Automating Manual Tasks through Intuitive Robot Programming and Cognitive Robotics
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915921349574656 |
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| author | Kavousian, Bijan Tesic, Petar Petrovic, Oliver Brecher, Christian |
| author_facet | Kavousian, Bijan Tesic, Petar Petrovic, Oliver Brecher, Christian |
| contents | This paper presents a novel concept for intuitive end-user programming of robots, inspired by natural interaction between humans. Natural language and supportive gestures are translated into robot programs using large language models (LLMs) and computer vision (CV). Through equally natural system feedback in the form of clarification questions and visual representations, the generated program can be reviewed and adjusted, thereby ensuring safety, transparency, and user acceptance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_05978 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Automating Manual Tasks through Intuitive Robot Programming and Cognitive Robotics Kavousian, Bijan Tesic, Petar Petrovic, Oliver Brecher, Christian Robotics This paper presents a novel concept for intuitive end-user programming of robots, inspired by natural interaction between humans. Natural language and supportive gestures are translated into robot programs using large language models (LLMs) and computer vision (CV). Through equally natural system feedback in the form of clarification questions and visual representations, the generated program can be reviewed and adjusted, thereby ensuring safety, transparency, and user acceptance. |
| title | Automating Manual Tasks through Intuitive Robot Programming and Cognitive Robotics |
| topic | Robotics |
| url | https://arxiv.org/abs/2604.05978 |