Comments (2)
from gym-pybullet-drones.
The controller tuning was done as part of this work: https://arxiv.org/pdf/1810.03572.pdf. Xintong is able to provide further details if needed. Overall, the controller gains were first tuned using a simple second-order model, and then fine-tuned using the Crazyflie hardware.
from gym-pybullet-drones.
Related Issues (20)
- no attribute 'SIM_FREQ' HOT 18
- singleagent.py: user warning. Recommends transition from Open AI gym env to gymnasium env HOT 1
- No TakeOffAviary.py in gym-pybullet-drones/gym_pybullet_drones/envs /single_agent_rl/ HOT 1
- fail in reproducing the result of hover HOT 7
- Multiagent training HOT 1
- mutliagent.py allow 3D flight? HOT 3
- pybullet fails to install on python 3.10 venv HOT 2
- what could be the reason that example with betaflight does not work? HOT 1
- learn.py, expected performance, steps, and hardware? HOT 2
- unable to see logger file output at output_folder for learn.py HOT 3
- ModuleNotFoundError: No module named 'gym_pybullet_drones' HOT 3
- Have you ever comfirm controlling one drone with "rpm" using learn.py ? HOT 14
- PX4 integration HOT 4
- Cannot run simulation on linux Fedora HOT 10
- Question about action buffer HOT 2
- Custom training environment HOT 4
- Questions Related to Multiagent Evaluation HOT 8
- How can I use the NVIDIA GPU in Docker to run this project? HOT 2
- self.TIMESTEP not defined in BaseAviary Class HOT 1
- A Drag function mistake HOT 1
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from gym-pybullet-drones.