Multi-agent Pickup and Delivery Planning with Transfers
Event Location: GHC 2109Abstract: In Pickup and Delivery Problems (PDPs), mobile vehicles retrieve and deliver a set of items. The PDP is a well-studied, NP-hard problem. Examples of the PDP include mail and courier services, taxis, ridesharing services, and robots such as our own CoBots and CreBots, which retrieve and deliver items for the occupants [...]
Why Virtual Reality Isn’t the Next Big Platform
Event Location: GHC 6115Bio: Over the last 30 years, Michael has worked at companies that made graphics hardware, computer-based instrumentation, and rendering software, been the GDI lead for the first couple of versions of Windows NT, worked with John Carmack on Quake, worked on Xbox and Xbox 360, written or co-written at least four software [...]
Why Virtual Reality Isn’t the Next Big Platform
Event Location: GHC 6115Bio: Dov Katz is leading Oculus VR's computer vision R&D. He is passionate about human and computer perception. His research interest include computer vision, machine learning, and autonomous manipulation. At Oculus, he developed a high precision - low latency optical position tracking system. He is currently engaged in several projects that will [...]
Mapping & Localizing on the Beating Heart
Event Location: NSH 1507Abstract: In the United States the annual cost of cardiovascular disease exceeds $475 billion. Medical imaging costs more than $100 billion annually, with cardiovascular imaging representing almost one-third. Any approach that can reduce the need for imaging in cardiovascular care has the potential to provide significant savings. Without direct visualization of the [...]
CANCELED – Understanding Cars: Leveraging Real World Knowledge in Computer Vision
Event Location: NSH 1507Bio: Yair Movshovitz-Attias is a PhD student in the Computer Science Department, advised by Prof. Yaser Sheikh and Prof. Takeo Kanade. His research interests include object detection, image classification and fine-grained recognition. Yair has an MSc in Computer Science and a BSc in Computer Engineering from the Hebrew University of Jerusalem. He [...]
Coherent Scene Understanding with 3D Geometric Reasoning
Event Location: NSH 1305Abstract: When looking at a single 2D image of a scene, humans could effortlessly understand the 3D world behind the scene even though stereo and motion cues are not available. Due to this remarkable human capability, one of the ultimate goals of computer vision is to enable machines to automatically infer the [...]
Experience Graphs: Leveraging Experience in Planning
Event Location: NSH 1305Abstract: Motion planning is a central problem in robotics and is crucial to finding paths to navigate and manipulate safely and efficiently. Ideally, we want planners which find paths quickly and of good quality. Additionally, planners should generate predictable motions, which are safer when operating in the presence of humans. While the [...]
Study on Wheel Grouser Designs for Improving Traverse Performance of Planetary Rovers
Event Location: GHC 2109Bio: Hiroaki Inotsume is a M.S. student in the Robotics Institute, advised by Prof. David Wettergreen. His work focuses on analysis of vehicle-terrain interactions for design, motion planning, and control of planetary rovers. He received his B.E. and M.E. degrees in Aerospace Engineering from Tohoku University in Japan.Abstract: Because of great successes [...]
Improving Face Analysis Using Expression Dynamics
Event Location: NSH 1507Bio: Hamdi Dibeklioglu received the B.Sc. degree from Yeditepe University, Istanbul in 2006 and the M.Sc. degree from Bogaziçi University,Istanbul in 2008. In 2013, he completed his PhD research in the Intelligent Systems Lab Amsterdam, University of Amsterdam. He is currently a post-doctoral researcher in the Pattern Recognition & Bioinformatics Group at [...]
Subdimensional Expansion: An Approach to Computationally Tractable Multirobot Path Planning
Event Location: NSH 1305Abstract: Planning optimal paths for large numbers of robots is computationally expensive. In our research, we developed a new framework for multirobot path planning called subdimensional expansion, which initially plans for each robot individually, and then coordinates motion among the robots as needed. More specifically, subdimensional expansion initially creates a one-dimensional search [...]