Sensors tensorization in OmniIsaacGymEnvs


I am trying to train my agent using DRL with observation data, such as RGB-D camera, lidar, etc…

However, I could not find any example using tensorization of sensor data in OmniIsaacGymEnvs except for force data.

Meanwhile, I found an answer from IsaacSim team of NVIDIA, and they said they are developing that function at that time (2 Nov 2022). Post link

Is it still being developed ?

If it its, is there any way to accelerate DRL using sensor data, such as RGB-D, lidar, or point cloud data in OmniIsaacGymEnvs ?

Thank you in advance!

Hi there, yes we are still working on a reinforcement learning example that leverages camera data. The example should be ready for release soon!

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