This study addresses one solution for determining the optimal delivery of a box. The delivering task is divided into five subtasks: lifting, initial transition step, carrying, final transition step, and unloading. Each task is simulated independently with appropriate boundary conditions so that they can be stitched together to render a complete delivering task. Each task is formulated as an optimization problem. The design variables are joint angle profiles. For lifting and carrying tasks, the objective function is the dynamic effort. In contrast, for transition task, the objective function is the combination of dynamic effort and joint angle discomfort. For unloading, it is a reverse process of lifting motion. A viable optimization motion is generated from the simulation results. The joint torque, joint angle, and ground reactive forces are analyzed for the delivering motion which is also empirically validated.
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ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 26–29, 2018
Quebec City, Quebec, Canada
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5173-9
PROCEEDINGS PAPER
Human Box Delivering Simulation by Subtask Division
Paul Owens,
Paul Owens
University of Alaska Fairbanks, Fairbanks, AK
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Yujiang Xiang
Yujiang Xiang
University of Alaska Fairbanks, Fairbanks, AK
Search for other works by this author on:
Paul Owens
University of Alaska Fairbanks, Fairbanks, AK
Yujiang Xiang
University of Alaska Fairbanks, Fairbanks, AK
Paper No:
DETC2018-86195, V01BT02A008; 5 pages
Published Online:
November 2, 2018
Citation
Owens, P, & Xiang, Y. "Human Box Delivering Simulation by Subtask Division." Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1B: 38th Computers and Information in Engineering Conference. Quebec City, Quebec, Canada. August 26–29, 2018. V01BT02A008. ASME. https://doi.org/10.1115/DETC2018-86195
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