Computer science PhD student Bailey Miller and co-authors Hanyu Chen, Alice Lai, and Ioannis Gkioulekas have received an honorable mention for best student paper at the 2024 IEEE Conference on Computer Vision and Pattern Recognition, held in Seattle, Washington. Their paper, titled, “Objects as volumes: A stochastic geometry view of opaque solids,” develops a theory [...]

A research group at Carnegie Mellon University's Robotics Institute will soon host the CMU Vision-Language-Autonomy Challenge, bringing researchers together at the intersection of computer vision, natural language understanding, and navigation autonomy. The challenge aims to progress computer vision and AI-research in real-world systems. The team has created an award-winning navigation autonomy system over the last [...]

It's spring on the Carnegie Mellon University campus, and students divided into teams focused on communications, guidance navigation and control (GNC), and vision have their heads together trying to simulate how a satellite collects and transmits usable images. Across the room, their peers on the avionics team have laid out rows of circuit boards and [...]

SCS Founders University Professor Takeo Kanade will receive the BBVA (Banco Bilbao Vizcaya Argentaria) Foundation's Frontiers of Knowledge Award in Information and Communication Technologies for developing the mathematical foundations for computer vision and robot perception. Learn more and watch the livestream of the presentation ceremony from Bilbao, Spain via the BBVA Foundation's website on Thursday, [...]

Researchers at the Carnegie Mellon Robotics Institute have introduced a learning-based control framework called Agile But Safe (ABS). The framework– developed and programmed by Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi– enables quadrupedal robots to move in a collision-free manner in confined indoor and outdoor environments. When programmed with ABS, [...]