Pinned Repositories
2d-curve-path-planner
Path planner for car like non-holonomic robots
AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
CMPCC
CMPCC: Corridor-based Model PredictiveContouring Control for Aggressive Drone Flight
Dig-into-Apollo
Apollo learning notes
full_coverage_path_planner
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
lidar_body_tracking
ROS Catkin package to track people using octree and cluster extraction
multi_robot_traj_planner
path_planning_2d
stochastic 2-D motion planning with a POMDP framework
Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【周更】
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
NEU-ZJX's Repositories
NEU-ZJX/human_aware_navigation
The human_aware_navigation repository includes ROS packages to enable the planning of navigation paths that take human comfort into account
NEU-ZJX/lattice_planner
The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.
NEU-ZJX/model_predictive_navigation
A sample ROS package that provides model predictive equilibrium point control for the turtlebot simulator.
NEU-ZJX/nonholonomic-improved-RRT-path-planning-using-BSpline
nonholonomic improved RRT path planning using BSpline and heuristic function
NEU-ZJX/PathPlanner
Simple smooth PathPlanner for differential wheeled robot
NEU-ZJX/ROS-Bug-Algorithm
An implementation of a bug algorithm using ROS
NEU-ZJX/timed_path_follower
NEU-ZJX/topological_navigation_fuerte
A version of the topological_navigation stack (http://wiki.ros.org/topological_navigation) that can run in ROS Fuerte.
NEU-ZJX/trajectories
Time-Optimal Path Following with Bounded Acceleration and Velocity
NEU-ZJX/voxel_grid_tracking
Method able to detect the location and estimate the motion of obstacles, using just a 3D point cloud and odometry information as input.