Collaborative Robot Risk of Passage Among Dynamic Obstacles

2021 ◽  
Author(s):  
Jared T. Flowers ◽  
Gloria J. Wiens
Keyword(s):  
Industry 4.0 ◽  
Material Handling ◽  
Future Time ◽  
Cycle Times ◽  
Robot Trajectory ◽  
Collaborative Interactions ◽  
Collaborative Robot ◽  
Smart Factories ◽  
Factories Of The Future ◽  
Novel Algorithm

Abstract Industry 4.0 projects ubiquitous collaborative robots in smart factories of the future, particularly in assembly and material handling. To ensure efficient and safe human-robot collaborative interactions, this paper presents a novel algorithm for estimating Risk of Passage (ROP) a robot incurs by passing between dynamic obstacles (humans, moving equipment, etc.). This paper posits that robot trajectory durations will be shorter and safer if the robot can react proactively to predicted collision between a robot and human worker before it occurs, compared to reacting when it is imminent. I.e., if the risk that obstacles may prohibit robot passage at a future time in the robot’s trajectory is greater than a user defined risk limit, then an Obstacle Pair Volume (OPV), encompassing the obstacles at that time, is added to the planning scene. Results found from simulation show that an ROP algorithm can be trained in ∼120 workcell cycles. Further, it is demonstrated that when a trained ROP algorithm introduces an OPV, trajectory durations are shorter compared to those avoiding obstacles without the introduction of an OPV. The use of ROP estimation with addition of OPV allows workcells to operate proactively smoother with shorter cycle times in the presence of unforeseen obstacles.

scholarly journals A Dual-arm Collaborative Robot System for the Smart Factories of the Future

2019 ◽  
Vol 38 ◽  
pp. 333-340 ◽  
Author(s):  
Jens F. Buhl ◽  
Rune Grønhøj ◽  
Jan K. Jørgensen ◽  
Guilherme Mateus ◽  
Daniela Pinto ◽  
...  
Keyword(s):  
Robot System ◽  
The Future ◽  
Collaborative Robot ◽  
Smart Factories ◽  
Dual Arm ◽  
Factories Of The Future

scholarly journals IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

2021 ◽  
Vol 2021 (6) ◽  
pp. 5475-5480
Author(s):  
STEFAN GRUSHKO ◽  
◽  
ALES VYSOCKY ◽  
JIRI SUDER ◽  
LADISLAV GLOGAR ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Haptic Feedback ◽  
Industrial Applications ◽  
Task Completion ◽  
Current Position ◽  
Manufacturing Automation ◽  
Robot Trajectory ◽  
Human Robot Collaboration ◽  
Collaborative Robot ◽  
Human Awareness

Human-robot collaboration is a widespread topic within the concept of Industry 4.0. Such collaboration brings new opportunities to improve ergonomics and innovative options for manufacturing automation; however, most of the modern collaborative industrial applications are limited by the fact that neither collaborative side is fully aware of the partner: the human operator may not see the robot movement due to own engagement in the work process, and the collaborative robot simply has no means of knowing the position of the operator. Dynamic replanning of the robot trajectory with respect to the operator's current position can increase the efficiency and safety of cooperation since the robot will be able to avoid collisions and proceed in task completion; however, the other side of communication remains unresolved. This paper provides a review of methods of improving human awareness during collaboration with a robot. Covered techniques include graphical, acoustic and haptic feedback implementations. The work is focused on the practical applicability of the approaches, and analyses present challenges associated with each method.

scholarly journals Industry 4.0 for Pharmaceutical Manufacturing: Preparing for the Smart Factories of the Future

2021 ◽  
pp. 120554
Author(s):  
N. Sarah Arden ◽  
Adam C. Fisher ◽  
Katherine Tyner ◽  
Lawrence X. Yu ◽  
Sau L. Lee ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Pharmaceutical Manufacturing ◽  
The Future ◽  
Smart Factories ◽  
Factories Of The Future

Wege in die Zukunft der Produktion/Pathways to the future of production - Holistic consideration of Employees as an enabler for the transformation to Industry 4.0

2017 ◽  
Vol 107 (04) ◽  
pp. 273-279
Author(s):  
T. Knothe ◽  
A. Ullrich ◽  
N. Weinert
Keyword(s):  
Industry 4.0 ◽  
Transformation Process ◽  
Use Cases ◽  
Iterative Approach ◽  
The Future ◽  
Early Phases ◽  
Factories Of The Future

Die Transformation in die „intelligente“ und vernetzte Fabrik der Zukunft folgt einem schrittweise iterativ ablaufenden Prozess. Besonderer Wert ist dabei auf die schnelle Realisierung von Prototypen und einzelnen Maßnahmen zu legen, um rasch Ergebnisse zu erzielen. Gefördert wird mit diesem Vorgehen nicht zuletzt auch das Verständnis und die Partizipationsbereitschaft der beteiligten Mitarbeiter, die somit früher in konkrete Entwicklungen eingebunden werden und diese mitgestalten können. Das Projekt „MetamoFAB“ hat Methoden sowie Hilfsmittel entwickelt, die beim Planen und Umsetzen der Transformation unterstützen. Diese wurden zudem exemplarisch in Fallbeispielen erprobt.   The transformation towards intelligent and interconnected Factories of the future follows a stepwise, iterative approach. For quickly achieving results, a fast realization of haptic prototypes is crucial. By this, not at least understanding and willingness for participation of involved employees is raised, including them early phases of the transformation. The project MetamoFAB has developed methods and tools supporting this transformation process during planning and implementation. The applicability has been demonstrated exemplarily in use cases.

scholarly journals Internet of Things in Asset Management

2018 ◽  
Vol 9 (2) ◽  
pp. 104-119 ◽  
Author(s):  
Sini-Kaisu Kinnunen ◽  
Antti Ylä-Kujala ◽  
Salla Marttonen-Arola ◽  
Timo Kärri ◽  
David Baglee
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Spare Parts ◽  
Future Research ◽  
Frequency Identification ◽  
Preliminary Study ◽  
Smart Factories ◽  
Factories Of The Future

The emerging Internet of Things (IoT) technologies could rationalize data processes from acquisition to decision making if future research is focused on the exact needs of industry. This article contributes to this field by examining and categorizing the applications available through IoT technologies in the management of industrial asset groups. Previous literature and a number of industrial professionals and academic experts are used to identify the feasibility of IoT technologies in asset management. This article describes a preliminary study, which highlights the research potential of specific IoT technologies, for further research related to smart factories of the future. Based on the results of literature review and empirical panels IoT technologies have significant potential to be applied widely in the management of different asset groups. For example, RFID (Radio Frequency Identification) technologies are recognized to be potential in the management of inventories, sensor technologies in the management of machinery, equipment and buildings, and the naming technologies are potential in the management of spare parts.

scholarly journals Comprehensive Integration in Smart Factories of the Future

2017 ◽  
Vol 21 (2) ◽  
pp. 20-27 ◽  
Author(s):  
Jozef Kováč ◽  
Peter Malega ◽  
Juraj Kováč
Keyword(s):  
The Future ◽  
Smart Factories ◽  
Factories Of The Future

The Implementation of Industry 4.0 by Using Industrial and Service Robots in the Production Processes

2020 ◽  
pp. 1-30 ◽  
Author(s):  
Isak Karabegović ◽  
Edina Karabegović ◽  
Mehmed Mahmic ◽  
Ermin Husak
Keyword(s):  
Radio Frequency Identification ◽  
Industry 4.0 ◽  
Production Systems ◽  
Service Robots ◽  
Production Processes ◽  
New Business ◽  
3D Printers ◽  
Frequency Identification ◽  
Smart Factories ◽  
The Internet Of Things

From the very knowledge of Industry 4.0, its implementation is carried out in all segments of society, but we still do not fully understand the breadth and speed of its implementation. We are currently witnessing major changes in all industries, so new business methods are emerging. There is a transformation of production systems, a new form of consumption, delivery, and transportation, all thanks to the implementation of new technological discoveries that cover robotics and automation, the internet of things (IoT), 3D printers, smart sensors, radio frequency identification (RFID), etc. Robotic technology is one of the most important technologies in Industry 4.0, so that the robot application in the automation of production processes with the support of information technology brings us to smart automation (i.e., smart factories). The changes are so deep that, from the perspective of human history, there has never been a time of greater promise or potential danger.

Sign in / Sign up

Export Citation Format

Share Document