PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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Updated
Jun 7, 2024 - Python
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Quadrotor control, path planning and trajectory optimization
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
A General-Purpose Trajectory Optimizer for Multicopters
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Policy Search for Model Predictive Control with Application to Agile Drone Flight
The dRonin flight controller software.
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Simulate the path planning and trajectory planning of quadrotors/UAVs.
iterative Linear Quadratic Regulator with constraints.
Geometric controllers developed at FDCL for UAVs
EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
This is a dynamic simulation for quadrotor UAV
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