ArticleFrontiers in robotics and AI2022
No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context.
Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A comprehensive review and bibliometric analysis on collaborative robotics for industry: safety emerging as a core focus.Frontiers in robotics and AI · 2025Pooled it
- A novel approach for automatic annotation of human actions in 3D point clouds for flexible collaborative tasks with industrial robots.Frontiers in robotics and AI · 2023Article
- Interactive robot teaching based on finger trajectory using multimodal RGB-D-T-data.Frontiers in robotics and AI · 2023Article
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Authors and funding
5 authors.
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Abstract
Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic programming still needs a lot of time and effort in small batch sizes, and it demands specific expertise and special training, especially when various robotic platforms are required. Actual low-code or no-code robotic programming solutions are exorbitant and meager. This work proposes a novel approach for no-code robotic programming for end-users with adequate or no expertise in industrial robotic. The proposed method ensures intuitive and fast robotic programming by utilizing a finite state machine with three layers of natural interactions based on hand gesture, finger gesture, and voice recognition. The implemented system combines intelligent computer vision and voice control capabilities. Using a vision system, the human could transfer spatial information of a 3D point, lines, and trajectories using hand and finger gestures. The voice recognition system will assist the user in parametrizing robot parameters and interacting with the robot's state machine. Furthermore, the proposed method will be validated and compared with state-of-the-art "Hand-Guiding" cobot devices within real-world experiments. The results obtained are auspicious, and indicate the capability of this novel approach for real-world deployment in an industrial context.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.