5 citations · 7 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.RO2023★ 5 cited
Lan-grasp: Using Large Language Models for Semantic Object Grasping and Placement
Reihaneh Mirjalili, Michael Krawez, Yannik Blei +3
In this paper, we propose Lan-grasp, a novel approach towards more appropriate semantic grasping and placing. We leverage foundation models to equip the robot with a semantic under…
cs.RO2023★ 1 cited
FM-Loc: Using Foundation Models for Improved Vision-based Localization
Reihaneh Mirjalili, Michael Krawez, Wolfram Burgard
Visual place recognition is essential for vision-based robot localization and SLAM. Despite the tremendous progress made in recent years, place recognition in changing environments…