Pinned Repositories
cbf-rrt
self-triggered-control
VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
webotsMultiAgentEnv
This is an Webots environment with omnidirectional-robots for testing algorithms
LQR_CBF_rrtStar
gy2256's Repositories
gy2256/webotsMultiAgentEnv
This is an Webots environment with omnidirectional-robots for testing algorithms
gy2256/cbf-rrt
gy2256/self-triggered-control
gy2256/CarND-Advanced-Lane-Lines
gy2256/CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
gy2256/CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
gy2256/VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
gy2256/acados
Fast and embedded solvers for nonlinear optimal control
gy2256/AeroBenchVVPython
Python Version of F-16 Maneuver Verification Benchmark
gy2256/AerospaceGNCUdemyCourse
Assignments for my Flight Control and Simulation course on Udemy
gy2256/another_drone_sim
gy2256/CarND-Behavioral-Cloning-P3
Starting files for the Udacity CarND Behavioral Cloning Project
gy2256/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
gy2256/gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
gy2256/gym-webots-drone
Webots scene gym environment for drone navigation tasks methods
gy2256/joystick_ros2
Joystick driver for ROS2, support all platforms: Linux, OS X, Windows
gy2256/Lane-Change-CBF
Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382
gy2256/LQR_CBF_rrtStar
gy2256/macbf
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
gy2256/neural_clbf
Toolkit for learning controllers based on robust control Lyapunov barrier functions
gy2256/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
gy2256/Quadrotor-Simulation
Trajectory Planning and control
gy2256/rotorpy
A multirotor simulator with aerodynamics for education and research.
gy2256/rpg_time_optimal
Time-Optimal Planning for Quadrotor Waypoint Flight