Robot Assistants as Simple and Effective Tools in Manufacturing Environments

Hägele, Martin; Schaaf, Walter; Helms, Evert

doi:10.1007/978-3-540-31509-4_29

Cited by 7 publications

(9 citation statements)

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“…Considering the need for real-time application, the Fast Fourier Transform (FFT) was chosen instead of the conventional Discrete Fourier Transform (DFT). The components obtained from the FFT for each graph were subsequently used to calculate the cosine similarity, as outlined in Equation (9). It is important to note that the similarity values range from −1 to 1, where a value closer to −1 indicates low similarity (characteristic of walking), and values near +1 denote high similarity, aligning with other types of movement.…”

Section: Step 2-methods To Distinguish Between Walking and Non-walkin...mentioning

confidence: 99%

“…If the robot were to respond to error values while the user is stationary, this could lead to accidents within the working environment. Therefore, it is important to ensure precise differentiation for the safety of operational environments [9].…”

Section: Definition Of Human Movement Statementioning

confidence: 99%

“…If a worker-following robot were to respond to every instance of such lingering, it would decrease the robot's operational efficiency and similarly elevate the risk of accidents. Hence, for both efficiency and safety in robotic operations, it is imperative that robots discern lingering and sitting/standing behaviors and respond appropriately to each [9].…”

Section: Definition Of Human Movement Statementioning

confidence: 99%

“…As a part of this integration, the ability for robots to perceive human movements and behaviors accurately and respond appropriately has become increasingly important [6][7][8]. This capability is not only vital for the robot's stability but also in improving the user convenience and work efficiency [9,10]. Therefore, a smooth response system between humans and robots has become one of the primary research topics in robotics [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Human Movement Recognition Using Ultra-Wideband Sensors

Noh,

Ahn,

Lee

2024

Electronics

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This study introduces a methodology for the real-time detection of human movement based on two legs using ultra-wideband (UWB) sensors. Movements were primarily categorized into four states: stopped, walking, lingering, and the transition between sitting and standing. To classify these movements, UWB sensors were used to measure the distance between the designated point and a specific point on the two legs in the human body. By analyzing the measured distance values, a movement state classification model was constructed. In comparison to conventional vision/laser/LiDAR-based research, this approach requires fewer computational resources and provides distinguished real-time human movement detection within a CPU environment. Consequently, this research presents a novel strategy to effectively recognize human movements during human–robot interactions. The proposed model effectively discerned four distinct movement states with classification accuracy of around 95%, demonstrating the novel strategy’s efficacy.

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Section: Step 2-methods To Distinguish Between Walking and Non-walkin...mentioning

confidence: 99%

Section: Definition Of Human Movement Statementioning

confidence: 99%

Section: Definition Of Human Movement Statementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Real-Time Human Movement Recognition Using Ultra-Wideband Sensors

Noh,

Ahn,

Lee

2024

Electronics

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“…However, they are not common in industrial production since they have not yet shown the necessary level of robustness. An overview of related research projects and conceivable applications is given in [6]. Recently, the Autonomous Robotic Manipulation (ARM) competition was launched by DARPA [7].…”

Section: Introductionmentioning

confidence: 99%

A Flexible Robotic Framework for Autonomous Manufacturing Processes: Report from the European Robotics Challenge Stage 1

Hildebrandt

Schuetz

Wahrmann

et al. 2016

2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC)

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Abstract-Common industrial automation approaches consist on heavy and fixed robotic manipulators working in separated and closed production lines. Recent advances in sensing and control are leading to flexible and versatile robotic manipulator platforms, which could work in barrier-free production areas and might be the next advance in industrial production. In our contribution, we present a sophisticated and completely autonomous software framework for handling complex pickand-place tasks using state-of-the-art tools and algorithms. It covers applicable solutions for 3D image processing, motion planning, grasping as well as error handling and task scheduling strategies. Its competitiveness in terms of robustness and performance has been proven by earning the first place among 39 teams from all over Europe in the simulation stage of the EuRoC. At the challenge 2 of this EU-funded project, a mobile robotic platform shall be applied for intelligent, flexible and highly automated production systems. We discuss our results as well as the applicability of our framework to real industrial applications.

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