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evButtonPush — 30Hz Multi-Camera RGB Demo Set v01

개요 / Overview

엘리베이터 콜 버튼 누르기 task에 대한 ROBOTIS OMY 6-DoF 매니퓰레이터 시연 데이터셋. Isaac Sim 5.1 + Isaac Lab 환경에서 scripted teacher (DLS-IK + force-feedback)로 자동 수집.

Imitation learning demo dataset for elevator call button press task using ROBOTIS OMY 6-DoF arm. Collected automatically via scripted teacher (DLS-IK + force-feedback) in Isaac Sim 5.1 + Isaac Lab.

데이터셋 정보 / Dataset Info

항목
Demos 40
모두 success=True ✅ (button_pressed + LED_lit + door_open + home_reached)
Frames per demo ~568 (variable)
Total frames ~22,720
Action/observation rate 30 Hz (sim 60 Hz physics, decimation=2)
Image resolution 1920 × 1200
Cameras 3 cams: cam_wrist (link6 mounted), cam_top, cam_belly
Action space 7-dim (6 arm joints + 1 binary gripper)
State obs qpos, qvel (10), eef_pos (3), eef_quat (4), call_button_pos (3), rel_dist (3), call_button_lit (1), action history
Total file size ~31 GB
Format Single HDF5 (multi-episode)

HDF5 구조 / Structure

data/
  demo_0/
    actions (T, 7) float32
    obs/
      cam_wrist (T, 1200, 1920, 3) uint8
      cam_top (T, 1200, 1920, 3) uint8
      cam_belly (T, 1200, 1920, 3) uint8
      joint_pos (T, 10) float32
      joint_vel (T, 10) float32
      eef_pos (T, 3) float32
      eef_quat (T, 4) float32
      call_button_pos (T, 3) float32
      rel_ee_call_button_distance (T, 3) float32
      call_button_lit (T, 1) float32
      actions (T, 7) float32
    initial_state/  (joint_position, root_pose, etc.)
    states/         (per-step robot/scene physics state)
  demo_1/
  ...
  demo_39/

각 demo 그룹 attrs: success: True, num_samples: T.

Task / 환경 정보

  • Task: RobotisLab-CallButton-Right-OMY-Aux-v0
  • Sim: Isaac Sim 5.1, Isaac Lab
  • Robot: OMY (6-DoF, RH-P12-RN gripper, 4-finger mimic)
  • Scene:
    • Pedestal (cube, 0.8m × 0.8m × 0.908m)
    • Robot mounted on pedestal
    • Elevator (random USD from 100 variants per episode, hall-side facing)
    • Call button (CallBtn_0) on right side
  • Light: DomeLight 5600 intensity, randomized per episode
  • Robot init: front-of-button, 55-65cm standoff, ±5cm lateral random, joint randomization (Gaussian, std 0.02 rad)

수집 명령어 / Collection Command

# 30 demos (seeds 0-29)
/isaac-sim/python.sh scripts/my_codes/diffik_teacher_jointpos_aux.py \
  --num-demos 30 --seed 0 --headless --enable_cameras \
  --approach-steps 50 --press-steps 200 --stall-steps 10 \
  --contact-force-threshold 5.0 --hold-steps 15 \
  --return-steps 150 --home-idle-steps 75 --press-depth 0.035 \
  --dataset-file demo.hdf5

# 10 more (seeds 30-39) — same params

Teacher Phases (per demo)

Phase Steps (30Hz) 설명
settle initial Gripper close + physics settle
approach 50 Joint-space cubic smoothstep HOME → goal_pre_q (IKPy)
press up to 200 DLS micro-thrust 4mm/step toward button (PUSH_STEP_M=0.004)
hold 15 Dwell after contact
retract 150 Smoothstep back to goal_pre_q
home_idle 75 Hold at HOME

Press validation: gripper finger contact force > 5N triggers FSM button press → LED + door.

Notes / 비고

  • Per-demo 30 Hz action rate is more realistic for real-world deployment (vs 60 Hz). Total wall-time per demo ~19s.
  • All 40 demos verified success=True (pressed + LED lit + door opened + home reached).
  • Image dimensions match Isaac Sim camera annotator output (1920 × 1200 PinholeCameraCfg).

License

Apache 2.0 (model + data).

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