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[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 …
[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 …
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 …
Challenges and outlook in robotic manipulation of deformable objects
J Zhu, A Cherubini, C Dune… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
Deformable object manipulation (DOM) is an emerging research problem in robotics. The
ability to manipulate deformable objects endows robots with higher autonomy and promises …
ability to manipulate deformable objects endows robots with higher autonomy and promises …
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach
Empowered by the advanced cognitive computing, industrial Internet-of-Things, and data
analytics techniques, today's smart manufacturing systems are ever-increasingly equipped …
analytics techniques, today's smart manufacturing systems are ever-increasingly equipped …
Multistage cable routing through hierarchical imitation learning
We study the problem of learning to perform multistage robotic manipulation tasks, with
applications to cable routing, where the robot must route a cable through a series of clips …
applications to cable routing, where the robot must route a cable through a series of clips …
[HTML][HTML] Variable compliance control for robotic peg-in-hole assembly: A deep-reinforcement-learning approach
CC Beltran-Hernandez, D Petit, IG Ramirez-Alpizar… - Applied Sciences, 2020 - mdpi.com
Featured Application Assembly tasks with industrial robot manipulators. Abstract Industrial
robot manipulators are playing a significant role in modern manufacturing industries …
robot manipulators are playing a significant role in modern manufacturing industries …
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 …
Reinforcement learning on variable impedance controller for high-precision robotic assembly
J Luo, E Solowjow, C Wen, JA Ojea… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Precise robotic manipulation skills are desirable in many industrial settings, reinforcement
learning (RL) methods hold the promise of acquiring these skills autonomously. In this …
learning (RL) methods hold the promise of acquiring these skills autonomously. In this …
Tactile-rl for insertion: Generalization to objects of unknown geometry
Object insertion is a classic contact-rich manipulation task. The task remains challenging,
especially when considering general objects of unknown geometry, which significantly limits …
especially when considering general objects of unknown geometry, which significantly limits …