publications

Abstract

The mobile manipulator is a relatively recent development in the robotics domain. It is a type of robot system that extends the manipulation capabilities of a robotic arm by the mobility capabilities of a mobile platform. As a result, mobile manipulators promise to provide a wider usage of manipulators (for example, by extending their reach) and to enable automation of use cases that are still manually performed. They can, for instance, automate repetitive tasks, freeing human workers to focus on more valuable tasks. They can also be deployed to perform dangerous or difficult tasks, reducing the risk of workplace injuries. Additionally, using mobile manipulators can help meet the growing demand for fast and flexible production processes, enabling them to better compete in a rapidly changing market. However, integrating these systems bears complexity, high acquisition costs, and unsolved safety and security challenges. Therefore, this new approach is only beginning to be adopted in the manufacturing industry. Especially small and medium-sized companies (SMEs) suffer from these challenges, as they usually have fewer resources. However, mobile manipulators are a valuable tool to enhance their competitiveness and profitability in various industries. In order to unleash these benefits, this paper provides a comprehensive review of application cases of mobile manipulators within smart factory setups. It focuses on specific requirements and advantages for SMEs.

Abstract

Artificial Intelligence has massive potential for improving recycling processes. This mini-review article investigates how robots and artificial intelligence can be used to sort plastics for improved recycling processes. The first focus is identifying plastic from municipal waste (from household and household-type industries) through the integration of computer vision and sensor fusion. The next step uses this data to increase the yield of already existing automated sorting plants. The second focus addresses the processes. Here, classic methods of automation analysis are applied to develop micro-automation solutions for the plastic recycling industry, for example, by using collaborative robots. As manual sorting stations are currently part of the plant, the project targets the intelligent assistance of human workers by directly highlighting relevant objects through data in the sorting process. Finally, as a third focus, a “cockpit” for the data in the entire process is envisioned to facilitate human supervision and informed decision-making. This paper provides an overview of the current state of the art and formulates concrete usage scenarios. When real applications are built for developed scenarios, the development and implementation steps must be accompanied by a continuous life cycle and cost analysis to evaluate the ecological and economic impact. As part of an overall responsible research and innovation approach, social aspects and rebound effects need also be the subjects of investigation.