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Events for August 17, 2023
Thu, Aug 17, 2023 @ 09:00 AM - 05:00 PM
USC Viterbi School of Engineering\'s Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results.
Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization.
To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer\'s green belt exam.
Location: Olin Hall of Engineering (OHE) -
Audiences: Registered Participants
Contact: Karen Escobar
CS Colloquium: Jivko Sinapov - Multimodal Learning, Interaction, and Perceptions: The Path Towards Intelligent Collaborative Robots
Thu, Aug 17, 2023 @ 02:00 PM - 03:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jivko Sinapov, Tufts University
Talk Title: Multimodal Learning, Interaction, and Perceptions: The Path Towards Intelligent Collaborative Robots
Abstract: Robots have the potential to transform the way we live and are increasingly deployed in applications ranging from assistive care settings to collaborative manufacturing. Enabling such robots to adapt in real time when facing novel situations, and problems, however, remains a challenge. In this talk, I will argue for a multimodal approach to learning, interaction, and perception for achieving robot autonomy in ever changing environments. First, I will describe how robots can transfer embodied knowledge across modalities e.g., touch, sound, and vision so that new robots, with different embodiments, sensors, and behaviors can still make use of the knowledge learned by other, more experienced, robots. Next, I will present results on how learned skills can be transferred from simple to complex environments as to afford the use of reinforcement learning methods that typically scale poorly in robotics domains. Finally, I will highlight multimodal approaches to interaction with people, including augmented reality and language, that help robots learn skills and concepts in order to be better partners and collaborators. We will conclude with a discussion on open questions and problems, along with our ongoing efforts to address them
Biography: Jivko Sinapov is an assistant professor in Computer Science at Tufts University where he leads the Multimodal Learning, Interaction, and Perception MuLIP lab. He received his Ph.D. in computer science and human computer interaction at Iowa State University in 2013 and subsequently worked as a postdoctoral associate at UT Austin prior to joining Tufts in 2017. His research interests include cognitive and developmental robotics, creative problem solving, human robot interaction, and reinforcement learning. Jivko received the NSF CAREER award in 2023 and is also the recipient of the Tufts ROUTE award for undergraduate research advising in 2022
Host: Jesse Thomason
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Melissa Ochoa