Cartesian state dataset for quadrotor-cable identification (Lagrangian dynamics).
training/
ID_0.csv … ID_9.csv 10 experiments, ~113k rows total
testing/
H0.csv hovering
B1.csv back-and-forth 1 s period
B4.csv back-and-forth 4 s period
B10.csv back-and-forth 10 s period
C1_5.csv circular 1.5 s period
C5.csv circular 5 s period
| Column | Description |
|---|---|
time |
Time stamp (s) |
position_x/y/z |
Drone position (m) |
roll/pitch/yaw |
Drone orientation (rad) |
roll_vel/pitch_vel/yaw_vel |
Angular velocities (rad/s) |
velocity_x/y/z |
Drone velocity (m/s) |
cable_x_0 … cable_x_5 |
Cable endpoint positions (m) |
cable_x |
Cable angle (rad) |
cable_x_vel |
Cable angular velocity (rad/s) |
thrust |
Total thrust (N) |
torque_x/y/z |
Body torques (N·m) |
exp_id |
Experiment index (training only, 0–9) |
label |
Trajectory name (testing only) |
- All trajectories resampled to 100 Hz.
- Training experiments normalized to 40 s each.
- Testing trajectories kept at original duration.