Cobot programming for collaborative industrial tasks: An overview

S El Zaatari, M Marei, W Li, Z Usman - Robotics and Autonomous Systems, 2019 - Elsevier
Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

Survey of imitation learning for robotic manipulation

B Fang, S Jia, D Guo, M Xu, S Wen, F Sun - International Journal of …, 2019 - Springer
With the development of robotics, the application of robots has gradually evolved from
industrial scenes to more intelligent service scenarios. For multitasking operations of robots …

Review of deep reinforcement learning-based object grasping: Techniques, open challenges, and recommendations

MQ Mohammed, KL Chung, CS Chyi - IEEE Access, 2020 - ieeexplore.ieee.org
The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control

V Rajendran, B Debnath, S Mghames… - Journal of Field …, 2024 - Wiley Online Library
This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

Modular autonomous strawberry picking robotic system

S Parsa, B Debnath, MA Khan, AG E - Journal of Field Robotics, 2024 - Wiley Online Library
Challenges in strawberry picking made selective harvesting robotic technology very
demanding. However, the selective harvesting of strawberries is a complicated robotic task …

Learning from demonstrations in human–robot collaborative scenarios: A survey

AD Sosa-Ceron, HG Gonzalez-Hernandez… - Robotics, 2022 - mdpi.com
Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained
attention within the smart manufacturing context. To address changes within manufacturing …

[HTML][HTML] Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, CP Lim… - Information …, 2024 - Elsevier
Automated industries lead to high quality production, lower manufacturing cost and better
utilization of human resources. Robotic manipulator arms have major role in the automation …

Technology jump in the industry: human–robot cooperation in production

Z Dobra, KS Dhir - Industrial Robot: the international journal of …, 2020 - emerald.com
Purpose Recent years have seen a technological change, Industry 4.0, in the manufacturing
industry. Human–robot cooperation, a new application, is increasing and facilitating …

Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision

W Deng, Q Liu, F Zhao, DT Pham, J Hu, Y Wang… - Robotics and Computer …, 2024 - Elsevier
To develop vision systems for autonomous robotic disassembly, this paper presents a dual-
loop implementation architecture that enables a robot vision system to learn from human …

Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review

VH Moreno, S Jansing, M Polikarpov… - Robotics and Computer …, 2024 - Elsevier
Learning from demonstration is one of the most promising methods to counteract the
challenging long-term trends in repetitive industrial assembly. It offers not only a …