Deep reinforcement learning in smart manufacturing: A review and prospects

C Li, P Zheng, Y Yin, B Wang, L Wang - CIRP Journal of Manufacturing …, 2023 - Elsevier
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …

Deep reinforcement learning in production systems: a systematic literature review

M Panzer, B Bender - International Journal of Production Research, 2022 - Taylor & Francis
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …

A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools

J Lv, X Li, Y Sun, Y Zheng, J Bao - Robotics and Computer-Integrated …, 2023 - Elsevier
Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …

Recent developments and challenges of 3D-printed construction: A review of research fronts

R Guamán-Rivera, A Martínez-Rocamora… - Buildings, 2022 - mdpi.com
In the last few years, scattered experiences of the application of additive manufacturing in
the construction of buildings using 3D printing with robots or automated equipment have …

A G3 continuous tool path smoothing method for 5-axis CNC machining

S Sun, Y Altintas - CIRP Journal of Manufacturing Science and …, 2021 - Elsevier
The chain of short linear tool path segments is the most common form for the five-axis
machining by Computer Numerical Control (CNC) machines. The connection points of the …

Path smoothing and feed rate planning for robotic curved layer additive manufacturing

F Xie, L Chen, Z Li, K Tang - Robotics and Computer-Integrated …, 2020 - Elsevier
Robotic curved layer additive manufacturing (aka multi-axis 3D printing) has been gaining
attention recently owing to its simplicity and unique ability of printing complex shapes …

Artificial intelligence enabled smart machining and machine tools

YS Chuo, JW Lee, CH Mun, IW Noh, S Rezvani… - Journal of Mechanical …, 2022 - Springer
Artificial intelligence (AI) in machine tools offers diverse advantages, including learning and
optimizing machining processes, compensating errors, saving energy, and preventing …

一种并联机器人轨迹规划算法研究.

朱大昌, 盘意华, 杜宝林, 吴光毅… - Machine Tool & …, 2023 - search.ebscohost.com
针对并联机器人工作空间微小线段间拐角处产生的冲击与振动问题, 提出一种基于笛卡尔空间与
关节空间相结合的机器人联合空间轨迹规划方法. 在笛卡尔空间中采用三次非均匀有理B …

A visual path-following learning approach for industrial robots using DRL

A Maldonado-Ramirez, R Rios-Cabrera… - Robotics and Computer …, 2021 - Elsevier
Manufacturing companies are in constant need for improved agility. An adequate
combination of speed, responsiveness, and business agility to cope with fluctuating raw …

Global smoothing of short line segment toolpaths by control-point-assigning-based geometric smoothing and FIR filtering-based motion smoothing

DN Song, JW Ma, YG Zhong, JJ Yao - Mechanical Systems and Signal …, 2021 - Elsevier
The toolpaths for curved surfaces generated by most existing computer-aided-manufacturing
applications are always consisted by short line segments. Due to the first-order discontinuity …