Deep reinforcement learning in smart manufacturing: A review and prospects
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
[HTML][HTML] Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
Deep reinforcement learning in production systems: a systematic literature review
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …
challenges for production systems. These not only have to cope with an increased product …
[HTML][HTML] A review on reinforcement learning for contact-rich robotic manipulation tasks
Í Elguea-Aguinaco, A Serrano-Muñoz… - Robotics and Computer …, 2023 - Elsevier
Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
A review of robotic assembly strategies for the full operation procedure: planning, execution and evaluation
Y Jiang, Z Huang, B Yang, W Yang - Robotics and Computer-Integrated …, 2022 - Elsevier
The application of robots in mechanical assembly increases the efficiency of industrial
production. With the requirements of flexible manufacturing, it has become a research …
production. With the requirements of flexible manufacturing, it has become a research …
Efficient sim-to-real transfer of contact-rich manipulation skills with online admittance residual learning
Learning contact-rich manipulation skills is essential. Such skills require the robots to
interact with the environment with feasible manipulation trajectories and suitable compliance …
interact with the environment with feasible manipulation trajectories and suitable compliance …
A review of deep reinforcement learning approaches for smart manufacturing in industry 4.0 and 5.0 framework
A del Real Torres, DS Andreiana, Á Ojeda Roldán… - Applied Sciences, 2022 - mdpi.com
In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
A review on UAV-based applications for plant disease detection and monitoring
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …
resource management, and environmentally friendly practices. Recent advances in remote …
Factory: Fast contact for robotic assembly
Robotic assembly is one of the oldest and most challenging applications of robotics. In other
areas of robotics, such as perception and grasping, simulation has rapidly accelerated …
areas of robotics, such as perception and grasping, simulation has rapidly accelerated …
Industreal: Transferring contact-rich assembly tasks from simulation to reality
Robotic assembly is a longstanding challenge, requiring contact-rich interaction and high
precision and accuracy. Many applications also require adaptivity to diverse parts, poses …
precision and accuracy. Many applications also require adaptivity to diverse parts, poses …