Useful Snapshot: We develop a platform capable of generating fuel optimal trajectories towards a goal while aggressively Obstacle avoidance in leader-follower formation using artificial potential field algorithm
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Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments Obstacle avoidance in leader-follower formation using artificial potential field algorithm Carnegie Mellon 16-662 - Spring 2014 - Robot Autonomy Project Advisor: Nathan Michael We implemented an A*
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Carnegie Mellon 16-662 - Spring 2014 - Robot Autonomy Project Advisor: Nathan Michael We implemented an A* We develop a platform capable of generating fuel optimal trajectories towards a goal while aggressively
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- Obstacle avoidance in leader-follower formation using artificial potential field algorithm
- Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments
- An uncut video of the AgileQuad demonstrating its reactive controller that provides agile
- We develop a platform capable of generating fuel optimal trajectories towards a goal while aggressively
- Carnegie Mellon 16-662 - Spring 2014 - Robot Autonomy Project Advisor: Nathan Michael We implemented an A*
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