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UKF Bearing-Only Target Tracking with Angle-Wrap Traps

  • Task ID: robotics.ukf_bearing_only_tracking
  • Domain: robotics
  • Subdomain: state_estimation
  • Status: test
  • Tags: ukf, bearing_only, target_tracking, angle_wrapping, sigma_points, state_estimation

Public Summary

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Example B1 Prompt Excerpt

# B1
## Goal
A fixed planar observer at `(observer_x, observer_y) = ({{ observer_x }}, {{ observer_y }})` m
records `T = {{ T_steps }}` noisy **bearing-only** measurements of a moving target.
Implement an **unscented Kalman filter (UKF)** that estimates the target state
`[px, py, vx, vy]` (metres and m/s in the world frame) at every step.
Write `analysis.py` in the workspace root. On execution (no CLI arguments) it
must read `data/`, run the full filter, and write `state_history.npy` and

Notes

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