VASC Seminar
Andreas Wendel

Visual Outdoor Perception for Micro Aerial Vehicles

Event Location: NSH 1305Bio: Andreas Wendel received his B.Sc. and M.Sc. degree in Telematics (computer science and electrical engineering) from Graz University of Technology in 2007 and 2009, respectively. His studies were focused on computer vision and cognitive signal processing and he finished with highest distinction. Currently he is the head of the Aerial Vision [...]

PhD Thesis Defense
Umashankar Nagarajan
Carnegie Mellon University

Fast and Graceful Balancing Mobile Robots

Event Location: NSH 1305Abstract: Personal mobile robots will soon be operating and closely interacting with us in human environments. Balancing mobile robots can be effective personal robots as they can be tall enough for eye-level interaction and narrow enough to navigate cluttered environments, and they also have the dynamic capabilities to move with speed and [...]

PhD Thesis Defense
Prasanna Velagapudi
Carnegie Mellon University

Distributed Planning Under Uncertainty for Large Teams

Event Location: NSH 1305Abstract: In many domains, teams of hundreds of agents must cooperatively plan to perform tasks in a complex, uncertain environment. This requires that each agent take into account teammates' states, observations, and actions when making decisions about its own actions. Naively, finding a good policy involves searching this large joint space, but [...]

PhD Thesis Defense
Brian C. Becker
Carnegie Mellon University

Vision-Based Control of a Handheld Micromanipulator for Robot-Assisted Retinal Surgery

Event Location: NSH 1507Abstract: Surgeons increasingly need to perform complex operations on extremely small anatomy. Many existing and promising new surgeries are effective, but difficult or impossible to perform because humans lack the extraordinary control required at sub-millimeter scales. Using micromanipulators, surgeons gain higher positioning accuracy and additional dexterity as the instrument removes tremor and [...]

PhD Thesis Defense
Santosh K. Divvala
Carnegie Mellon University

Context and Subcategories for Sliding Window Object Recognition

Event Location: NSH 3305Abstract: Object recognition is one of the fundamental challenges in computer vision, where the goal is to identify and localize the extent of object instances within an image. The current de facto standard for building high-performance object category detectors is the sliding window approach. This approach involves scanning an image with a [...]

PhD Thesis Defense
Alvaro Collet Romea
Carnegie Mellon University

Lifelong Robotic Object Recognition

Event Location: NSH 3305Abstract: In this thesis, we study the topic of Lifelong Robotic Object Perception. We propose, as a long-term goal, a framework to recognize known objects and to discover unknown objects in the environment as the robot operates, for as long as the robot operates. We build the foundations for Lifelong Robotic Object [...]