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Hi, this work is very similar to the throwing work in the paper "DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training", but It's a great work with a different approach and used on a real robot!
My most recent research has been on tasks involving dexterous hand grasping. The current progress is that I have completed the training for grasping, but I will only be using the Ros communication node to map the motion from Isaac gym to a physical robot for open-loop sim2real. if I use the state feedback from the real robot, it will be very ineffective maybe due to the communication delays. May I ask what is your specific sim2real implementation like? Is the inference of the neural network done outside of the Isaac program?
Looking forward to your reply, thanks!
DannyChen
The text was updated successfully, but these errors were encountered:
Hi, this work is very similar to the throwing work in the paper "DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training", but It's a great work with a different approach and used on a real robot!
My most recent research has been on tasks involving dexterous hand grasping. The current progress is that I have completed the training for grasping, but I will only be using the Ros communication node to map the motion from Isaac gym to a physical robot for open-loop sim2real. if I use the state feedback from the real robot, it will be very ineffective maybe due to the communication delays. May I ask what is your specific sim2real implementation like? Is the inference of the neural network done outside of the Isaac program?
Looking forward to your reply, thanks!
DannyChen
The text was updated successfully, but these errors were encountered: