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Events for December 05, 2017
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CAIS Seminar: Dr. Barath Raghavan (International Computer Science Institute) - Top-down Computing Systems for Bottom-up Social Good
Tue, Dec 05, 2017 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Barath Raghavan, International Computer Science Institute
Talk Title: Top-down Computing Systems for Bottom-up Social Good
Series: Center for AI in Society (CAIS) Seminar Series
Abstract: Dr. Raghavan will discuss three topics: 1) rural network access, 2) agroecological development, and 3) air pollution mitigation, all in which computational systems that enable top-down planning can enable bottom-up instantiations. He will describe systems he developed for increasing access to the Internet in rural areas, ongoing work on new models and planning systems for shifting food production to more sustainable practices, and planned future work on enlisting community members to organize to mitigate air pollution.
Biography: Dr. Raghavan is in the process of joining the faculty in computer science at USC. He is a senior researcher at the International Computer Science Institute and leads the engineering team at Nefeli Networks, both in Berkeley, CA. He received his BS in EECS from UC Berkeley in 2002 and PhD in Computer Science from UC San Diego in 2009.
Host: Milind Tambe
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Computer Science Department
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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PhD Defense - Nicholas Rotella
Tue, Dec 05, 2017 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Tuesday, December 5th, 2 p.m. to 4 p.m, RTH 406
PhD Candidate: Nicholas Rotella
Title: Estimation-based control for humanoid robots
Abstract:
As sensor, actuator and processor technology continues to improve, humanoid robots have become more common in both academic and industrial environments. These robots have the potential to operate in complex environments built for humans given their form factor. However, the challenge of operating autonomously in unknown environments involves obtaining accurate estimates of the robot's state by fusing information from on-board sensors, and using these estimates for control in ways which allow robustness to uncertainty and disturbances. In this work, we propose methods for estimating important states of humanoid robots and evaluate the role of sensory information and state estimation in executing behaviors on a torque-controlled humanoid.
Committee:
Stefan Schaal
Ludovic Righetti
Laurent Itti
James Finley
Location: 406
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
