Robots and the Future of Conveyor and Conveying Equipment Manufacturing

Overview

The forward march of automation and robotics in the marketplace continues to revolutionize industries, notably the conveyor and conveying equipment manufacturing sector. This guide provides an outlook on the integration of robotics in this sector, backed by compelling statistics. It further examines the challenges it presents, while highlighting the technological solutions developed by 3Laws Robotics that aim to address them.

The Rise of Robots in Manufacturing

Automation has become a growing trend in the conveyor and conveying equipment manufacturing sector. A Mordor Intelligence report projects that the global conveyor systems market size will reach USD 7.58 billion by 2025, fueled by rapid industrialization and adoption of automation in manufacturing processes. Robots are critical to this expansion, providing enhanced efficiency, reliability, and precision over manual conveyance systems. A forecast from the International Federation of Robotics suggests that nearly 2.7 million industrial robots will be at work in factories worldwide by 2025, up from 2.4 million in 2019, driving the automation wave further.

Impact of Automated Conveyors

The incorporation of robotics in conveyor systems can significantly increase productivity and reduce costs. Studies suggest that automated systems can increase productivity by as much as 25% and reduce labor costs by up to 60%. They also pose less risk of repetitive strain injuries for workers than their manual counterparts. However, the transition towards greater automation presents challenges, particularly in terms of ensuring the safety and reliability of robotic systems, which remain top concerns for manufacturers.

3Laws Robotics and the Industrial Sector

With a focus on addressing safety and reliability issues in robotics, 3Laws Robotics has developed innovative solutions such as the 3Laws Supervisor. It offers industrial applications a mathematically provable safety system based on Control Barrier Functions (CBFs), a cutting-edge technology developed at Caltech.

VALID USE CASES: Warehouse automation has seen remarkable results using this software. An autonomous forklift customer achieved a 40% efficiency gain, resulting in a 6-month payback. The need for safe human-robot interaction, particularly for collaborative robotics solutions, has been addressed by 3Laws. Their reactive collision avoidance capabilities enable robots to function effectively even in dynamic and unpredictable environments.

Key Takeaways

● Robots play an increasingly pivotal role in the conveyor and conveying equipment manufacturing sector, with a growing global industrial robot population projected to reach 2.7 million by 2025.

● The adoption of automated conveyor systems can lead to a productivity increase up to 25% and labor cost reduction up to 60%, yet safety and reliability remain concerns.

● 3Laws Robotics provides innovative safety and reliability solutions for robotic systems. Its software, the 3Laws Supervisor, employs Control Barrier Functions technology to ensure mathematically provable safety.

● Real case proofs include improved efficiency in warehouse automation and effective navigation in dynamic environments, reducing downtime and enabling safer human-robot interactions.

About 3Laws Robotics

A leader in the field of robotics safety, 3Laws Robotics is spearheading innovation. Developed to address significant certification challenges faced by robotics companies, our software, 3Laws Supervisor, offers robust safety features and provides evidence of system robustness. Built on Control Barrier Functions technology from Caltech, our software is adaptable and can cater to diverse industry applications including warehouse automation, human-robot interactions, and operation in dynamic environments. 3Laws allows robots to operate closer to their peak capabilities while maintaining safety, demonstrating compatibility with popular robotics middleware such as ROS and ROS2. 3Laws offers proactive safety solutions that exceed traditional e-stop methods, embodying the future of safe and efficient robotics.






News in Robot Autonomy

News in Robot Autonomy