Welcome!
Visit our lab website to see members, papers, code, and videos.
Visit our lab website to see members, papers, code, and videos.
About me:
About me:
I am an Assistant Professor of Computer Science at the Colorado School of Mines, and director of the Autonomy, Robotics, & Intelligent Algorithms (ARIA) Lab. Before joining Mines, I was a research scientist at MIT. I received my PhD in Electrical Engineering, MS in Mathematics, and MS in Electrical Engineering from UT Dallas. I got my BS in Electrical Engineering from IKIU, Iran. My CV is available here.
I am an Assistant Professor of Computer Science at the Colorado School of Mines, and director of the Autonomy, Robotics, & Intelligent Algorithms (ARIA) Lab. Before joining Mines, I was a research scientist at MIT. I received my PhD in Electrical Engineering, MS in Mathematics, and MS in Electrical Engineering from UT Dallas. I got my BS in Electrical Engineering from IKIU, Iran. My CV is available here.
Research overview:
Research overview:
Our research at ARIA lab focuses on robotics and computer vision topics such as robust perception, visual navigation, simultaneous localization and mapping (SLAM), multi-robot SLAM, and multi-agent systems. The mission of our lab is to pioneer algorithmic technologies for robust robotic perception and autonomy, such as certifiable perception algorithms, relaxation/estimation techniques for computationally challenging robotic problems, and algorithms that are extremely robust to errors/outliers in the data (e.g., 99% outliers). ARIA lab integrates these technologies into real-world robots, and expands further to multi-robot settings to create a resilient internet of robot teams that communicate and compute on the cloud.
Our research at ARIA lab focuses on robotics and computer vision topics such as robust perception, visual navigation, simultaneous localization and mapping (SLAM), multi-robot SLAM, and multi-agent systems. The mission of our lab is to pioneer algorithmic technologies for robust robotic perception and autonomy, such as certifiable perception algorithms, relaxation/estimation techniques for computationally challenging robotic problems, and algorithms that are extremely robust to errors/outliers in the data (e.g., 99% outliers). ARIA lab integrates these technologies into real-world robots, and expands further to multi-robot settings to create a resilient internet of robot teams that communicate and compute on the cloud.
News:
News:
- I organized the ICRA 2022 workshop on robotic perception and mapping, which had the highest number of registrants across all ICRA workshops. Invited talks are available at https://youtu.be/lu2e-ENmgqc (May 22)
- I organized the ICRA 2020 workshop on emerging data association techniques. Talks are available at https://youtu.be/-lEVvtsfz0I (May 20)
Office:
Office:
Brown Hall, 280-N
Brown Hall, 280-N
Colorado School of Mines
Colorado School of Mines