# Visually Guided Object Grasping

arXiv: https://arxiv.org/abs/2311.12660 · HTML: https://mlsanity.com/paper/2311.12660/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 49 references that are in the map.
- First posted on arXiv 21 Nov 2023.

## Builds on (most cited first, 1 of 1)

- [Simultaneous Robot-World and Hand-Eye Calibration](https://mlsanity.com/paper/2311.11818/) (2023)

## Built on by (most cited first, 1 of 1)

- [Visual Sevoing from Lines](https://mlsanity.com/paper/2610.18363/) (2026)

## Abstract (arXiv)

In this paper we present a visual servoing approach to the problem of object grasping and more generally, to the problem of aligning an end-effector with an object. First we extend the method proposed by Espiau et al. [1] to the case of a camera which is not mounted onto the robot being controlled and we stress the importance of the real-time estimation of the image Jacobian. Second, we show how to represent a grasp or more generally, an alignment between two solids in 3-D projective space using an uncalibrated stereo rig. Such a 3-D projective representation is view-invariant in the sense that it can be easily mapped into an image set-point without any knowledge about the camera parameters. Third, we perform an analysis of the performances of the visual servoing algorithm and of the grasping precision that can be expected from this type of approach.