mlsanityData to 7 Oct 2026

Go Fetch: Mobile Manipulation in Unstructured Environments

arXiv 2004.00899 ↗First posted 2 Apr 2020cs.RO cs.CVcited by 5

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Abstract (arXiv)

With humankind facing new and increasingly large-scale challenges in the medical and domestic spheres, automation of the service sector carries a tremendous potential for improved efficiency, quality, and safety of operations. Mobile robotics can offer solutions with a high degree of mobility and dexterity, however these complex systems require a multitude of heterogeneous components to be carefully integrated into one consistent framework. This work presents a mobile manipulation system that combines perception, localization, navigation, motion planning and grasping skills into one common workflow for fetch and carry applications in unstructured indoor environments. The tight integration across the various modules is experimentally demonstrated on the task of finding a commonly available object in an office environment, grasping it, and delivering it to a desired drop-off location. The accompanying video is available at https://youtu.be/e89_Xg1sLnY.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2020.

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Citing papers per year: 2022: 3; 2023: 0; 2024: 1; 2025: 0; 2026: 1.

5 papers.