This Special Section is intended to provide a platform for sharing and presenting new research and solutions for Reconfigurable Mechanisms and Robots in theory and design. With strong demand on flexible manufacturing, versatile operations, and fast-changing application conditions, advanced robotic and machine systems are expected to be smartly reconfigurable to adapt to new needs. This evolution has led to worldwide research interest in developing reconfigurable mechanisms and robots as representative mechanical intelligent systems, which have the ability to change their mobility, configurations, kinematics, and dynamics performance for various application scenarios in industrial automation, healthcare, field exploration, maintenance, domestic operations, human assisting, and augmentations.
Based on those developments and following successful completions in London (2009), Tianjin (2012), Beijing (2015), and Delft (2018), the 5th IEEE/IFToMM International Conference on Reconfigurable Mechanisms and Robots (ReMAR 2021) was held in Toronto, Canada on August 12-14, 2021. This highly inspiring event brought together researchers from a variety of research areas pertaining to reconfigurable mechanisms and robots and provides the basis for this Call for Papers. Together with the presentations in this conference, it is also noted that extended manuscripts of conference papers published elsewhere (including other ASME conferences) that fit the scope of this Special Section were also welcome. We were also open to new submissions in response to the Call for Papers.
Special Section Editors
Dongming Gan, Polytechnic Institute, Purdue University, USA, email@example.com
Stéphane Caro, Robots and Machines for Manufacturing, Society and Services Team / IRT Jules Verne (MAD), National Center for Scientific Research (CNRS), France, firstname.lastname@example.org
Guimin Chen, State Key Laboratory for Manufacturing Systems Engineering and Shaanxi Key Lab of Intelligent Robots, Xi’an Jiaotong University, China, email@example.com
Scott Nokleby, Automotive, Mechanical, and Manufacturing Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Canada, firstname.lastname@example.org
Jian S. Dai, Department of Engineering, School of Natural, Mathematical, and Engineering Sciences, King’s College London, UK, email@example.com