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Browse files- .gitattributes +1 -0
- README.md +8 -1
- assets/05_sim_studio_sensors.png +2 -2
- assets/07_nn_eval_3d.png +3 -0
.gitattributes
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assets/04_real_robot.jpg filter=lfs diff=lfs merge=lfs -text
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assets/06_virtual_map_run.png filter=lfs diff=lfs merge=lfs -text
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README.md
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The studio stage where the model's four inputs are defined: ultrasonic sensors
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F/L/R/B with datasheet-based noise models, checked by the built-in self QA/QC
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checklist
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The target hardware: a tracked test robot with the ultrasonic sensors mounted on
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the hand, the same F-channel placement the simulator reproduces.
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The studio stage where the model's four inputs are defined: ultrasonic sensors
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F/L/R/B with datasheet-based noise models, checked by the built-in self QA/QC
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checklist. On the right, the local LLM explains a warning from that checklist,
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citing the stage report as its basis.
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And this exact model running in the studio's 3D evaluation stage. The left panel
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shows the live inference at the current step: the four sensor inputs (F/L/R/B, mm),
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the softmax over the five commands with FORWARD selected, and the angle head:
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The target hardware: a tracked test robot with the ultrasonic sensors mounted on
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the hand, the same F-channel placement the simulator reproduces.
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assets/05_sim_studio_sensors.png
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Git LFS Details
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Git LFS Details
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assets/07_nn_eval_3d.png
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