An Autonomous and Flexible Robotic Framework for Logistics Applications

Wahrmann, Daniel; Hildebrandt, Arne-Christoph; Schuetz, Christoph G.; Wittmann, Robert; Rixen, Daniel J.

doi:10.1007/s10846-017-0746-8

Cited by 37 publications

(20 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Use of robots to perform high-risk jobs and replacement of man for precision gain and productivity. BAHRIN et al, 2016., WAHRMANN et al, 2019 Additive manufacturing Product prototyping, printing units, spare parts on 3D printers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Industry 4.0 and the Circular Economy: Are These Integrated or Disjointed Concepts? A Research Agenda

Agudo

Júnior

Gobbo

2020

GEPROS

View full text Add to dashboard Cite

Purpose - To analyze whether the concepts of industry 4.0 and circular economy are integrated or disjointed, recognizing in the literature what the keywords are most frequent in this relationship and its occurrence. Design/methodology/approach – The research method was the bibliometric study and keyword study, in order to recognize which are the most latent actions and strategies in the study of integration. The VOSviewer software was used for the study of keywords. Findings - It is stated that the concepts of industry 4.0 and circular economy can be considered interconnected, with some limitations explored in the article, and also proposed future research opportunities on the topic. Originality/value - It contributes to business managers in the sense that it facilitates the understanding that industry 4.0 and the circular economy can be worked together. The result of the keywords will guide what skills, strategies, technologies and fundamentals the company should develop to make the circular economy effective, through industry 4.0. For academic research, another study was contributed on the integration of industry 4.0 and circular economy, which are few in the literature. Keywords were also mapped, which until then, had not been developed in existing integration articles, in addition to proposing a framework that can be transformed and signal research opportunities. Keywords - Industry 4.0; Circular Economy; Integration; Sustainability; Future research.

show abstract

Section: Introductionmentioning

confidence: 99%

“…FRANCIS; BIAN, 2019, WAHRMANN et al, 2019 Simulation and modeling Use of computational resource for simulation and creating models that replicate factory environments and parts. It can happen with the use of virtual reality.…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 and the Circular Economy: Are These Integrated or Disjointed Concepts? A Research Agenda

Agudo

Júnior

Gobbo

2020

GEPROS

View full text Add to dashboard Cite

show abstract

“…Autonomous vehicles (AVs) have been witnessed vigorous and fruitful in the last decade, with many applications in public transportation, logistics services, environmental health, disaster response, and space exploration [1][2][3][4][5]. Driving performance assessment (DPA) plays an essential role in building a robust AV system by providing feedback on the performance of an autonomous driver.…”

Section: Introductionmentioning

confidence: 99%

Driving Performance Assessment Based on Accurate Position Tracking

Song

Jiang

Song

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

A driving performance assessment (DPA) system has been proposed in this paper to evaluate drivers’ skills in training. The system is based on centimeter-level localization of the vehicles, thanks to differential BeiDou Navigation Satellite System (BDS). Given a vehicle’s dimensions, its envelopment has been discretized both temporally and spatially as binary images, while the training area is modeled as a grayscale image where the intensity denotes the penalty of the certain area in unit time. The performance index can be obtained from the summation of images along with time. Experiments have been conducted to demonstrate the accuracy of vehicle tracking and the effectiveness of the proposed assessment system.

show abstract

“…Next, this process is repeated whenever it is needed. More recently, robots are beginning to be self-sufficient and they are reaching a great level of autonomy to work without human intervention in unstructured scenarios or dynamics in which the kind of objects or their poses are unknown, for example in industrial applications as in [18] and in storage and logistic applications [19].…”

Section: Introductionmentioning

confidence: 99%

Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

Úbeda¹,

Zapata-Impata²,

Méndez³

et al. 2018

Preprint

View full text Add to dashboard Cite

This paper presents a system that merges computer vision and surface electromyography techniques to carry out grasping tasks. To perform this, the vision-driven system is used to compute pre-grasping poses of the robotic system based on the analysis of tridimensional object features. Then, the human operator can correct the pre-grasping pose of the robot using surface electromyographic signals from the forearm during wrist flexion and extension. Weak wrist flexions and extensions allow a fine adjustment of the robotic system to grasp the object and finally, when the operator considers that the grasping position is optimal, a strong flexion is performed to initiate the grasping of the object. The system has been tested with several subjects to check its performance showing a grasping accuracy of around 95% of the attempted grasps which increases by around a 9% the grasping accuracy of previous experiments in which electromyographic control was not implemented.

show abstract

An Autonomous and Flexible Robotic Framework for Logistics Applications

Cited by 37 publications

References 21 publications

Industry 4.0 and the Circular Economy: Are These Integrated or Disjointed Concepts? A Research Agenda

Industry 4.0 and the Circular Economy: Are These Integrated or Disjointed Concepts? A Research Agenda

Driving Performance Assessment Based on Accurate Position Tracking

Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

Contact Info

Product

Resources

About