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Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals

Talkat CHI 2016 · 2016-05-07..05-12· [robotics, ai-assisted-development]
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An interactive design tool turns sketched keyframes into physically feasible quadrotor flights by discretizing time, using a 4-DOF linear mass-point model and solving a quadratic program (add inequality bounds for accel/force); camera objectives make the problem nonconvex and are solved iteratively. It models a gimbal with an angular penalty and a perspective-cost, is validated indoors with a motion capture system, executes real flights (one shot rotates ~100 degrees while keeping the target in view), and fails on highly aggressive or moving-target scenes.

AI-written summary · about

  1. 0:00Introduction to quadrotor filming challenges
  2. 1:34Design tool for flight planning
  3. 3:22Physical feasibility of trajectories
  4. 6:10Linear model for optimization
  5. 9:01Generating feasible trajectories
  6. 10:51Including camera constraints
  7. 12:18Perspective and aesthetic goals
  8. 13:43Real-world flight demonstrations
  9. 14:48Limitations and future work
  10. 15:29Conclusion and Q&A
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