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Cornelia Fermüller

Cornelia Fermüller
Associate Research Scientist
4459 A.V. Williams Building

Research Interests 

Manipulation actions, event-based vision, mid-level vision, motion analysis, texture, optical illusions


I received an M.S. from the University of Technology, Graz and a Ph.D. from the Technical University of Vienna, Austria in Applied Mathematics. I am Associate Research Scientist at the Center for Automation Research at the Institute for Advanced Computer Studies at UMD. I cofounded the Autonomy Cognition and Robotics (ARC)  Lab and co-lead the Perception and Robotics Group at UMD. I am the PI of an NSF-sponsored Science of Learning Center Network for Neuromporphic Engineering and co-organize the Neuromorphic Engineering and Cognition Workshop.

My research is in the areas of Computer Vision, Robotics, and Human Vision, focusing on biological-inspired solutions for active vision systems. I have modeled perception problems using tools from geometry, statistics and signal processing and developed software in the areas of multiple view geometry, motion, navigation, shape, texture, and action recognition. I have also combined computational modeling with psychophysical experiments to gain insights into human motion and low-level feature perception.

My current work is on robot vision in the following two areas: 
1) Integrating perception, action, and high-level reasoning to interpret human manipulation actions with the ultimate goal of advancing collaborative robots and creating robots that visually learn from humans. 
2) Motion processing for fast active robots (such as drones) using as input bio-inspired event-based sensors. 

Related News 

Czech prime minister views AI, VR, AR and computer vision research
The visit was hosted by ISR Director William Regli and the university’s Office of International Affairs. March 6, 2019

Cornelia Fermüller joins ISR affiliate faculty
The UMIACS associate research scientist focuses on computer vision, robotics and human vision. February 22, 2019

Maryland Robotics Center launches a new postdoctoral fellowship program
The program will foster multidisciplinary collaborations among Maryland Robotics Center faculty. September 14, 2018

Fermuller, Shamma, Etienne-Cummings receive NSF grant for 'Research Coordination Network'
The network will advance understanding of how biological systems learn complex symbolic signals, and create artificial systems with similar capabilities. September 4, 2018

GapFlyt helps aerial robots navigate more like birds and insects
Bio-inspired sensorimotor framework allows quadrotors to fly though unknown gaps without building 3D maps. July 30, 2018

Maynord and Guha are Qualcomm Innovation Fellowship winners
They will receive a $100K fellowship for their project, "Feedback for Vision." April 21, 2016

New research will help cyber-physical systems understand human activities
NSF grant funds Fermüller, Baras and Aloimonos to develop a three-layer architecture. September 16, 2015

Shamma, Horiuchi co-PIs on NSF cortical architectures grant
Research will design systems that perceive and act in cluttered and noisy scenes. September 15, 2015

ARC Lab holds inaugural open house
Lab conducts research in aunonomy, robotics and cognition. February 9, 2015

Robots learn kitchen skills by watching YouTube videos
Autonomous robots can learn and perform complex actions via observation January 20, 2015

Desai, Fermuller, Westlake awarded MPower seed grant for 'GraspVis'
The robotic grasping and vision system will one day help stroke victims. September 1, 2013