Drone Swarm Mesh Network Rapid Construction Method

Drone Swarm Mesh Network Rapid Construction Method

Drone Swarm

https://www.nist.gov/additive-manufacturing

https://mitsloan.mit.edu/ideas-made-to-matter/additive-manufacturing-explained

-------------

https://ep.jhu.edu/courses/515655-metal-additive-manufacturing/

Metal Additive Manufacturing Laboratory https://www.memphis.edu/mamlab/

-------------

PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research https://arxiv.org/abs/2304.01305

-------------

AI trainer clock rate acceleration -Gemini

import time

virtual_time = 0.0

simulation_speed_multiplier = 24

real_time_start = time.time()

for _ in range(1000):

    # Perform simulation steps

    virtual_time += 0.01 * simulation_speed_multiplier # Advance virtual time

    # ... your simulation logic ...

    time.sleep(0.01) # Keep real time pacing for the simulation

real_time_end = time.time()

print(f"Virtual time elapsed: {virtual_time}")

print(f"Real time elapsed: {real_time_end - real_time_start}")

-------------

https://github.com/sieuwe1/Autonomous-Ai-drone-scripts

https://github.com/gregora/Drone-AI

https://github.com/alexkoven/Autonomous-UAVs

BeAM Metal 3D Printing by anonymous

"""Spawns six drones, then sets all drones to have different looprates."""

import numpy as np

from PyFlyt.core import Aviary

# the starting position and orientations

start_pos = np.array([[-1.0, 0.0, 1.0], [0.0, 0.0, 1.0], [1.0, 0.0, 1.0],

[-1.0, 1.0, 1.0], [1.0, -1.0, 1.0], [1.0, 1.0, 1.0]])

start_orn = np.zeros_like(start_pos)

# modify the control hz of the individual drones

drone_options = []

drone_options.append(dict(control_hz=60))

drone_options.append(dict(control_hz=120))

drone_options.append(dict(control_hz=240))

drone_options.append(dict(control_hz=60))

drone_options.append(dict(control_hz=120))

drone_options.append(dict(control_hz=240))

# environment setup

env = Aviary(

start_pos=start_pos,

start_orn=start_orn,

render=True,

drone_type="quadx",

drone_options=drone_options,

)

# set to position control

env.set_mode(7)

# simulate for 1000 steps (1000/120 ~= 8 seconds)

for i in range(1000):

env.step()