MuJoCo / PyBullet Physics Simulation Jobs

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    I need an implementable approach that lets a swarm of autonomous drones discover the most efficient path through AI technologies in a busy urban landscape while constantly negotiating dynamic obstacles such as cars and pedestrians. The emphasis is on efficiency rather than simple collision-free travel, so your solution should balance travel time, energy usage and real-time rerouting without spreading the drones too far apart. I am open to a bio-inspired technique—ant colony optimisation, particle swarm, artificial bee or a hybrid—so long as it scales cleanly from small (5–10 drones) to medium fleets (50+). Please choose libraries and simulation tools you are confident with; ROS 2, PX4, Gazebo, Webots, Python fine if they help you deliver quickly. Deliverables • W...

    $208 Average bid
    $208 Avg Bid
    30 bids

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