Stars
PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
DECISION: Deep rEcurrent Controller for vISual NavigatION
C++/Eigen3 implementation of the L1-norm minimization using homotopy
Automatically generate an MPC controller using ACADO toolkit.
Note for Apollo 3.0 perception, prediction and planning modules
Train lidar apollo instance segmentation CNN
interior point method for linear programming
Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)
Python sample codes and textbook for robotics algorithms.
A C implementation of the Vector Field Histogram algorithm for local path planning.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
robotics-upo / aruco_ros
Forked from pal-robotics/aruco_rosSoftware package and ROS wrappers of the Aruco Augmented Reality marker detector library
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.