Programming-Free Approaches for Human–Robot Collaboration in Assembly Tasks

Akkaladevi, Sharath Chandra; Propst, Matthias; Hofmann, Michaël; Hiesmair, Leopold; Ikeda, Markus; Chitturi, Naresh; Pichler, Andreas

doi:10.1007/978-3-030-69178-3_12

“…Akkaladevi, S.C., et al detailed different programming approaches to depend on the programming paradigms and interfaces by allowing non-experts to easily program robot tasks [29].…”

Section: Methodsmentioning

confidence: 99%

“…They demonstrated an in-depth review with the novel interfaces to improve the current approaches. The introduction of different programming interfaces and paradigms was the purpose of the research to help non-experts in terms of easy robot programming [29].…”

Section: Hrc Assembly Using Artificial Intelligence and Wearable Devicesmentioning

confidence: 99%

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Human-Robot Collaboration in Manufacturing Assembly Tasks

Chowdhury

2023

Preprint

2

0

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The paper provides a comprehensive review of the recent advancements and methodologies in Human-Robot Collaboration (HRC) applied to the manufacturing assembly process. In modern manufacturing, the assembly process involves intricate and time-consuming operations, often necessitating flexible manual interventions. However, the cost and stability issues associated with manual labor highlight the need for collaborative solutions integrating humans and robots. HRC, as a viable solution, involves the joint effort of humans and robots in manufacturing tasks, presenting advantages in terms of precision, reproducibility, and cycle time. This review categorizes and discusses methodologies such as task allocation, reinforcement learning, and Cyber-Physical Systems (CPS)-based planning approaches that facilitate HRC in the assembly process. It also explores experiments and future trends to address challenges and enhance efficiency in manufacturing assembly through intelligent collaboration between humans and robots. The objective of this research is to provide insights and directions for further research in HRC to optimize manufacturing processes. By analyzing the existing state-of-the-art and presenting future prospects, this paper aims to guide researchers and practitioners toward more effective implementations of HRC in manufacturing assembly, ultimately leading to improved operational efficiency and productivity.

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“…They demonstrated an in-depth review with the novel interfaces to improve the current approaches. The introduction of different programming interfaces and paradigms was the purpose of the research to help non-experts in terms of easy robot programming [29].…”

Section: Hrc Assembly Using Artificial Intelligence and Wearable Devicesmentioning

confidence: 99%

“…Yet, it is challenging for the experts to reduce the programming effort through natural modes of communication. Akkaladevi, S.C., et al have focused on demonstrating different user interfaces for non-programming experts to help with easy programming for the complex robotic tasks [29].…”

Section: Introductionmentioning

confidence: 99%

Human-Robot Collaboration in Manufacturing Assembly Tasks

Chowdhury

2023

Preprint

0

View full text Add to dashboard Cite

The paper provides a comprehensive review of the recent advancements and methodologies in Human-Robot Collaboration (HRC) applied to the manufacturing assembly process. In modern manufacturing, the assembly process involves intricate and time-consuming operations, often necessitating flexible manual interventions. However, the cost and stability issues associated with manual labor highlight the need for collaborative solutions integrating humans and robots. HRC, as a viable solution, involves the joint effort of humans and robots in manufacturing tasks, presenting advantages in terms of precision, reproducibility, and cycle time. This review categorizes and discusses methodologies such as task allocation, reinforcement learning, and Cyber-Physical Systems (CPS)-based planning approaches that facilitate HRC in the assembly process. It also explores experiments and future trends to address challenges and enhance efficiency in manufacturing assembly through intelligent collaboration between humans and robots. The objective of this research is to provide insights and directions for further research in HRC to optimize manufacturing processes. By analyzing the existing state-of-the-art and presenting future prospects, this paper aims to guide researchers and practitioners toward more effective implementations of HRC in manufacturing assembly, ultimately leading to improved operational efficiency and productivity.

show abstract