Search for dissertations about: "Lihui Wang"
Showing result 1 - 5 of 10 swedish dissertations containing the words Lihui Wang.
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1. Learning-based Control for 4D Printing and Soft Robotics
Abstract : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. READ MORE
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2. A Novel Method for Adaptive Control of Manufacturing Equipment in Cloud Environments
Abstract : The ability to adaptively control manufacturing equipment, both in local and distributed environments, is becoming increasingly more important for many manufacturing companies.One important reason for this is that manufacturing companies are facing increasing levels of changes, variations and uncertainty, caused by both internal and external factors, which can negatively impact their performance. READ MORE
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3. Toward a Sustainable Human-Robot Collaborative Production Environment
Abstract : This PhD study aimed to address the sustainability issues of the robotic systems from the environmental and social aspects. During the research, three approaches were developed: the first one an online programming-free model-driven system that utilises web-based distributed human-robot collaboration architecture to perform distant assembly operations. READ MORE
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4. Augmented reality smart glasses as assembly operator support : A framework for enabling industrial integration
Abstract : Manufacturing industry is seeing vast improvements in productivity and flexibility as the fourth industrial revolution continues to unfold. However, despite improved computation and automation capacity, there is still a role for operators to play in Industry 4.0, mirrored in the concept of Operator 4.0. READ MORE
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5. Introducing a procedural knowledge model for enhancing industrial process adaptiveness
Abstract : Industrial processes are mainly based on procedural knowledge that must be continually elicited from experienced operators and learned by novice operators. In the context of Industry 4. READ MORE