Robotic manipulation for the shoe-packaging process

Gracia, Luis; Pérez-Vidal, Carlos; Mronga, Dennis; Paco, Jose-Manuel de; Azorín, José M.; Gea, José de

doi:10.1007/s00170-017-0212-6

Cited by 19 publications

(12 citation statements)

References 27 publications

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“…Integration of robotic system into a human-centred operation such as the shoe production process presented by Gracia et al brought typical manufacturing challenges into focus; large number of variants, short production runs, complex manufacturing process, manual quality verification, packaging. The applied architecture presented included hardware, software, motion planning, collision, object detection and force control (Gracia et al , 2017). Michalos et al demonstrated in a case study, how complicate it is to upgrade an existing robot to engage in human–robot collaboration.…”

Section: Methodsmentioning

confidence: 99%

Technology jump in the industry: human–robot cooperation in production

Dobra

Dhir

2020

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Purpose Recent years have seen a technological change, Industry 4.0, in the manufacturing industry. Human–robot cooperation, a new application, is increasing and facilitating collaboration without fences, cages or any kind of separation. The purpose of the paper is to review mainstream academic publications to evaluate the current status of human–robot cooperation and identify potential areas of further research. Design/methodology/approach A systematic literature review is offered that searches, appraises, synthetizes and analyses relevant works. Findings The authors report the prevailing status of human–robot collaboration, human factors, complexity/ programming, safety, collision avoidance, instructing the robot system and other aspects of human–robot collaboration. Practical implications This paper identifies new directions and potential research in practice of human–robot collaboration, such as measuring the degree of collaboration, integrating human–robot cooperation into teamwork theories, effective functional relocation of the robot and product design for human robot collaboration. Originality/value This paper will be useful for three cohorts of readers, namely, the manufacturers who require a baseline for development and deployment of robots; users of robots-seeking manufacturing advantage and researchers looking for new directions for further exploration of human–machine collaboration.

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Section: Methodsmentioning

confidence: 99%

Technology jump in the industry: human–robot cooperation in production

Dobra

Dhir

2020

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“…Consequently, it is difficult or impossible to devise exact procedures and rule-based action execution schemes in advance. One example here could be to formulate the task to have a robot pack a pair of shoes in a shoebox [85]. Even a task that sounds as simple as this proved to be impossible to be completely modeled.…”

Section: Learning From Humansmentioning

confidence: 99%

Human-centered AI and robotics

et al. 2022

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Robotics has a special place in AI as robots are connected to the real world and robots increasingly appear in humans everyday environment, from home to industry. Apart from cases were robots are expected to completely replace them, humans will largely benefit from real interactions with such robots. This is not only true for complex interaction scenarios like robots serving as guides, companions or members in a team, but also for more predefined functions like autonomous transport of people or goods. More and more, robots need suitable interfaces to interact with humans in a way that humans feel comfortable and that takes into account the need for a certain transparency about actions taken. The paper describes the requirements and state-of-the-art for a human-centered robotics research and development, including verbal and non-verbal interaction, understanding and learning from each other, as well as ethical questions that have to be dealt with if robots will be included in our everyday environment, influencing human life and societies.

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“…The use of AR is becoming widespread in the manufacturing sector, for a multitude of reasons. Most common AR technologies include AR markers [51], displays and hologram technologies [52], mobile devices [53], tracking technologies [54], and interaction technologies [55]. AR is revolutionizing the manufacturing industry by offering better insights for product development, equipment maintenance, workforce training, production floor issues, process flow, complex assembly, expert support, quality assurance, and automation [56,57].…”

Section: Augmented Realitymentioning

confidence: 99%

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Butt

2020

Designs

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Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange. It is no longer a future trend and is being employed worldwide by manufacturing organizations, to gain benefits of improved performance, reduced inefficiencies, and lower costs, while improving flexibility. However, the implementation of Industry 4.0 enabling technologies is a difficult task and becomes even more challenging without any standardized approach. The barriers include, but are not limited to, lack of knowledge, inability to realistically quantify the return on investment, and lack of a skilled workforce. This study presents a systematic and content-centric literature review of Industry 4.0 enabling technologies, to highlight their impact on the manufacturing industry. It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches. The basis of the roadmap is the design for six sigma approach for the development of a new process chain, followed by a continuous improvement plan. The reason for choosing lean six sigma is to provide manufacturers with a sense of familiarity, as they have been employing these principles for removing waste and reducing variability. Major reasons for the rejection of Industry 4.0 implementation methodologies by manufactures are fear of the unknown and resistance to change, whereas the use of lean six sigma can mitigate them. The strategic roadmap presented in this paper can offer a holistic view of phases that manufacturers should undertake and the challenges they might face in their journey toward Industry 4.0 transition.

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Robotic manipulation for the shoe-packaging process

Cited by 19 publications

References 27 publications

Technology jump in the industry: human–robot cooperation in production

Technology jump in the industry: human–robot cooperation in production

Human-centered AI and robotics

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

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