RI Seminar
David Breen
Associate Professor
Department of Computer Science, Drexel University

Level Set Models for Computer Graphics

1305 Newell Simon Hall

ABSTRACT A level set model is a deformable implicit model that has a regularly-sampled representation.  It is defined as an iso-contour, i.e. a level set, of some implicit function f.  The contour is deformed by solving a partial differential equation on a sampling of f, an image in 2D and a volume dataset in 3D.  [...]

Faculty Candidate
Wenzhen Yuan
PhD candidate
Department of Mechanical Engineering, MIT

Faculty Candidate Talk: Making sense of the physical world with high-resolution tactile sensing

Gates 6115

Areas of Interest: Robotic Tactile Sensing, Robotic Perception   Abstract: With the rapid progress in robotics, people expect robots to be able to accomplish a wide variety of tasks in the real world, such as working in factories, performing household chores, and caring for elderly. However, it is still very difficult for robots to act [...]

VASC Seminar
Ryad Benosman
Professor
University Pierre and Marie Curie, Paris

Neuromorphic Event-based time oriented vision and Computation

GHC 6501

Abstract: There has been significant research over the past two decades in developing new systems for spiking neural computation. The impact of neuromorphic concepts on recent developments in optical sensing, display and artificial vision is presented. State-of-the-art image sensors suffer from severe limitations imposed by their very principle of operation. These sensors acquire the visual [...]

RI Seminar
Prof. Dr.-Ing. Michael Goesele
Professor
Graphics, Capture and Massively Parallel Computing , Technische Universität Darmstadt

“Does it look right? – Why capture and reconstruction quality really matter.”

1305 Newell Simon Hall

Special RI Seminar Please Note Different Day and Time Abstract:  At first sight, 3D reconstruction can be considered a solved problem. The principles are well understood and we can reconstruct a wide range of objects and scenes using active as well as passive reconstruction approached. However, most of these reconstructions are not convincing when really [...]

RI Seminar
Frank Dellaert
Technical Project Lead at Building 8
Facebook

Factor Graphs and Automatic Differentiation for Flexible Inference in Robotics and Vision

1305 Newell Simon Hall

PLEASE NOTE: THIS SEMINAR WILL NOT BE RECORDED Abstract: Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SFM) are important and closely related problems in robotics and vision. I will review how SLAM, SFM and other problems in robotics and vision can be posed in terms of factor graphs, which provide a graphical language [...]

VASC Seminar
Stefan Lee
Research Scientist
School of Interactive Computing at Georgia Tech

Towards Goal-Driven Visually Grounded Dialog Agents

Newell-Simon Hall 3305

Abstract: Communication between human users and artificial intelligences is essential for human-AI cooperative tasks. For these collaborations to extend into real environments, artificial agents must be able to perceive their environment (visually, aurally, tactilely, etc.) and to communicate with humans about it in order to accomplish mutual goals. For example, a user might talk with [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Exploiting Redundancy for Learning Visual Representations

Newell Simon Hall 1507

Abstract: Our visual world is highly structured and the visual data is highly redundant. In recent years, the computer vision field has been transformed by the success of Convolutional Neural Networks (ConvNets). However, the structure and redundancy in visual data has not been well explored in deep learning. The benefits of exploring data redundancy are [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Adaptive Motion Planning

GHC 4405

Abstract: Mobile robots are increasingly being deployed in the real world in response to a heightened demand for applications such as transportation, delivery and inspection. The motion planning systems for these robots are expected to have consistent performance across the wide range of scenarios that they encounter. While state-of-the-art planners, with provable worst-case guarantees, can [...]

Seminar
Chris Jones
VP of Technology
iRobot

Robots and the Smart Home

GHC 6115

Abstract Home robots, such as the iRobot Roomba vacuuming robot, have been welcomed into millions of homes around the world and are hard at work every day helping people to get more done. iRobot is the market leader in home robotics and is at the forefront in developing technologies for practical robots, including visual SLAM, [...]

RI Seminar
Magnus Egerstedt
Professor and Executive Director
Institute for Robotics and Intelligent Machines , Georgia Institute of Technology

Long Duration Autonomy With Applications to Persistent Environmental Monitoring

1305 Newell Simon Hall

Abstract: By now, we have a fairly good understanding of how to design coordinated control strategies for making teams of mobile robots achieve geometric objectives in a distributed manner, such as assembling shapes or covering areas. But, the mapping from high-level tasks to geometric objectives is not well understood. In this talk, we investigate this [...]