Lists (1)
Stars
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
EVA-planner: an EnVironmental Adaptive Gradient-based Local Planner for Quadrotors.
A planner designed for quadrotors in dynamic complex environments.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning
Published on Nature Machine Intelligence! The first real robot(quadrotor) based on differentiable physics training.
A fast and simple implementation of learning algorithms for robotics.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Description of ego planner ros2 simulation in gazebo
Leveraging system development and robot deployment for aerial autonomous navigation.
You Only Plan Once: A Learning Based Quadrotor Planner
A generative world for general-purpose robotics & embodied AI learning.
rt
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
An efficient single/multi-agent trajectory planner for multicopters.
The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.
[IEEE RA-L'26] FLARE: Agile Flights for Quadrotor Cable-Suspended Payload System via Reinforcement Learning
Python Implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
[RA-L 26] Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation