[Colloq] HAPPENING NOW!! Title: "Persistent and Adaptive Robotic Perception" | Speaker: Guy Rosman | Date: 5/10/16 Time: 10:30-11:30am Location: 366 WVH

[Walker, Lashauna]

*REMINDER* - Happening NOW


Title: "Persistent and Adaptive Robotic Perception"
Speaker: Guy Rosman
Date: 5/10/16   Time: 10:30-11:30am   Location: 366 WVH



Title: "Persistent and Adaptive Robotic Perception"

Abstract:
We envision a world of pervasive robots, with robots operating for long periods of time, and adapting to many different tasks and environments. The long duration of operations and extended variety of tasks require us to summarize the history of the robot in an efficient manner.
Consider for example a robot that collects a stream of data from cameras for a week and has to answer the instantaneous question "Have I been here before?" It is not possible to answer this question on the required time scale by looking linearly through all the data. How can we develop intermediate data representations and algorithms that give robots the option to use historical data in real-time decision making? I will describe a new coreset algorithm for compressing vision data and its applications to search and retrieval.

Another current limitation of many robots is that their sensors operate in a fixed manner, regardless of the task or world state estimate. In the second part of the talk I will discuss a new approach for information-driven 3D sensing with robots, using adaptive time-multiplexed structured light. I will show how to optimally choose projector patterns for these scanners based on focused information maximization. This allows to adapt 3D scanner to different tasks, such as mapping and localization, or obstacle avoidance. Finally, I will describe using intermediate representations for task-specific sensor planning and demonstrate it in the context of a manufacturing application.

Biography:
Guy Rosman is a post-doctoral researcher at MIT / CSAIL, where he received the Technion-MIT post-doctoral Fellowship and is working with the Distributed Robotics Lab and the Sensing, Learning and Inference group. His research interests include 3D sensing in robotics and computer vision, as well as inference and machine learning techniques. His past works explore structure and motion estimation from visual sensors, and the role of different optimization and inference techniques in computer vision.
He obtained in 2004 his BSc Summa Cum Laude, in 2008 MSc Cum Laude, and in 2013 PhD at the Technion (with the Jacobs-Qualcomm fellowship), in the Computer Science Department. He has worked at several companies, including IBM research, RAFAEL Ltd., Medicvision, and Invision Biometrics (now Intel Realsense).


Thank You.

LaShauna Walker
Events and Administrative Specialist
College of Computer and Information Science Northeastern University
617-373-2763
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