step in these …
recycling, is rising as more EVs enter the market. Disassembly is an essential step in these …
A novel teacher–student hierarchical approach for learning primitive information
H Zhang, Y Huang, W Han, H Chen, D **ong… - Expert Systems with …, 2024 - Elsevier
In this study, we focus on the challenge of robot motion generation, which is critical for
improving the ability of robots to perform downstream tasks. To this end, inspired by the idea …
improving the ability of robots to perform downstream tasks. To this end, inspired by the idea …
A framework for composite layup skill learning and generalizing through teleoperation
In this article, an impedance control-based framework for human-robot composite layup skill
transfer was developed, and the human-in-the-loop mechanism was investigated to achieve …
transfer was developed, and the human-in-the-loop mechanism was investigated to achieve …
A compliant force control scheme for industrial robot interactive operation
To meet the enormous demand for smart manufacturing, industrial robots are playing an
increasingly important role. For industrial operations such as grinding 3C products …
increasingly important role. For industrial operations such as grinding 3C products …
A Complaisant and Impact-Resistant Rigid–Flexible Controller for Physical Human–Robot Interaction Considering the Possible Interferences
F Zeng, X Hu, H Li, X Zhang - IEEE Transactions on Industrial …, 2025 - ieeexplore.ieee.org
In physical human–robot interaction (pHRI), guiding forces combined with impacts often
cause the robot to deviate from the intended human trajectory. To address this issue, a finite …
cause the robot to deviate from the intended human trajectory. To address this issue, a finite …
A Lower Limb Exoskeleton Adaptive Control Method Based on Model-free Reinforcement Learning and Improved Dynamic Movement Primitives
L Huang, J Zheng, Y Gao, Q Song, Y Liu - Journal of Intelligent & Robotic …, 2025 - Springer
Recent advancements in lower limb exoskeleton control have predominantly focused on
enhancing walking capabilities across diverse terrains, such as level ground, stairs, and …
enhancing walking capabilities across diverse terrains, such as level ground, stairs, and …