Autonomous driving paper index
The Impact of Collaborative Robots in Manufacturing
One-line summary
A Systematic Review of Collaborative Robots in Manufacturing Collaborative robots (cobots) revolutionize modern manufacturing through their ability to collaborate with people in the same workspace.
Engineering notes
Research insights include a median 28% increase in productivity, a 30-72% decrease in musculoskeletal load, a 18% improvement in defect rate, and 18-36 months payback period for investment, all significantly outperforming traditional industrial robots.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
A Systematic Review of Collaborative Robots in Manufacturing Collaborative robots (cobots) revolutionize modern manufacturing through their ability to collaborate with people in the same workspace. Factors promoting the use of cobots include a shortage of workforce, customization needs, regulations, and falling prices of hardware components. In accordance with PRISMA 2020 guidelines, this review involved screening 3,842 references across four leading databases and included 87 peer-reviewed empirical papers covering 2015-2025, focusing on cobots in automotive, electronics, aerospace, pharmaceuticals, textiles, and food manufacturing. Three areas of cobot applications emerged, namely, assembly and quality inspection (41%), material handling and intralogistics (33%), and process monitoring and maintenance (26%). Research insights include a median 28% increase in productivity, a 30-72% decrease in musculoskeletal load, a 18% improvement in defect rate, and 18-36 months payback period for investment, all significantly outperforming traditional industrial robots. The major barriers to wider use of cobots are associated with the difficulties in programming, restrictions on payload and speed, sensing limitations in dynamic environments, problems with integration with existing processes and equipment, and concerns about job losses. Based on these insights, this review offers suggestions for four future research directions: integration of artificial intelligence and machine learning, advanced multisensory capabilities, implementing digital twins, and regulation of AI-enabled cobots. The current global market size of collaborative robots is estimated at USD 1.9 billion in 2023 and is forecast to reach USD 23.6 billion by 2030 (CAGR: 43%).
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