Understanding Learning Dexterous Grasps That Generalise To Novel Objects
Let's dive into the details surrounding Learning Dexterous Grasps That Generalise To Novel Objects. This is a video supporting work from our paper in ICRA 2014. It shows how we can
Key Takeaways about Learning Dexterous Grasps That Generalise To Novel Objects
- UC Berkeley AUTOLAB http://bit.ly/AUTOLAB Dex-Net 2.0: Deep
- Authors: Andrew S. Morgan, Walter G. Bircher, and Aaron M. Dollar IEEE Transactions on Robotics, 2021. Abstract:
- M. Corsaro, S. Tellex, and G.D. Konidaris.
- ICRA 2018 Spotlight Video Interactive Session Wed AM Pod T.1 Authors: Zeng, Andy; Song, Shuran; Yu, Kuan-Ting; Donlon, ...
- Video accompaniment to our IROS 2021 paper:
Detailed Analysis of Learning Dexterous Grasps That Generalise To Novel Objects
This is the full video explaining the results of our paper on For more information please checkout our project page: https://pregrasps.github.io/ The video illustrates how we tackle the problem of
From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation
That wraps up our extensive overview of Learning Dexterous Grasps That Generalise To Novel Objects.