Lifting Objects with Power-Assist: Weight-Perception-Based Force Control Concepts to Improve Maneuverability

被引:5
|
作者
Rahman, S. M. Mizanoor [1 ]
Ikeura, Ryojun
Hayakawa, Soichiro
Yu, Haoyong [1 ]
机构
[1] Natl Univ Singapore, Fac Engn, Div Bioengn, Singapore, Singapore
来源
MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2012年 / 2-3卷
关键词
Power Assist Robot; Lifting Objects; Human; Weight Perception; Maneuverability; Force Control; Position Control; Safe Human-Robot Interaction; Industry;
D O I
10.4028/www.scientific.net/AEF.2-3.277
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We developed a 1-DOF power assist robot system to lift objects of different sizes by human subjects. We adopted a hypothesis that weight perception due to inertia might be different from that due to gravity when lifting an object with a power assist robot because the human feels a difference between the actual weight and the perceived weight of the object. We included this hypothesis in the robot dynamics. We then discussed the suitability of force control for the robot for lifting objects and developed several weight-perception-based force control strategies. These force control strategies may be compared to previously developed position control strategies, and the comparison results may help determine appropriate control for the robot to achieve desired maneuverability. The results, as a whole, may help develop human-friendly power assist devices to handle heavy objects in various industries.
引用
收藏
页码:277 / 280
页数:4
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