Calendar of Events
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VASC Seminar
Debadeepta Dey
Microsoft Research AI (MSR AI)
Adaptive Information Gathering via Imitation Learning
Abstract: In the adaptive information gathering problem, a robot is required to select an informative sensing location using the history of measurements acquired thus far. While there is an extensive amount of prior work investigating effective practical approximations using variants of Shannon’s entropy, the efficacy of such policies heavily depends on the geometric distribution of [...]
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2 events,
RI Seminar
Greg Mori
School of Computer Science, Simon Fraser University
Deep Structured Models for Human Activity Recognition
Abstract: Visual recognition involves reasoning about structured relations at multiple levels of detail. For example, human behaviour analysis requires a comprehensive labeling covering individual low-level actions to pair-wise interactions through to high-level events. Scene understanding can benefit from considering labels and their inter-relations. In this talk I will present recent work by our group building [...]
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3 events,
Faculty Candidate
Berk Calli
GRAB Lab , Yale University
Faculty Candidate Talk: Closing the Loop with Vision Feedback and Compliance in Robotic Manipulation
Areas of Interest: Grasping and Manipulation Abstract Robotic manipulation is a key functional requirement that is largely missing from the current state of the art regarding robots in unstructured environments. While models of manipulation phenomenon give us invaluable insights on various principles, many parameters (e.g. surface geometry, friction coefficients, contact locations) are difficult to [...]
Special Events
HEBI Robotics Modular Robotics Workshop
HEBI Robotics Modular Robotics Workshop
Interested in learning how HEBI's modular robotics platform can dramatically reduce the time required to build custom robots? Want to learn more about the robotic system developed by one of Pittsburgh's exciting robotics start-ups? Take advantage of the opportunity to get hands-on time with HEBI's X-Series platform and instruction from HEBI engineers. At the workshop [...]
VASC Seminar
Shubham Tulsiani
UC, Berkeley
Learning Single-view 3D Reconstruction of Objects and Scenes
Abstract: In this talk, I will discuss the task of inferring 3D structure underlying an image, in particular focusing on two questions - a) how we can plausibly obtain supervisory signal for this task, and b) what forms of representation should we pursue. I will first show that we can leverage image-based supervision to learn [...]
1 event,
PhD Thesis Proposal
Soft-Matter Robotic Materials
Abstract: Soft machines and electronics are key components for emerging applications in wearable biomonitoring, human-machine interaction, and soft robotics. In contrast to conventional machines and electronics, soft-matter technologies provide a method for replicating these traditionally rigid devices using intrinsically soft materials that exhibit properties similar to soft biological tissue. This provides a path forward for [...]
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Field Robotics Center Seminar
From Robust Real-time SLAM to Safe Collision Avoidance
Abstract State estimation plays a critical role in a robotic system. The problem is to know where the robot is and how it is oriented. This is very often a building block in the navigation system, which modules in charge of higher level tasks are relied on. Challenges are to carry out state estimation in [...]
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Faculty Candidate
Changliu Liu
Department of Aeronautics and Astronautics, Stanford University
Faculty Candidate Talk: Designing Robot Behavior in Human-Robot Interactions
Areas of Interest: Industrial Collaborative Robot, Autonomous Driving, Non-Convex Optimization, Distributed Conflict Resolution Abstract Human-robot interactions (HRI) have been recognized to be a key element of future robots in many application domains such as manufacturing, transportation, service and entertainment, which entail huge social and economic impacts. Technically, it is challenging to design the behavior [...]
Faculty Events
Robotics Institute Faculty Dinner
Robotics Institute Faculty Dinner
The RI voting faculty dinner will be held on Thursday, January 25, 2018 at the Pittsburgh Golf Club. The tentative time frame is from 4:30 to 9:00pm.
1 event,
RI Seminar
David Breen
Department of Computer Science, Drexel University
Level Set Models for Computer Graphics
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. […]
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2 events,
Faculty Candidate
Wenzhen Yuan
Department of Mechanical Engineering, MIT
Faculty Candidate Talk: Making sense of the physical world with high-resolution tactile sensing
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
University Pierre and Marie Curie, Paris
Neuromorphic Event-based time oriented vision and Computation
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 […]
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1 event,
RI Seminar
Prof. Dr.-Ing. Michael Goesele
Graphics, Capture and Massively Parallel Computing , Technische Universität Darmstadt
“Does it look right? – Why capture and reconstruction quality really matter.”
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 […]
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RI Seminar
Frank Dellaert
Facebook
Factor Graphs and Automatic Differentiation for Flexible Inference in Robotics and Vision
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 […]