References of "Wangmanaopituk, Suparchoek"
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See detailA Nonlinear Model-Predictive Motion Planning and Control System for Multi-Robots in a Microproduction System with Safety Constraints and a Global Long-Term Solution
Wangmanaopituk, Suparchoek; Voos, Holger UL; Kongprawchnon, Waree

in Kasetsart Journal. Natural Sciences (2014), 48(2), 283-293

The manufacturing of microsystems such as micromotors and micropumps among other examples is a very important emerging market. One big challenge in microproduction is mass customization, that is, the ... [more ▼]

The manufacturing of microsystems such as micromotors and micropumps among other examples is a very important emerging market. One big challenge in microproduction is mass customization, that is, the automated production of a large variety of products that are highly adapted to special customer needs in small batch sizes. These requirements call for a highly flexible manufacturing system. This study focuses on the multi-robot coordination of the resulting flexible microproduction system which is solved here by the application of a multi-agent system. Additionally, all robots additionally applied the proposed nonlinear model predictive control approach on a local real-time level to solve problems associated with path-following and collision avoidance in parallel, while also considering differential constraints on single robots, such as velocity constraints, in this specific application. The global longterm motion planning approach was also considered as an optimization problem. [less ▲]

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See detailMultiagent-Based Flexible Automation of Microproduction Systems Including Mobile Transport Robots
Voos, Holger UL; Wangmanaopituk, Suparchoek

in 18th IEEE Int. Conference on Emerging Technologies and Factory Automation ETFA 2013, Cagliari, Sept. 2013 (2013, September)

In microproduction, i.e. in the production and assembly of micro-scale components and products, fully automated systems hardly exist so far. Besides the requirements of handling small parts with extreme ... [more ▼]

In microproduction, i.e. in the production and assembly of micro-scale components and products, fully automated systems hardly exist so far. Besides the requirements of handling small parts with extreme precision, small batch sizes of highly customized products are among the main challenges. Therefore, economic microproduction requires very flexible production systems with a high level of automation. This contribution proposes a new concept of such a system that provides two main innovations. First, the proposed concept integrates stationary production machines and mobile transport robots in order to configure rapidly changing production processes in real-time. Besides this distributed flexible system structure, also the overall automation system consisting of the Manufacturing Execution System (MES) and the shop floor control is designed in a distributed form as a multiagent system. This distributed automation system is especially suited to automate flexible production scheduling and resource allocation processes but also integrates the multi-robot transport system. [less ▲]

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See detailCollaborative Nonlinear Model-Predictive Motion Planning and Control of Mobile Transport Robots for a Highly Flexible Production System
Wangmanaopituk, Suparchoek; Voos, Holger UL; Kongprawechnon, Waree

in ScienceAsia (2010), 36(4), 333-341

This study is based on a new approach for an advanced microproduction system or highly flexible production systems where all necessary production and assembly processes are connected in a very flexible ... [more ▼]

This study is based on a new approach for an advanced microproduction system or highly flexible production systems where all necessary production and assembly processes are connected in a very flexible way using autonomous mobile transport and handling robots. Each robot has to follow its planned paths while avoiding collisions with other robots. In addition, problem-specific constraints for a defined microproduction system, such as limitations of the velocity and accelerations of the robots, have to be fulfilled. This paper focuses on a two-level model predictive optimizing approach. On a global long-term level, simple dynamic models of the robots are used to compute optimal paths under differential constraints where a safety distance between all robots is achieved. Since many uncertainties and unforeseen events could occur, all robots also use a nonlinear model predictive control approach on a local real-time level. This control approach solves the path following and the collision avoidance problems in parallel, while also taking into account differential constraints of the single robots. [less ▲]

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