Manufacturing has been one of the key areas that support and influence a nations economy since the 18th century. Being the primary driving force in economic growth, manufacturing constantly serves as the foundation of and contributes to other industries. In the past centuries, manufacturing has contributed to the modern civilisation and created momentum that is continuously driving todays economy. Despite various revolutionary changes and innovations in the 20th century that contributed to manufacturing advancements, we are facing new challenges when striving to achieve greater success in winning global competitions. Machines and robots, as the constituent components in manufacturing, have contributed significantly to the success of advanced manufacturing. After evolving from the initial mechanisation era where mechanical devices were created to replace human labours to the later automation era where control devices were invented to replace human operations, the history of machines has now entered into the modern era of autonomisation where intelligent devices are being developed in an attempt to eventually replace human decision making. While machines are becoming more and more intelligent through integration with new technologies including sensors, controls, computers and even the Internet, machine structures and theories have also advanced, most noticeably in the area of parallel kinematic machines and micro machines.

Lihui Wang is a professor of virtual manufacturing at the University of Skövdes Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada.His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems.Dr Fengfeng (Jeff) Xi, is a Professor at Ryerson University, Canada, and an Adjunct Professor at the East China Jiao-Tong University. His research interests are in the area of manufacturing and automation.

Appropriate Design of Parallel Manipulators.- Gravity Compensation, Static Balancing and Dynamic Balancing of Parallel Mechanisms.- A Unified Methodology for Mobility Analysis Based on Screw Theory.- The Tau PKM Structures.- Layout and Force Optimisation in Cable-driven Parallel Manipulators.- A Tripod-based Polishing/Deburring Machine.- Design and Analysis of a Modular Hybrid Parallel-Serial Manipulator for Robotised Deburring Applications.- Design of a Reconfigurable Tripod Machine System and Its Application in Web-based Machining.- Arch-type Reconfigurable Machine Tool.- Walking Drive Enabled Ultra-precision Positioners.- An XY?Z Planar Motion Stage System Driven by a Surface Motor for Precision Positioning.- Design and Analysis of Micro/Meso-scale Machine Tools.- Micro-CMM.- Laser-assisted Mechanical Micromachining.- Micro Assembly Technology and System.