Seminar
Stabilizing the Unstable Brain
Noah Cowan Associate Professor of Mechanical Engineering, Johns Hopkins University Abstract The nervous system is arguably the most sophisticated control system in the known universe, riding at the helm of an equally sophisticated plant. Understanding how the nervous system encodes and processes sensory information, and then computes motor action, therefore, involves understanding a closed loop. [...]
Robot Skill Learning: From the Real World to Simulation and Back
Event Location: NSH 1305Bio: Dr. Peter Stone is the David Bruton, Jr. Centennial Professor and Associate Chair of Computer Science, as well as Chair of the Robotics Portfolio Program, at the University of Texas at Austin. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was [...]
Robot Skill Learning: From the Real World to Simulation and Back
Peter Stone David Bruton, Jr. Centennial Professor, The University of Texas at Austin Abstract For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of interacting skills. This talk begins by introducing "Overlapping Layered Learning" as a novel hierarchical machine learning paradigm for [...]
Intuitive Physics & Intuitive Behavior
Event Location: Newell Simon Hall 1507Bio: Pulkit is a PhD Student in the department of Computer Science at UC Berkeley. His research focuses on computer vision, robotics and computational neuroscience. He is advised by Dr. Jitendra Malik. Pulkit completed his bachelors in Electrical Engineering from IIT Kanpur and was awarded the Director’s Gold Medal. He is a recipient of Fulbright Science [...]
Deep Robotic Learning
Sergey Levine Assistant Professor, UC Berkeley Abstract Deep learning methods have provided us with remarkably powerful, flexible, and robust solutions in a wide range of passive perception areas: computer vision, speech recognition, and natural language processing. However, active decision making domains such as robotic control present a number of additional challenges, standard supervised learning methods [...]
The lifetime of an object – an object’s perspective onto interactions
Event Location: Newell Simon Hall 1507Bio: Lecturer (Assistant Professor) in Computer Vision at the University of Bristol. Received her PhD from the University of Leeds (2009). Dima's research interests are in the automatic understanding of object interactions, actions and activities using static and wearable visual (and depth) sensors. Dima co-chaired BMVC 2013, is area chair [...]
The lifetime of an object – an object’s perspective onto interactions
Dima Damen Assistant Professor, University of Bristol, United Kingdom April 10, 2017, 3:00-4:00 p.m., Newell Simon Hall 1507 Abstract As opposed to the traditional notion of actions and activities in computer vision, where the motion (e.g. jumping) or the goal (e.g. cooking) is the focus, I will argue for an object-centred perspective onto actions and [...]
Computer Vision @ Scale
Manohar Paluri Research Lead, Facebook Abstract Over the past 5 years the community has made significant strides in the field of Computer Vision. Thanks to large scale datasets, specialized computing in form of GPUs and many breakthroughs in modeling better convnet architectures Computer Vision systems in the wild at scale are becoming a reality. At [...]
“Ensuring Safe Human-Robot Co-Existence by Reachability Analysis”
Matthias Althoff Technische Universität München Abstract Modern manufacturing companies are expected to quickly and efficiently adapt to production changes, and robotics has long been known as the candidate solution for the required flexibility. To improve such flexibility, future working environments will be populated by both humans and robot manipulators, sharing the same workspace. This scenario [...]