Create robot_navigation_model.json
Browse files- robot_navigation_model.json +89 -0
robot_navigation_model.json
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_name": "robot_navigation_model_v1",
|
| 3 |
+
"version": "1.0",
|
| 4 |
+
"description": "Model AI untuk navigasi robot otonom dengan perencanaan rute, pemetaan lingkungan, dan penghindaran rintangan.",
|
| 5 |
+
|
| 6 |
+
"architecture": {
|
| 7 |
+
"type": "Hybrid CNN + Transformer",
|
| 8 |
+
"modules": {
|
| 9 |
+
"vision_encoder": {
|
| 10 |
+
"type": "CNN",
|
| 11 |
+
"layers": [
|
| 12 |
+
{"conv": [32, 3, 1]},
|
| 13 |
+
{"conv": [64, 3, 2]},
|
| 14 |
+
{"conv": [128, 3, 2]}
|
| 15 |
+
]
|
| 16 |
+
},
|
| 17 |
+
"lidar_encoder": {
|
| 18 |
+
"type": "PointNet",
|
| 19 |
+
"layers": [64, 128, 256]
|
| 20 |
+
},
|
| 21 |
+
"path_planner": {
|
| 22 |
+
"type": "Transformer",
|
| 23 |
+
"num_layers": 6,
|
| 24 |
+
"hidden_size": 512,
|
| 25 |
+
"heads": 8
|
| 26 |
+
}
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
|
| 30 |
+
"inputs": {
|
| 31 |
+
"camera_image": "RGB image 640x480",
|
| 32 |
+
"lidar_points": "Point cloud (max 2048 points)",
|
| 33 |
+
"imu_data": {
|
| 34 |
+
"acceleration": "x, y, z",
|
| 35 |
+
"rotation": "roll, pitch, yaw"
|
| 36 |
+
},
|
| 37 |
+
"target_coordinate": "x, y"
|
| 38 |
+
},
|
| 39 |
+
|
| 40 |
+
"outputs": {
|
| 41 |
+
"navigation_command": [
|
| 42 |
+
"move_forward",
|
| 43 |
+
"turn_left",
|
| 44 |
+
"turn_right",
|
| 45 |
+
"stop",
|
| 46 |
+
"recalculate_path"
|
| 47 |
+
],
|
| 48 |
+
"velocity": "float (0.0–1.0)",
|
| 49 |
+
"steering_angle": "float (-1.0–1.0)",
|
| 50 |
+
"confidence": "float (0–1)"
|
| 51 |
+
},
|
| 52 |
+
|
| 53 |
+
"capabilities": [
|
| 54 |
+
"A* path planning",
|
| 55 |
+
"SLAM (Simultaneous Localization and Mapping)",
|
| 56 |
+
"Real-time obstacle avoidance",
|
| 57 |
+
"Multi-sensor fusion (camera + lidar + imu)",
|
| 58 |
+
"Lane following",
|
| 59 |
+
"Indoor and outdoor navigation"
|
| 60 |
+
],
|
| 61 |
+
|
| 62 |
+
"training_data": {
|
| 63 |
+
"datasets_used": [
|
| 64 |
+
"indoor_slam_set_v2",
|
| 65 |
+
"lidar_navigation_world_v1",
|
| 66 |
+
"robot_waypoint_instructions",
|
| 67 |
+
"city_navigation_multisensor"
|
| 68 |
+
],
|
| 69 |
+
"total_samples": 85000
|
| 70 |
+
},
|
| 71 |
+
|
| 72 |
+
"example_inference": {
|
| 73 |
+
"input": {
|
| 74 |
+
"camera_image": "image_frame_001.png",
|
| 75 |
+
"lidar_points": "1530 points",
|
| 76 |
+
"imu_data": {
|
| 77 |
+
"acceleration": [0.01, 0.0, 0.0],
|
| 78 |
+
"rotation": [0.0, 0.1, 0.0]
|
| 79 |
+
},
|
| 80 |
+
"target_coordinate": [5.2, 3.1]
|
| 81 |
+
},
|
| 82 |
+
"output": {
|
| 83 |
+
"navigation_command": "move_forward",
|
| 84 |
+
"velocity": 0.72,
|
| 85 |
+
"steering_angle": -0.18,
|
| 86 |
+
"confidence": 0.94
|
| 87 |
+
}
|
| 88 |
+
}
|
| 89 |
+
}
|