Presenter: Stefanie Tellex (Homepage)

Event Dates:
  Friday March 28, 2014 from 11:00am to 12:00pm

Natural language can be a powerful, flexible way for people to interact with robots.  A particular challenge for designers of embodied robots, in contrast to disembodied methods such as  phone-based information systems, is that natural language understanding systems must map between linguistic elements and aspects of the external world, thereby solving the so-called symbol grounding problem.  This talk describes a probabilistic framework for robust interpretation of grounded natural language, called Generalized Grounding Graphs (G^3).  The G^3 fr

Presenter's Biography:

Stefanie Tellex is an Assistant Professor of Computer Science and Assistant Professor of Engineering at Brown University.  Her group, the Humans To Robots Lab, creates robots that seemlessly collaborate with people to meet their needs using language, gesture, and probabilistic inference.  She completed her Ph.D. at the MIT Media Lab in 2010, where she developed models for the meanings of spatial prepositions and motion verbs.  Her postdoctoral work at MIT CSAIL focused on creating robots that understand natural language.  She has published at SIGIR, HRI, RSS, AAAI, IROS, and ICMI, winning Best Student Paper at SIGIR and ICMI.  She was named one of IEEE Spectrum's AI's 10 to Watch and won the Richard B. Salomon Faculty Research Award at Brown University. Her research interests include probabilistic graphical models, human-robot interaction, and grounded language understanding.

Tuesday October 15, 2013

GRASP Faculty on the South by Southwest Interactive 2014 Panels...Katherine Kuchenbecker and Vijay Kumar

Presenter: Ted Zobeck

Event Dates:
  Friday October 18, 2013 from 11:00am to 12:00pm

Introduction and Context Setting will be provided by Dr. Daniel Koditschek, University of Pennsylvania.

Presenter's Biography:

Dr. Ted M. Zobeck is a Research Soil Scientist in the United States Department of Agriculture, Agricultural Research Service, Wind Erosion and Water Conservation Research Unit of the Cropping Systems Research Laboratory at Lubbock, TX. Dr. Zobeck has over 30 years experience in investigations on the on-site and off-site effects of wind erosion and its effect on airborne dust emissions and transport, soil properties and productivity related to wind erosion, and the effects of cropping systems on soil health and selected soil properties (such as aggregation, compaction, water management, and carbon sequestration) needed to optimize productivity and develop sustainable agricultural systems. Ted has served as associate editor for three internationally respected journals associated with soil management, including the Soil Science Society of America Journal and is currently Co-Editor-in-Chief for the Elsevier journal Aeolian Research.   He has authored or co-authored over 170 publications, including co-editing SSSA Special Publication 60 titled Soil and Water Conservation Advances in the United States.  Ted is a Past Chair of SSSA Div S-6, Soil & Water Management and Conservation, a Fellow of SSSA, and currently the President of the International Society for Aeolian Research.

Monday September 30, 2013

Penn Engineering's GRASP Lab, Wharton's Mack Institute Take Y-Prize Global 

Media Contact:Evan Lerner | | 215-573-6604

Event Date(s):
  Thursday October 3, 2013 at 6:30pm

Join the Y-Prize Kick-Off Event this Thursday, October 3rd at 6:30pm in the Wu & Chen Auditorium!!! RSVP here...

More details on the Y-Prize Competition can be found here as well...

Tuesday October 1, 2013

Penn, Carnegie Mellon Receive Grant for Transportation Research in Penn News

Media Contact:Evan Lerner | | 215-573-6604October 1, 2013

The University of Pennsylvania and Carnegie Mellon University have received a $5.65 million U.S.

Presenter: Domenico Daniele Bloisi (Homepage)

Event Dates:
  Wednesday October 2, 2013 from 1:00pm to 2:00pm

* Alternate Location: Levine 512 (3330 Walnut Street)*

In this talk a set of intelligent surveillance systems are presented. Possible solutions for solving automatic video surveillance challenges such as gradual and sudden illumination changes, modifications in the background geometry, dynamic background, shadows and reflections are discussed. Different state-of-the-art approaches for detecting and recognizing object of interest in the monitored scene, tracking them over time, and handling events are presented as well as examples and results from real systems.

Presenter's Biography:

Domenico Daniele Bloisi is an assistant professor with the Department of Computer, Control, and Management Engineering "Antonio Ruberti" at Sapienza University of Rome (Italy) since November 2012. He received his PhD, M.Sc. (best thesis award), and B.Sc. degrees in Computer Engineering from Sapienza University of Rome in 2010, 2006 and 2004, respectively. His main research interests are related to intelligent surveillance (including object detection, visual tracking, and multiple sensor data fusion) and robotics. He is a faculty member of RoCoCo (Cognitive Cooperating Robots) laboratory. He was visiting scholar at Kingston University, London (UK) in 2008 and reserch associate with the Department of Computer Science at University of Verona (Italy) in 2009. From 2010 to 2012 he collaborated with Finmeccanica Group for developing a port surveillance application. Since October 2007 he have taught courses on Computer Science at the Faculty of Engineering, Sapienza University of Rome. He serves as reviewer for several International Journals, including Pattern Recognition, Sensors, Information Fusion, and Neurocomputing.

Wednesday June 19, 2013

Konstantinos Gatsis Receives Best Student Paper Awardat ACC 2013

Konstantinos Gatsis, doctoral student in Electrical and Systems Engineering (ESE), is the recipient of the Best Student Paper Award at the 2013 American Control Conference held in Washington, DC. His paper, Optimal Power Management in Wireless Control Systems, considers a closed-loop control system implemented over a wireless channel and provides the theoretical framework to explore the trade-off between system performance and power consumption of the wireless sensors.

Presenter: Cesar Cadena (Homepage)

Event Dates:
  Monday October 7, 2013 from 12:00pm to 1:00pm

* Alternate Location: Levine 512 (3330 Walnut Street)*

The semantic mapping of the environment requires simultaneous segmentation and categorization of the acquired stream of sensory information. The existing methods typically consider the semantic mapping as the final goal and differ in the number and types of considered semantic categories. We envision semantic understanding of the environment as an on-going process and seek representations which can be refined and adapted depending on the task and robot's interaction with the environment.

Presenter's Biography:

Cesar Cadena received the Electronic Engineering and Mechanical Engineering degrees in 2005 and the M.Sc. degree in 2006, all from the Universidad de los Andes, Colombia. He received his Ph.D. degree in Computer Science from the University of Zaragoza, Spain, in 2011, and was Research Assistant until June 2012 with the Group of Robotics, Perception adn Real Time, at the same university. Since July 2013 he has been Postdoctoral researcher working Prof. Jana Kosecka at the Computer Science Department of George Mason University.
His research is on robotics and control systems, with a current focus on persistent and semantic mapping in dynamic environments, life long learning for data association and place recognition problems.

Presenter: Viktor Gruev (Homepage)

Event Dates:
  Friday November 22, 2013 from 11:00am to 12:00pm

Recording neural activity using light has opened up unprecedented possibilities in the quest of understanding functionality of the nervous system. Light offers great advantages over electrophysiology such as: incredible spatial resolution, which is limited by the diffraction of light, contact-less probing capabilities, which avoids physical damage and interference with neural activity during recording, and simultaneous recording from large ensemble of neurons.

Presenter's Biography:

Viktor Gruev received his B.S. in electrical engineering with distinction from Southern Illinois University in 1997. He completed his M.S. and PhD. in electrical engineering from Johns Hopkins University in 2000 and 2004 respectively. Dr. Gruev was a post doctoral researcher at the University of Pennsylvania before he joined the Computer Science and Engineering faculty at Washington University in St. Louis in 2008. His current research interests are in: polarization imaging and integrating nano-fabrication techniques with CMOS technology, camera-on-a-chip, polarization image sensors, mixed signal VLSI systems, 3-D image sensors, VLSI systems for adaptive optics and computer vision.