Project Info
Semantic Mapping for Robot Indoor Localization and Navigation
Hao Zhang | hzhang@mines.edu
The goal of the project is to develop a software package to enable semantic mapping of an indoor environment for mobile robots to perform autonomous indoor localization and navigation. Accurate indoor positioning has potential to transform the way robots/people navigate indoors in a similar revolutionary manner that Global Positioning System (GPS) has transformed outdoor positioning. Semantics (e.g., objects) associated with the map allows to better understand the surrounding environment for navigation and interaction. The constructed map can also be used as a virtual environment for robot simulation and human training in virtual reality.
More Information
Human-Centered Robotics Lab: http://hcr.mines.edu
Grand Engineering Challenge: Enhance virtual reality
Student Preparation
Qualifications
C++ and Python programming skills are required. Experience in Robot Operating System (ROS), computer vision, and robot control is preferred.
Time Commitment
20 hours/month
Skills/Techniques Gained
Design skills of software packages and integrated complex hardware-software system, research skills of applying artificial intelligence techniques to robotics, and collaboration skills to work in an interdisciplinary team.
Mentoring Plan
The undergraduate student will collaborate with PhD students working on related projects, so the student can have day-to-day communication with other teammates. The student will also meet with the professor weekly and attend group meetings of the Human-Centered Robotics Lab.