Chris Urmson: Perspectives on Self-Driving Cars – Teruko Yata Memorial Lecture in Robotics
SPEAKER: Chris Urmson, CEO & co-founder Aurora Title: Perspectives on Self-Driving Cars Abstract: Self-driving vehicles will save millions of lives, make cities more liveable, save resources, and transform transportation to be more accessible and enjoyable for everyone. Despite a decade of rapid advancement in the state-of-the-art, perception of the technology still lands somewhere between solved [...]
Visual Analysis of Dense Crowds
Event Location: Newell Simon Hall 1507Bio: Haroon Idrees is a postdoctoral researcher in the Center for Research in Computer Vision (CRCV) at the University of Central Florida (UCF). He is interested in machine vision and learning, with focus on crowd analysis, action recognition, multi-camera and airborne surveillance, as well as deep learning and multimedia content [...]
Haroon Idrees: Visual Analysis of Dense Crowds
Haroon Idrees Post Doc Associate, Center for Research in Computer Vision, University of Central Florida (UCF) Abstract Automated analysis of dense crowds is a challenging problem with far-reaching applications in crowd safety and management, as well as gauging political significance of protests and demonstrations. In this talk, I will first describe a counting approach which [...]
2017 National Robotics Week Celebration
The Robotics Institute will celebrate the eighth annual National Robotics Week on April 20, 21 & 22 with lectures, project demonstrations, the annual Mobot (mobile robot) races, a reception for RI affiliated people and NREC Industry Day. REGISTRATION IS NOW OPEN REGISTER HERE If you have any specific questions about the National Robotics Week open [...]
Sankalp Arora: Safe, Efficient Data Gathering in Physical Spaces
Sankalp Arora Ph.D. Thesis Proposal Abstract: Reliable and efficient acquisition of data from physical spaces will have countless applications in industry, policy and defense. The capability of gaining information at different scales makes Micro-Aerial Vehicles (MAVs) excellent for aforementioned applications. However, reasoning about information gathering at multiple resolution is NP-Hard and the state of the [...]
Toward Deep Geometric Image Understanding
Event Location: Newell Simon Hall 1507Bio: Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from [...]
Seungmoon Song: The Development, Evaluation and Applications of a Neuromechanical Control Model of Human Locomotion
Seungmoon Song Ph.D. Thesis Defense Abstract: The neural control of human locomotion is not fully understood. As current experimental techniques provide only partial and indirect access to the neural control network, our understanding remains fragmentary with large gaps between detectable neural circuits and measurable behavioral data. Neuromechanical simulation studies can help bridging these gaps. By [...]
Juan Pablo Mendoza: Regions of Inaccurate Modeling for Robot Anomaly Detection and Model Correction
Juan Pablo Mendoza Ph.D. Thesis Defense Abstract: To make intelligent decisions, robots often use models of the stochastic effects of their actions on the world. Unfortunately, in complex environments, it is often infeasible to create models that are accurate in every plausible situation, which can lead to suboptimal performance. This thesis enables robots to reason [...]
Sasanka Nagavalli: Behavior Composition in Human Interaction with Robotic Swarms
Sasanka Nagavalli Ph.D. Thesis Proposal Abstract: Robotic swarms are multi-robot systems whose global behavior emerges from local interactions between individual robots and spatially proximal neighboring robots. Each robot can be programmed with several local control laws that can be activated depending on an operator's choice of global swarm behavior (e.g. flocking, aggregation, formation control, area [...]