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Hi toni ! Thanks to your efforts, we are using skrl to easily build a reinforcement learning environment and use it for research. I am currently facing a problem using lidar in skrl(OIGE). When I train it with "headless=false", it returns the proper value of depth. However, when "headless=True", the wrong value seem to be returned. I modified it by referring to the post below, but in my case, the value is fixed to the maximum measurement From my guess, it seems that the ray beam penetrates the obstacle and cannot be measured. What steps can be taken in this case? Thank you in advance ! |
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Hi,swimpark I answered to your question. Please refer to your question in Isaac Sim forum. Thanks. |
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Hi,swimpark
I answered to your question. Please refer to your question in Isaac Sim forum.
Thanks.