Autonomy, Robotics, & Intelligent Algorithms (ARIA) Lab
Lab Mission: We pioneer algorithms for robotic perception & autonomy.
Lab Mission: We pioneer algorithms for robotic perception & autonomy.
Funded PhD positions:
Funded PhD positions:
We have fully-funded PhD positions for students interested in robotics, computer vision, or applied machine learning research (apply here). ARIA Lab is committed to diversity, equity, and inclusion, and we strongly encourage all students—especially women, underrepresented groups, and minorities—to apply.
We have fully-funded PhD positions for students interested in robotics, computer vision, or applied machine learning research (apply here). ARIA Lab is committed to diversity, equity, and inclusion, and we strongly encourage all students—especially women, underrepresented groups, and minorities—to apply.
Opportunities for Mines students:
Opportunities for Mines students:
Every semester, we offer volunteer positions for students interested in robotics. Students are grouped based on their interests into three teams: hardware, autonomy, and SLAM. The hardware team focuses on electric and mechanical robot assembly, the autonomy team works with the Robot Operating System (ROS) and autonomy algorithms, and the SLAM team implements advanced localization and mapping algorithms for testing on robot computers. Additionally, we have opportunities for students who want to conduct research in robotics or related fields, such as machine learning and computer vision, with the potential for paper publication. Explore the lab's research projects, connect with students already involved, and submit your application on the join-us page if you’re interested in joining the lab.
Every semester, we offer volunteer positions for students interested in robotics. Students are grouped based on their interests into three teams: hardware, autonomy, and SLAM. The hardware team focuses on electric and mechanical robot assembly, the autonomy team works with the Robot Operating System (ROS) and autonomy algorithms, and the SLAM team implements advanced localization and mapping algorithms for testing on robot computers. Additionally, we have opportunities for students who want to conduct research in robotics or related fields, such as machine learning and computer vision, with the potential for paper publication. Explore the lab's research projects, connect with students already involved, and submit your application on the join-us page if you’re interested in joining the lab.
Courses:
Courses:
Prof. Fathian teaches "Robotic Mapping & Localization" in the spring and "Computer Vision" in the fall.
Prof. Fathian teaches "Robotic Mapping & Localization" in the spring and "Computer Vision" in the fall.
Office: Brown Hall, 280-N
Office: Brown Hall, 280-N
Lab: Brown Hall, W325
Lab: Brown Hall, W325