Exploring Learning Dexterous Manipulation From Exemplar Object Trajectories And Pre Grasps
Exploring Learning Dexterous Manipulation From Exemplar Object Trajectories And Pre Grasps reveals several interesting facts.
- Authors: Andrew S. Morgan*, Kaiyu Hang*, and Aaron M. Dollar Robotics and Automation Letters, 2020 Abstract: We address the ...
- Podshara Chanrungmaneekul, Kejia Ren, Josh Grace, Aaron M. Dollar, and Kaiyu Hang Paper available at: ...
- Paria Esmatloo's presentation during the 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM ...
- In this talk I will illustrate four different perspectives that we as a community have embraced to study robotic
- A majority of robots in industry today are only able to use simple parallel jaw grippers for
In-Depth Information on Learning Dexterous Manipulation From Exemplar Object Trajectories And Pre Grasps
For more information please checkout our project page: https://pregrasps.github.io/ For more information about Stanford's graduate programs, visit: https://online.stanford.edu/graduate- This is a video supporting work from our paper in ICRA 2014. It shows how we can Sequential Dexterity: Chaining
This video introduces a
Stay tuned for more updates related to Learning Dexterous Manipulation From Exemplar Object Trajectories And Pre Grasps.
