Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Grasp Quality Evaluation Done Right: How Assumed Contact Force Bounds Affect Wrench-Based Quality Metrics
![A new approach for grasp quality calculation using continuous boundary formulation of grasp wrench space - ScienceDirect A new approach for grasp quality calculation using continuous boundary formulation of grasp wrench space - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0094114X21002767-gr5.jpg)
A new approach for grasp quality calculation using continuous boundary formulation of grasp wrench space - ScienceDirect
![Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10514-018-9788-4/MediaObjects/10514_2018_9788_Fig16_HTML.png)
Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink
![Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10514-018-9788-4/MediaObjects/10514_2018_9788_Fig8_HTML.png)
Computing the best grasp in a discrete point set with wrench-oriented grasp quality measures | SpringerLink
![Figure 2 from Independent contact region (ICR) based in-hand motion planning algorithm with guaranteed grasp quality margin | Semantic Scholar Figure 2 from Independent contact region (ICR) based in-hand motion planning algorithm with guaranteed grasp quality margin | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/c0873a498833c3bbd9c856006e0cb318cfbe847e/3-Figure2-1.png)