The dataset viewer is not available for this subset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
                  raise ValueError(
              ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems
 
This dataset is presented in the paper ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems.
π§ Dataset Summary
ScanBot is a dataset for instruction-conditioned, high-precision surface scanning with robots. Unlike existing datasets that focus on coarse tasks like grasping or navigation, ScanBot targets industrial laser scanning, where sub-millimeter accuracy and parameter stability are essential. It includes scanning trajectories across 12 objects and 6 task types, each driven by natural language instructions. The dataset provides synchronized RGB, depth, laser profiles, robot poses, and joint states.
π¦ Use Cases
- Vision-Language Action (VLA)
- Instruction-Guided Surface Scanning
- 3D Surface Reconstruction
- Spatial Reasoning and Feature Localization
- Laser Profile Analysis for Inspection Tasks
ποΈ Data Description
scanbot/
βββ cube1/
β   βββ top_surface/
β   β   βββ path_001/
β   β   β   βββ rgb/
β   β   β   β   βββ ...
β   β   β   βββ depth/
β   β   β   β   βββ ...
|   |   |   |ββ 1746226187.997976_gopro.mp4  
β   β   β   βββ robot_joint_states.csv
β   β   β   βββ robot_tcp_poses.csv
β   β   β   βββ metadata.json
β   β   βββ path_002/
β   β   β   βββ ...
βββ cube2
βββ cylinder_red
βββ cylinder_white
βββ ...
π¬ Task Levels
Each scan is driven by an instruction that falls under one of the following task categories:
| Task Type | Description | 
|---|---|
| T1 | Surface Scan | 
| T2 | Geometry Focus | 
| T3 | Spatial Reference | 
| T4 | Functional Target | 
| T5 | Defect Inspection | 
| T6 | Comparative Analysis | 
π οΈ Hardware Setup
 
π Version Update
Version 1.0
The initial version of ScanBot contains 197 tasks, and involves 12 different objects.
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