Our group recently published the paper:

• S. Diamantas, K. Alexis, "Modeling Pixel Intensities with Log-Normal Distributions for Background Subtraction", IEEE International Conference on Imaging Systems and Techniques, 2017

​This video presents results on autonomous exploration and simultaneous object search through semantically-enhanced path planning for aerial robots.

​This video presents results on autonomous exploration and mapping of tunnel environments using the developed Multi-Modal Mapping Unit (M3U). The M3U tightly synchronized a stereo camera pair with an Inertial Measurement Unit and super-bright flashing LEDs, while it further fuses time-of-flight 3D depth sensors. It allows for GPS-denied localization and mapping visually-degraded environments, an ability that is then combined with autonomous exploration path planning.

The Autonomous Robots Lab provided a series of talks during September and October and specifically:

• A workshop talk on robotic inspection at the IROS 2017 workshop "Perception and Planning for Robotic Inspection" (provided by Dr. Kostas Alexis)
• A keynote at an NSF workshop organized at Omaha. The talk topic was: "Robotic Inspection for Infrastructure Facilities and Nuclear Sites" (provided by Dr. Kostas Alexis)
• A Seminar Talk at the University of Maryland on "Cognizant Autonomous Exploration and Mapping using Aerial Robots" (Link to the talk) (provided by Dr. Kostas Alexis)
• A talk at the Silicon Mountain seminar series on "Self flying drones: on a mission to navigate dark, dangerous and unknown worlds" (provided by Dr. Christos Papachristos)