Dual-arm cobot box tilting task exploration by theoretical approach
The use of collaborative robots, or cobots, has increased in popularity in manufacturing, especially with Industry 4.0. Dual-arm cobots have two robotic arms that work together to perform tasks with more flexibility than single-arm manipulation. However, many cobot applications still use single-arm...
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2023
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sg-ntu-dr.10356-1684572023-06-17T16:51:02Z Dual-arm cobot box tilting task exploration by theoretical approach Ma, Jie Ying Domenico Campolo School of Mechanical and Aerospace Engineering d.campolo@ntu.edu.sg Engineering::Mechanical engineering The use of collaborative robots, or cobots, has increased in popularity in manufacturing, especially with Industry 4.0. Dual-arm cobots have two robotic arms that work together to perform tasks with more flexibility than single-arm manipulation. However, many cobot applications still use single-arm manipulation, limiting their abilities. This constraint has motivated the exploration and development of dual-arm cobots, which can execute more complicated operations and operate in a more convenient way. One challenging task for dual-arm cobots is box tilting, which is crucial in manufacturing, particularly in the packaging and logistics industries. The optimal geometric path prediction for the dual-arm cobot to perform box tilting with maximizing the efficiency of force input is a critical research problem. In this thesis, we aim to address this challenge by developing a mathematical model using a theoretical approach to determine the optimal geometric path for box tilting. The proposed model will provide a guide for dual-arm cobot applications in manufacturing, particularly for box tilting operations, leading to more efficient and cost-effective manufacturing. Bachelor of Engineering (Mechanical Engineering) 2023-06-13T02:17:24Z 2023-06-13T02:17:24Z 2023 Final Year Project (FYP) Ma, J. Y. (2023). Dual-arm cobot box tilting task exploration by theoretical approach. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168457 https://hdl.handle.net/10356/168457 en B335 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Ma, Jie Ying Dual-arm cobot box tilting task exploration by theoretical approach |
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The use of collaborative robots, or cobots, has increased in popularity in manufacturing, especially with Industry 4.0. Dual-arm cobots have two robotic arms that work together to perform tasks with more flexibility than single-arm manipulation. However, many cobot applications still use single-arm manipulation, limiting their abilities. This constraint has motivated the exploration and development of dual-arm cobots, which can execute more complicated operations and operate in a more convenient way. One challenging task for dual-arm cobots is box tilting, which is crucial in manufacturing, particularly in the packaging and logistics industries. The optimal geometric path prediction for the dual-arm cobot to perform box tilting with maximizing the efficiency of force input is a critical research problem. In this thesis, we aim to address this challenge by developing a mathematical model using a theoretical approach to determine the optimal geometric path for box tilting. The proposed model will provide a guide for dual-arm cobot applications in manufacturing, particularly for box tilting operations, leading to more efficient and cost-effective manufacturing. |
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Domenico Campolo |
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Domenico Campolo Ma, Jie Ying |
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Final Year Project |
author |
Ma, Jie Ying |
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Ma, Jie Ying |
title |
Dual-arm cobot box tilting task exploration by theoretical approach |
title_short |
Dual-arm cobot box tilting task exploration by theoretical approach |
title_full |
Dual-arm cobot box tilting task exploration by theoretical approach |
title_fullStr |
Dual-arm cobot box tilting task exploration by theoretical approach |
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Dual-arm cobot box tilting task exploration by theoretical approach |
title_sort |
dual-arm cobot box tilting task exploration by theoretical approach |
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Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/168457 |
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