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Control of Human-machine cooperative cart by region attractor to achieve both obstacle avoidance and trajectory tracking
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- OKADA Masafumi
- Department of Mechanical Engineering, Tokyo Institute of Technology
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- YOU Yalun
- Department of Mechanical Engineering, Tokyo Institute of Technology
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- MASUYA Ken
- Department of Mechanical Engineering, Tokyo Institute of Technology
Bibliographic Information
- Other Title
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- 障害物回避と軌道への収束のための領域アトラクタによる人機械協調カート制御
- Published
- 2022
- Resource Type
- journal article
- DOI
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- 10.1299/transjsme.22-00012
- 10.1299/jsmermd.2021.2p2-c12
- Publisher
- The Japan Society of Mechanical Engineers
Description
<p>In this paper, we propose a control system design method for a human-machine cooperative system in which a human and machine cooperate to propel a cart to a reference trajectory. In the previously proposed method, the human plays the role of recognizing the environment and determining the propulsive force, while the machine determines the steering angle based on the position and posture of the cart, using a vector field with the reference trajectory as the orbit attractor. However, since this method cannot avoid obstacles on the trajectory, we extend it to a region attractor. By setting an index variable that changes depending on human input, the vector field is designed in the extended dimensional space including the index variable, and the cart can avoid obstacles by moving within the region defined by the reference trajectory with its parallel trajectory depending on human input. In this paper, we describe (1) the design method of the reference trajectory and the parallel trajectory considering the workspace of the steering and the distance between the cart and the wall, (2) the design method of the region attractor in the extended dimension including the index variable, and (3) the experimental verification of the proposed method.</p>
Journal
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- Transactions of the JSME (in Japanese)
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Transactions of the JSME (in Japanese) 88 (912), 22-00012-22-00012, 2022
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390574666166291584
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- NII Article ID
- 130008135526
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- ISSN
- 21879761
- 24243124
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed
