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Update README.md
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README.md
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@@ -43,7 +43,7 @@ of the [ledrone](https://github.com/ahive-org/ledrone) project.
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| Task | `takeoff`
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| Type | Goal-conditioned, **state-based** (FPV image is an optional auxiliary) |
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| Episodes | 300 |
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| Frames | 60,000 (200/episode, 6.7s at 30 Hz) |
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- **DART-style coverage** ([Laskey et al. 2017](https://arxiv.org/abs/1703.09327)): the
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drone is driven by a *noised* command (σ = 0.15 m/s on the velocity channels) but each
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frame is **labelled with the clean expert command**
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off-distribution states *and* the optimal correction for them, mitigating
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behavior-cloning covariate shift.
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- **Slew-rate-limited setpoint** ramps the command from rest, taming the low-level
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State is the SOTA quadrotor policy observation (relative goal + velocity + orientation +
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body rates); **battery is intentionally excluded** (handled by domain randomization, not
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observed
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a unit quaternion; map to a continuous 6D rep
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([Zhou et al., CVPR 2019](https://arxiv.org/abs/1812.07035)) if desired. `action` is a
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NED velocity + yaw rate clipped to the envelope (≤ 2 m/s horizontal, ≤ 1 m/s climb,
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Analysis across all three `ledrone` tasks, computed from this DART-regenerated data.
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**Signature trajectories**
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**Convergence & attitude**
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**Command / action space**
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| Task | `takeoff` : climb from the ground and hold a target altitude |
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| Type | Goal-conditioned, **state-based** (FPV image is an optional auxiliary) |
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| Episodes | 300 |
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| Frames | 60,000 (200/episode, 6.7s at 30 Hz) |
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- **DART-style coverage** ([Laskey et al. 2017](https://arxiv.org/abs/1703.09327)): the
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drone is driven by a *noised* command (σ = 0.15 m/s on the velocity channels) but each
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frame is **labelled with the clean expert command** : so the policy sees
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off-distribution states *and* the optimal correction for them, mitigating
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behavior-cloning covariate shift.
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- **Slew-rate-limited setpoint** ramps the command from rest, taming the low-level
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State is the SOTA quadrotor policy observation (relative goal + velocity + orientation +
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body rates); **battery is intentionally excluded** (handled by domain randomization, not
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observed : Hwangbo 2017, Molchanov 2019, Kaufmann ICRA 2022 / Nature 2023). Attitude is
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a unit quaternion; map to a continuous 6D rep
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([Zhou et al., CVPR 2019](https://arxiv.org/abs/1812.07035)) if desired. `action` is a
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NED velocity + yaw rate clipped to the envelope (≤ 2 m/s horizontal, ≤ 1 m/s climb,
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Analysis across all three `ledrone` tasks, computed from this DART-regenerated data.
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**Signature trajectories** : takeoff climbs from the ground, hover converges & station-keeps, circle flies full loops (>= 360 deg).
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**Convergence & attitude** : every task drives the goal error to near-zero (circle keeps a small steady tracking lag from following a moving target); body tilt stays gentle (median ~10 deg, 95% <= 35 deg).
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**Command / action space** : takeoff & hover station-keep at ~0.1 m/s while circle orbits at ~1.3 m/s; the climb command is bimodal for takeoff; yaw-rate is centered on the goal bearing.
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