Rate My Professor Jana Kosecka

Kosecka's research interests encompass computer vision, robotics, and artificial intelligence, particularly the acquisition of static, dynamic, and semantic models of environments via visual sensing, object recognition, scene parsing, visual perception, navigation, machine learning, and human-robot interaction. She is the co-author of over 90 publications in refereed venues, including the monograph 'An Invitation to 3-D Vision: From Images to Geometric Models' (Springer, 2004) with Yi Ma, Stefano Soatto, and S. Shankar Sastry. Select papers include 'Video Compass' (European Conference on Computer Vision, 2002) and 'Vision Guided Navigation for a Nonholonomic Mobile Robot' (The International Journal of Robotics Research, 1999). Her contributions have advanced embodied AI and semantic scene understanding. Kosecka was elected IEEE Fellow in 2023 for contributions to robust embodied vision systems and semantic modeling in robotics, co-received the Marr Prize in 1999, earned an NSF CAREER Award, and received a 2022 Amazon Research Award for hand-shape modeling in American Sign Language recognition. She chairs the IEEE RAS Technical Committee on Robot Perception and has given keynotes, including at ICRA 2018.