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EventTouch Part2
1. Overview
EventTouch Part2 contains synchronized time-series data from real-robot tactile experiments and finite element method (FEM/IPC) simulations. It covers objects with different shapes, materials, and sizes and is organized into four task families:
Fixed: pressing, lifting, and slipping at a fixed contact position;Free: picking and insertion at different gripper widths;Obstacle_avoidance: obstacle-avoidance experiments at different contact positions and depths;Integrated_tasks: multi-stage experiments involving a paired ball and cylinder.
Depending on the task, the data include robot end-effector poses, gripper states, force/torque or tactile-channel measurements, simulated motion, FEM node displacements, and nodal contact forces. Vision-based tactile branches also provide camera images associated with the CSV records.
Dataset page: https://huggingface.co/datasets/BAAI/EventTouch
2. Top-Level Structure
Part2/
├── Fixed/
│ ├── digit/
│ ├── s1/
│ └── s2/
├── Free/
│ ├── digit/ # Repository name; this branch represents DIGIT
│ ├── s1/
│ └── s2/
├── Integrated_tasks/
└── Obstacle_avoidance/
Sensor identifiers:
| Identifier | Description |
|---|---|
digit |
DIGIT vision-based tactile sensor |
s1 |
Spherical vision-based tactile sensor |
s2 |
Ellipsoidal vision-based tactile sensor |
s3 |
Large-area resistive tactile sensor with 12 raw channels |
3. Object Naming
Object directories follow this convention:
<shape>_<material>_<size>
Examples:
ball_0010_10
cylinder_PLA_17.5
3.1 Shapes
ball: spherical contact object;cylinder: cylindrical contact object.
3.2 Materials
| Code | Material |
|---|---|
0010 |
Ecoflex 00-10 |
0030 |
Ecoflex 00-30 |
0050 |
Ecoflex 00-50 |
15A |
Dragon Skin 15 |
PLA |
PLA |
3.3 Sizes
The size codes are 10, 12.5, 15, 17.5, and 20. They represent the nominal object radius in millimeters.
A complete single-object branch in Fixed, Free, or Obstacle_avoidance contains 2 × 5 × 5 = 50 shape-material-size combinations. Integrated_tasks instead uses selected pairs of complete object identifiers. Because the repository may continue to receive updates, check the relevant online directory for the combinations currently available.
4. Fixed: Fixed-Position Contact
4.1 Directory Structure
Fixed/
└── <sensor>/
└── <shape>_<material>_<size>/
├── press_depth_01/
│ ├── up/
│ │ ├── camera_frames_60hz.tar
│ │ ├── fem_node.csv
│ │ ├── franka_data.csv
│ │ ├── multimodal_aligned_data.csv
│ │ ├── real_sim_motion_alignment.csv
│ │ └── simulation_data.csv
│ └── down/
│ └── ...
├── press_depth_02/
└── ...
Each object condition contains up to ten press-depth settings, from press_depth_01 to press_depth_10. Every depth is divided into two motion stages:
up: lifting or upward motion;down: pressing, downward motion, or slipping.
The current Fixed data are aligned in the displacement domain. Sixty positions are selected for each stage and reindexed from 0 to 59. The files simulation_data.csv, real_sim_motion_alignment.csv, franka_data.csv, and multimodal_aligned_data.csv contain one row per aligned frame. fem_node.csv contains multiple node records per frame, so it should have 60 unique frames rather than 60 rows.
4.2 File Descriptions
franka_data.csv
Real-robot task and control-cycle data, including:
- ROS, robot, and sensor timestamps;
- task state and cycle index;
- commanded and measured gripper widths;
- actual and commanded Franka end-effector positions and quaternion orientations;
- processed, raw, and online-baseline XJC force/torque measurements;
- Franka-estimated six-axis end-effector force/torque;
- directional forces, force reference, detachment detection, and commanded Z-axis velocity and acceleration.
multimodal_aligned_data.csv
The main camera-centered, real-world multimodal alignment table, including:
- camera sequence number, nanosecond timestamp, image path, and resolution;
- timestamp correspondences among the task, robot, XJC force sensor, and gripper;
- actual and commanded end-effector poses;
- XJC and Franka six-axis force/torque values;
- position, velocity, measured effort, and external torque for the seven arm joints;
- position, velocity, effort, and total width for the two gripper fingers.
simulation_data.csv
Frame-level simulated force/torque curves with the following fields:
frame, time_s, phase, command_travel_m,
Fx_N, Fy_N, Fz_N, Mx_Nm, My_Nm, Mz_Nm,
delta_Fx_N, delta_Fy_N, delta_Fz_N,
delta_Mx_Nm, delta_My_Nm, delta_Mz_Nm,
delta_force_norm_N, delta_moment_norm_Nm
real_sim_motion_alignment.csv
A real-to-simulation motion mapping table containing:
frame,time_s,phase, andcamera_time_ns;- relative displacement and absolute coordinates of the real end effector;
- relative displacement and absolute coordinates of the Isaac TCP;
- relative displacement and absolute coordinates of the IPC contact-region midpoint.
fem_node.csv
Surface-node data from the FEM simulation:
| Field | Description | Unit |
|---|---|---|
frame / aligned_frame |
Frame index | — |
time_s / aligned_time_s |
Simulation or aligned time | s |
node_id |
Node identifier | — |
x_m, y_m, z_m |
Node coordinates | m |
ux_m, uy_m, uz_m |
Node displacements | m |
fx_N, fy_N, fz_N |
Nodal contact forces | N |
camera_frames_60hz.tar
An archive containing the image directory referenced by camera_image_path in the CSV files. Extract it with:
tar -xf camera_frames_60hz.tar
The 60hz suffix is retained from the aligned export naming convention. For time synchronization, use the frame indices and nanosecond timestamps stored in the CSV files.
5. Free: Free Picking and Insertion
5.1 Directory Structure
Free/
└── <sensor>/
└── <shape>_<material>_<size>/
├── width_01/
│ ├── insert/
│ │ ├── camera_frames_60hz.tar
│ │ ├── fem_node.csv
│ │ ├── franka_data.csv
│ │ └── simulation_data.csv
│ └── pick/
│ └── ...
├── width_02/
└── ...
Each object condition contains ten gripper-width settings, from width_01 to width_10. The measured width is recorded in franka_data.csv as measured_gripper_width_m; do not infer a physical width solely from the directory index.
pick: lifting or picking the object;insert: lateral motion, insertion, holding, return, and final insertion.
Free sequences have variable lengths and should not be assumed to contain 60 frames. The three CSV files are aligned through aligned_frame, aligned_time_s, and their phase fields.
5.2 File Descriptions
franka_data.csv
An aligned real-robot table with 13 fields:
aligned_frame, aligned_time_s, alignment_phase, task_ros_time_ns,
camera_image_path,
robot_ee_x_m, robot_ee_y_m, robot_ee_z_m,
robot_ee_qx, robot_ee_qy, robot_ee_qz, robot_ee_qw,
measured_gripper_width_m
simulation_data.csv
An aligned simulation-motion table with seven fields:
aligned_frame, aligned_time_s, alignment_phase,
gripper_y_m, gripper_z_m,
ipc_midpoint_y_m, ipc_midpoint_z_m
fem_node.csv
Aligned node-level FEM data. In addition to the node coordinates, displacements, and contact forces described in Section 4.2, this file contains a phase column.
Legacy .bak File in the DIGIT Branch
Some action directories under Free/digit also contain:
camera_franka_gripper_aligned_60hz.csv.bak
This is a retained legacy or backup alignment table. Use the standardized franka_data.csv for normal analysis. Read the .bak file only when additional legacy columns are needed for traceability.
6. Obstacle_avoidance: Obstacle Avoidance
6.1 Directory Structure
Obstacle_avoidance/
└── <shape>_<material>_<size>/
├── position_01/
│ ├── depth_01/
│ │ ├── fem_node.csv
│ │ ├── franka_data.csv
│ │ └── simulation_data.csv
│ ├── depth_02/
│ └── ...
├── position_02/
└── ...
Each object condition contains 12 contact positions, from position_01 to position_12. Every position contains five depths, from depth_01 to depth_05. These directory names are discrete experimental-condition identifiers. Use the end-effector pose, Isaac/IPC coordinates, and phase fields in the CSV files for the physical trajectory.
6.2 File Descriptions
franka_data.csv
Real-world obstacle-avoidance data with 23 fields:
aligned_frame, aligned_time_s, alignment_phase,
channel_01_raw, ..., channel_12_raw,
ee_x_m, ee_y_m, ee_z_m,
ee_qx, ee_qy, ee_qz, ee_qw,
unix_time_ns
channel_01_raw through channel_12_raw are the 12 raw tactile channels. The ee_* fields describe the Franka end-effector pose.
simulation_data.csv
A simulated motion trajectory with nine fields:
frame, time_s, phase,
isaac_x_m, isaac_y_m, isaac_z_m,
ipc_x_m, ipc_y_m, ipc_z_m
fem_node.csv
Frame- and node-level coordinates, displacements, and three-axis contact forces. Its fields follow the common fem_node.csv definition in Section 4.2.
7. Integrated_tasks: Integrated Multi-Stage Tasks
7.1 Directory Structure
Integrated_tasks/
└── <ball_object>_<cylinder_object>/
├── pose1/
│ ├── width1/
│ │ ├── camera_frames_60hz.tar
│ │ ├── fem_data.csv
│ │ ├── fem_node.csv
│ │ └── franka_s3_data.csv
│ ├── width2/
│ └── ...
├── pose2/
└── ...
Unlike the single-object directory names used by the other task families, an integrated-task directory concatenates two complete object identifiers. The first identifier describes the ball and the second describes the cylinder. Examples currently present in the repository include:
ball_0010_20_cylinder_0010_20
ball_0010_20_cylinder_0030_20
ball_0010_20_cylinder_0050_17.5
ball_0010_20_cylinder_15A_20
Each paired-object condition may contain up to five pose settings, pose1 through pose5, and each pose may contain up to eight width settings, width1 through width8. These are ordinal experimental-condition identifiers; note that they do not use the zero-padded naming convention found in Free.
The integrated sequence combines gripper closing, lifting/probing, retreating, a smooth multi-pose motion, and gripper opening. Real-world phase labels include CLOSE_GRIPPER, POSE1_TO_POSE2, POSE2_TO_POSE3, POSE3_TO_POSE4, SMOOTH_POSE4_TO_POSE8, and OPEN_AT_POSE8. Simulation phases provide more detailed sub-stages such as calibrated delays, stable periods, and fault guards.
Integrated-task sequences have variable lengths and should not be assumed to contain 60 frames. Align their files using frame and time_s.
7.2 File Descriptions
franka_s3_data.csv
A 24-field real-world table combining Franka motion, camera references, and S3 tactile readings:
frame, time_s, camera_ros_time_ns, phase, image_relative_path,
ee_x_m, ee_y_m, ee_z_m,
ee_qx, ee_qy, ee_qz, ee_qw,
arduino_ch00_raw, ..., arduino_ch11_raw
The ee_* fields describe the Franka end-effector pose. The twelve arduino_ch*_raw fields are raw tactile channels from the S3 sensor. image_relative_path identifies the corresponding frame in camera_frames_60hz.tar.
fem_data.csv
A nine-field simulation-motion table:
frame, time_s, phase,
isaac_x_m, isaac_y_m, isaac_z_m,
ipc_midpoint_x_m, ipc_midpoint_y_m, ipc_midpoint_z_m
It records the Isaac reference position and IPC contact-region midpoint for every simulation frame.
fem_node.csv
The integrated-task node table uses a wide format, unlike the long node format used by Fixed, Free, and Obstacle_avoidance. Each row represents one frame and starts with:
frame, time_s, alignment_displacement_progress
The remaining columns are grouped by node identifier. Every selected node contributes nine values:
node_<id>_x_m, node_<id>_y_m, node_<id>_z_m,
node_<id>_ux_m, node_<id>_uy_m, node_<id>_uz_m,
node_<id>_fx_N, node_<id>_fy_N, node_<id>_fz_N
Current files contain 2,010 columns: three frame-level fields followed by nine fields for each of 223 selected nodes. Node identifiers are encoded in the column names and are not necessarily contiguous.
camera_frames_60hz.tar
The camera archive contains the frames referenced by image_relative_path in franka_s3_data.csv. Extract it in the corresponding width directory before resolving image paths.
8. Alignment and Unit Conventions
frameandaligned_framestart at 0;- fields ending in
*_time_sare expressed in seconds; - fields ending in
*_time_nsare expressed in nanoseconds; - position and displacement fields ending in
_mare expressed in meters; - force fields ending in
_Nare expressed in newtons; - moment fields ending in
_Nmare expressed in newton-meters; - quaternions follow the
qx, qy, qz, qworder; - align tables within a sequence by frame index first, then use timestamps for validation;
- in the long-format
fem_node.csvfiles used byFixed,Free, andObstacle_avoidance, use the frame index together withnode_idas the node-record key; - in the wide-format
Integrated_tasks/fem_node.csv, each row is one frame and node identifiers are embedded in column names.