The project builds a comprehensive robotic system capable of autonomous navigation. This includes designing a feedback controller to regulate motor speed and a velocity-based movement controller, implementing 2D mapping using Lidar for simultaneous localization and mapping (SLAM), and constructing a path planner for effective navigation.

Implementation of SLAM and Path Planning (A*) with MBot as Forklift. ROB550 Robotics Systems Lab

The resources for Claptrap, a room mapping robot

Multi-Sensor Time Synchronisation System

LiDAR SLAM code for PiBot a custom Raspberry Pi4 and ESP32 based robot.

SLAM implementation

This is code for arduino

Botlab for ROB 550 @ UMich Robotics

Simultaneous localization and mapping (SLAM) tools in 3D

OpenVIO is an open-source hardware project which aims to allow anyone to collect precisely synchronised visual and inertial data.

A ROS wrapper for HiPNUC HI216.

Sample code and supplementary materials of IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 paper: "Quasi-globally Optimal and Real-time Visual Compass in Manhattan Structured Environments"

EE 175 Senior Design. Multibaseline Stereo Camera

Implementation of our Video Synchronization paper in TensorFlow (ICMLA 2017)

A lightweight, user-friendly and interactive 3D visualization tool for viewing real-time 3D reconstruction and SLAM

use mrpt lib and Qt for my robot control ,rbpf-slam and navigation...

This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.

Project for ROB 550. Implementing SLAM using LIDAR, wheel encoders and IMU on MBot.

ROS raspberry pi "roomba" like robot

This repository contains the current competition code (2018). This code will be used for the IARRC 2018. This code currently handles LIDAR mapping, trajectory rollout, PID speed control, lane detection and traffic light detection.