Pie & AI: Boston - Guest talk on Multimodal Learning, Interaction, and Perception: The Path Towards Intelligent Collaborative Robots

Pie & AI is a series of DeepLearning.AI meetups independently hosted by our global AI community. Events typically include conversations with leaders in the world, thought-provoking discussions, networking opportunities with your fellow learners, hands-on project practice, and pies (or other desserts you prefer.)If you are interested in hosting a local Pie & AI event for us in other cities and becoming one of our global ambassadors, send us a note at events@deeplearning.ai!

Pie & AI by DeepLearning.AI community

Multimodal Learning, Interaction, and Perception: The Path Towards Intelligent Collaborative Robots

Event OverviewRobots are transforming the way we live and are increasingly deployed in applications such as assistive care, environmental monitoring, agriculture and 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 provide a brief overview of the research conducted in the MuLIP lab and highlight some key results in the areas of multisensory perception and robot learning that address key challenges in robot deployment. Specifically, I will discuss findings related to transfer learning for both perception and control, as well as highlight novel mechanisms that enable robots to adapt to novel situations that may be unforeseen by the designers and engineers prior to deployment. I will end with open questions and problems, along with our ongoing efforts to address them.Pie &amp; AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by Yuvit Batra. Special thanks to their support!Event Agenda &amp; SpeakersImpart knowledge onto the attendeesProfessor Jivko Sinapov Bio: Jivko Sinapov is an Associate Professor in Computer Science at Tufts University where he leads the Multimodal Learning, Interaction, and Perception (MuLIP) lab (https://mulip.cs.tufts.edu). 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 for AI agents, human-robot interaction, and reinforcement learning. The lab's research has been funded by the NSF, DARPA, ARFL and the Verizon and LEGO foundations. Jivko received the NSF CAREER award in 2023 and is also the recipient of the Tufts ROUTE award for undergraduate research advising in 2022.________For learners of all levels; Beginner, IntermediateLanguage: EnglishAbout Pie &amp; AI: Pie &amp; AI is a series of DeepLearning.AI meetups independently hosted by our global AI community. Events typically include conversations with leaders in the world, thought-provoking discussions, networking opportunities with your fellow learners, hands-on project practice, and pies (or other desserts you prefer.)

Pie & AI: Boston - Guest talk on Multimodal Learning, Interaction, and Perception: The Path Towards Intelligent Collaborative Robots

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Pie & AI: Boston - Guest talk on Multimodal Learning, Interaction, and Perception: The Path Towards Intelligent Collaborative Robots

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