Influence of a Compatible Design on Physical Human-Robot Interaction Force: a Case Study of a Self-Adapting Lower-Limb Exoskeleton Mechanism

2019 ◽  
Vol 98 (2) ◽  
pp. 525-538 ◽  
Author(s):  
Jianfeng Li ◽  
Shiping Zuo ◽  
Chenghui Xu ◽  
Leiyu Zhang ◽  
Mingjie Dong ◽  
...  
Keyword(s):  
Lower Limb ◽  
Interaction Force ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Lower Limb Exoskeleton

scholarly journals Control and Implementation of 2-DOF Lower Limb Exoskeleton Experiment Platform

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Zhenlei Chen ◽  
Qing Guo ◽  
Huiyu Xiong ◽  
Dan Jiang ◽  
Yao Yan
Keyword(s):  
Lower Limb ◽  
Degrees Of Freedom ◽  
Position Control ◽  
Interaction Force ◽  
Human Robot Interaction ◽  
Detection Accuracy ◽  
Robot Interaction ◽  
Experiment Platform ◽  
Lower Limb Exoskeleton

AbstractIn this study, a humanoid prototype of 2-DOF (degrees of freedom) lower limb exoskeleton is introduced to evaluate the wearable comfortable effect between person and exoskeleton. To improve the detection accuracy of the human-robot interaction torque, a BPNN (backpropagation neural networks) is proposed to estimate this interaction force and to compensate for the measurement error of the 3D-force/torque sensor. Meanwhile, the backstepping controller is designed to realize the exoskeleton's passive position control, which means that the person passively adapts to the exoskeleton. On the other hand, a variable admittance controller is used to implement the exoskeleton's active follow-up control, which means that the person's motion is motivated by his/her intention and the exoskeleton control tries best to improve the human-robot wearable comfortable performance. To improve the wearable comfortable effect, serval regular gait tasks with different admittance parameters and step frequencies are statistically performed to obtain the optimal admittance control parameters. Finally, the BPNN compensation algorithm and two controllers are verified by the experimental exoskeleton prototype with human-robot cooperative motion.

scholarly journals Human–Robot Interaction for Improving Fuselage Assembly Tasks: A Case Study

2020 ◽  
Vol 10 (17) ◽  
pp. 5757
Author(s):  
Elena Laudante ◽  
Alessandro Greco ◽  
Mario Caterino ◽  
Marcello Fera
Keyword(s):  
Risk Index ◽  
Human Action ◽  
Human Robot Interaction ◽  
Production Performance ◽  
Robot Interaction ◽  
Speed Increase ◽  
Human Operators ◽  
Assembly Performance ◽  
Assembly Tasks

In current industrial systems, automation is a very important aspect for assessing manufacturing production performance related to working times, accuracy of operations and quality. In particular, the introduction of a robotic system in the working area should guarantee some improvements, such as risks reduction for human operators, better quality results and a speed increase for production processes. In this context, human action remains still necessary to carry out part of the subtasks, as in the case of composites assembly processes. This study aims at presenting a case study regarding the reorganization of the working activity carried out in workstation in which a composite fuselage panel is assembled in order to demonstrate, by means of simulation tool, that some of the advantages previously listed can be achieved also in aerospace industry. In particular, an entire working process for composite fuselage panel assembling will be simulated and analyzed in order to demonstrate and verify the applicability and effectiveness of human–robot interaction (HRI), focusing on working times and ergonomics and respecting the constraints imposed by standards ISO 10218 and ISO TS 15066. Results show the effectiveness of HRI both in terms of assembly performance, by reducing working times and ergonomics—for which the simulation provides a very low risk index.

Enhancing Human Robot Interaction Through Social Network Interfaces: A Case Study

2015 ◽  
pp. 729-740 ◽  
Author(s):  
Laura Fiorini ◽  
Raffaele Limosani ◽  
Raffaele Esposito ◽  
Alessandro Manzi ◽  
Alessandra Moschetti ◽  
...  
Keyword(s):  
Social Network ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Network Interfaces
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