Soft industrial robots – Presented by Dr.-Ing. Martin Manns, Universität Siegen, FAMS – Chair for Manufacturing Automation and Assembly

Soft industrial robots – Presented by Dr.-Ing. Martin Manns, Universität Siegen, FAMS – Chair for Manufacturing Automation and Assembly at the Intelligent Sensor Networks Conference, special edition, 23 May 2017, Messe Düsseldorf Congress Center, Düsseldorf , Germany.

Industrial robots are finding entrance to new fields of manufacturing and assembly applications because their cost is decreasing. At the same time, uncertain market demands make unpredictable and rapid changes in product design more likely. This risk limits robotic applications in assembly settings because gripper design for material handling depends on pre-known part geometry and additional grippers are costly. In the presentation, different approaches to more flexible grippers made from soft materials using additive manufacturing technologies are presented. Benefits and limitations of different forms of grippers are discussed and an outlook towards potential applications in production automation is given.

About Univ.-Prof. Dr.-Ing. Martin Manns
Univ.-Prof. Dr.-Ing. Martin Manns leads the Chair for Manufacturing Automation and Assembly (FAMS) at the University of Siegen since 2016. His main research interest is how to keep production and assembly competitive in high-wage countries. Professor Manns studied business and industrial engineering at the University of Karlsruhe, received his doctorate degree in mechanical engineering at the University of Hanover and worked as a post-doctorate researcher at the University of Windsor Ontario, Canada. His industrial experience comprises positions at SIG positec BERGERLAHR GmbH, Henkel AG & Co. KGaA and Daimler AG.

About  Universität Siegen, FAMS – Chair for Manufacturing Automation and Assembly
The Chair for Manufacturing Automation and Assembly (FAMS) is part of the Institute for Production Technology at the University of Siegen. The research focus is on methods for recording and modeling of human work processes in assembly environments, the assembly of additively produced parts as well as new robotic systems.