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Wednesday March 13, 2013 at 2:00pm
Penn News: Vijay Kumar of Engineering will give a webinar for the professional society ASME on the challenges and opportunities of designing aerial robots.
Tuesday March 30, 2010 at 5:00pm
Presenter: Dylan Shell (Homepage)
Thursday April 2, 2015 from 3:00pm to 4:00pm
* Alternate Location: 152 Curtis Hall, MEM Seminar Room*
In this talk I will describe recent research toward the goal of
engineering multi-robot systems to form networks of efficient,
cooperative, taskable agents. I shall consider variations of the
multi-robot task allocation (assignment) problem, wherein one aims at
finding the best matching between a set of robots and a set of tasks so
that the team’s performance will be optimized. The assignment problem
is one of the most popular formulations for optimizing the group
synergy, and has a long history including work in Operations Research
and AI communities.
Dylan Shell currently lives---like Schrödinger's cat---in a superposition of states: being an assistant/associate professor of Computer Science and Engineering at Texas A&M University. He is a computer scientist, having received degrees in computational & applied mathematics and computer science (from the University of the Witwatersrand, South Africa), and his M.S. and Ph.D. in Computer Science from the University of Southern California. His research aims to synthesize and analyze complex, intelligent behavior in distributed systems that exploit their physical embedding to interact with the physical world.
He has published papers on multi-robot task allocation, robotics for emergency scenarios, biologically inspired multiple robot systems, multi-robot routing, estimation of group-level swarm properties, minimalist manipulation, rigid-body simulation and contact models, human-robot interaction, and robotic theatre. His work has been funded by DARPA and the NSF; and he has been the recipient of the Montague Teaching award, the George Beckey Service award, and the NSF Career.
Presenter: Luca Carlone (Homepage)
Thursday April 9, 2015 from 11:00am to 12:00pm
* Alternate Location: Levine 307*
In many application fields (robotics, computer vision,
sensor networks, etc.) we find inference problems in which the
variables live on the edge of a graph that has a spatial embedding.
Often the variables to be estimated are elements of Lie groups, and
the available measurements are relative measurements corresponding to
the edges of the graph.
Luca Carlone is a postdoctoral fellow at the College of Computing, at Georgia Tech. He was a visiting researcher at the University of California Santa Barbara (2011) and at the University of Zaragoza (2010). He received his M.Sc. degrees (summa cum laude) in Mechatronic Engineering from Politecnico di Torino, and in Automation Engineering from Politecnico di Milano in 2008, and a Ph.D. from Politecnico di Torino in 2012. He is broadly interested in robotic perception, estimation over graphs, and numerical optimization.
Presenter: Sangbae Kim (Homepage)
Friday March 20, 2015 from 9:30am to 10:30am
* Alternate Location: Towne 337*
Realizing animals’ magnificent
dynamic movements in robots is next big challenge in many future robot
applications. In contrast to manufacturing as a main task for
conventional robots, mobile robots' tasks including disaster response often involve exploring unexpected areas and performing physical work in dangerous environments. The
process of ‘principle extraction’ from biology is a critical step
toward the practical adoptation of nature's design.
Prof. Sangbae Kim, is the director of the Biomimetic Robotics Laboratory and an Associate Professor of Mechanical Engineering at MIT. His research focuses on the bio-inspired robotic platform design by extracting principles from complex biological systems. Kim’s achievements on bio-inspired robot development include the world‘s first directional adhesive inspired from gecko lizards, and a climbing robot, Stickybot, that utilizes the directional adhesives to climb smooth surfaces featured in TIME’s best inventions in 2006. The MIT Cheetah achieves stable outdoor running at an efficiency of animals, employing biomechanical principles from studies of best runners in nature. This achievement was covered by more than 200 articles. He is a recipient of King-Sun Fu Memorial Best Transactions on Robotics Paper Award (2008), DARPA YFA(2013), and NSF CAREER (2014) award.
Tuesday March 3, 2015
Tuesday March 3, 2015
Vijay Kumar Named Dean of Penn Engineering
Media Contact:Ron Ozio | firstname.lastname@example.org | 215-898-8658March 3, 2015
Tuesday February 24, 2015
This page can be viewed online at: http://www.upenn.edu/almanac/volumes/v61/n24/honors-other-things.html#lee
Honors & Other Things
Friday January 23, 2015
Presenter: David Balduzzi (Homepage)
* Alternate Location: Levine 307*
The main problem of distributed learning is credit assignment, which was solved in the 80s with the invention of error backpropagation. 30 years later, Backprop, along with a few more recent tricks, is the major workhorse underlying machine learning and remains state-of-the-art for supervised learning. However, weight updates under Backprop depend on recursive computations that require distinct output and error signals -- features not shared by biological neurons, that are perhaps unnecessary.
David Balduzzi is a Senior Lecturer in Mathematics and Statistics at Victoria University Wellington. He received a PhD in algebraic geometry from the University of Chicago, after which he worked on computational neuroscience at UW-Madison and machine learning at the Max Planck Institute for Intelligent Systems and ETH Zürich.