About Me
I am a second year Ph.D. student and a Dean's Fellow in the Perception & Robotics Group (PRG) at University of Maryland, College Park (UMD), advised by Prof. Yiannis Aloimonos and Dr. Cornelia Fermuller. PRG is associated with the University of Maryland Institute of Advanced Computer Science Studies (UMIACS) and Autonomy, Robotics and Cognition Lab (ARC).
Interests: Active perception and deep learning applications to boost multi-robot interaction and navigation ability in aerial robots.
Prior to pursuing Ph.D., I did my Masters in Robotics at UMD where I worked on active behaviour of aerial robots and published GapFlyt where we used motion cues of the aerial agent to detect an unknown-shaped gap using a monocular camera. Apart from research work, I love to teach! I, along with Nitin J. Sanket designed and taught an open-source graduate course: ENAE788M (Hands-On Autonomous Aerial Robotics) at UMD in Fall 2019. In my spare time, I love to capture nature on my camera, especially landscape and wildlife photographs; watch and play competitive video games — Counter Strike and Dota 2.Teaching
This is an advanced graduate course that exposes the students with mathematical foundations of computer vision, planning and control for aerial robots. This course was designed and taught by me and Nitin J. Sanket. The course is designed to balance theory with an application on hardware.
The entire course is open-source! The links to video lectures and projects are given below:
CMSC 733 is an advanced graduate course on classical and deep learning approaches for geometric computer vision and computational photography which explores through image formation, visual features, image segmentation, recognition, motion estimation and 3D point clouds. We redesigned this course to showcase how to model classical 3D geometry problems using Deep Learning!
The entire course is open-source! The link to projects and student outputs are given below:
CMSC 426 is an introductory course on computer vision and computational photography that explores image formation, image features, image segmentation, image stitching, image recognition, motion estimation, and visual SLAM.
The entire course is open-source! The link to projects and student outputs are given below:
Research
Nitin J. Sanket*, Chethan M. Parameshwara*, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermuller, Davide Scaramuzza, Yiannis Aloimonos
* Equal Contribution
IEEE International Confernce on Robotics and Automation (ICRA), Paris, 2020.
Chahat Deep Singh*, Nitin J. Sanket*, Kanishka Ganguly, Cornelia Fermuller, Yiannis Aloimonos
* Equal Contribution
IEEE Robotics and Automation Letters (RAL), vol. 3, no. 4, pp. 2799-2806, Oct. 2018.
Shamsheer Verma, Chahat Deep Singh, Sarthak Mittal, Prateek Arora and Arvind Rehalia.
International Journal of Control Theory and Applications, 09(41) 2016, 473-488. ISSN: 0974-5572. (a.k.a RAVHEN – Reconnaissance Advanced Vehicle for Hostile Environment)
Video Tutorials
Services
RA-L: IEEE Robotics and Automation Letters
ICRA: International Conference on Robotics and Automation
IROS: International Conference on Intelligent Robots and Systems
CVPR: Conference on Computer Vision and Pattern Recognition
ICCV: International Conference on Computer Vision
RSS: Robotics Science and Systems
TVCJ: The Visual Computer Journal, Springer
Contact Me
A108 Adam Street, New York, NY 535022
contact@example.com
+1 5589 55488 55
