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Problem: Currently, we determine the success of a grasp based on whether the gripper is fully closed. This works well for most objects, since the gripper doesn't fully close due to their thickness. Ho…
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Hi,
The article you mentioned "Real-time Grasp Detection..." has the image depth information included when training the CNN. While the title of your repository "robot-grasp-detection" is "Detecting…
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I appreciate the excellent work you guys are doing. With the Dope you have developed, I have been able to detect cans using a custom dataset.
I only used NDDS to generate DR data, which is well de…
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Thanks for sharing the code. I want to confirm if the robot has learning in detection and grasping.
I tried to change the positions of the objects. But the robot did not change the pick position, res…
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Hello, I would like to ask you what you mentioned in the paper.
1. When the robot is actually used for grasping, the approach direction is along the normal direction of the grasping point. What is …
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## Type of Issue
Follow-ups from https://github.com/facebookresearch/droidlet/pull/475
- [x] Write an api for navigation (equivalent of [this](https://github.com/facebookresearch/droidlet/blob/mai…
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I'd like to use the object detection feature of the Robotiq Gripper from python script.
When the gripper grasps some object, I want to get the OBJ value (and POS).
I executed bellow script, but the …
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Hi,
Is there any way to access the pretrained VMRN model to reproduce the results in paper?
Thanks
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First of all, I tried python==3.6 and follow the step of configuring the environment of `maskrcnn-benchmark` as mentioned, when I succeded with the environment of `maskrcnn-benchmark`, I returned to t…