Abstract: In this talk, I will present a few urban data sets and discuss extracted patterns and models, and their variability. Based on vehicle routes of several data sets, I will then present a novel transport planning algorithm with transfers and show the corresponding resource savings. This work is in collaboration with students, in particular with Brian Coltin.
Biography: Manuela Veloso’s long-term research goal is the effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks. Her vision is that multiple intelligent robots with different sets of complementary capabilities will provide a seamless synergy of intelligence. Manuela Veloso’s research focuses on the continuous integration of reactive, deliberative planning, and control learning for teams of multiple agents acting in adversarial, dynamic, and uncertain environments. Her multiagent and multirobot research interests have been motivated by and experimented in the domain of robot soccer. Since 2009, she has been investigating indoor mobile, service, companion robots, CoBots, such that robots and humans interact in a symbiotic relationship building upon individual strengths and limitations. Veloso created and directs her CORAL overarching research lab for the research on intelligent agents that Collaborate, Observe, Reason, Act, and Learn. As of 2010, she has ten PhD students and has graduated other twenty one PhD students, whose theses are available at her website www.cs.cmu.edu/~mmv. She thanks her students for the compelling research that they jointly pursue.
The Grid with Intelligent Periphery - Dr. Kameshwar Poolla - UC Berkeley
Hosted by Mechanical Engineering & Data Science Institute
Professor Michael I. Jordan (born 1957) is an American scientist, Professor at the University of California, Berkeley and leading researcher in machine learning and artificial intelligence presented "On the Computational and Statistical Interface and Big Data" at a Seminar series event for the Data Science Institute at Columbia University on October 15, 2013.