Pie & AI: - Guest talk on Multimodal Learning, Interaction, and Perception: The Path Towards Intelligent Collaborative Robots
Hosted by Pie & AI by DeepLearning.AI community
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Leading robotics and AI researchers will explore how multimodal learning and perception capabilities are reshaping intelligent collaborative robots that can work seamlessly alongside humans. The discussion will dive into cutting-edge approaches for robots to understand and respond to multiple forms of input—vision, speech, and physical interaction—to enable truly collaborative workflows.
Inside the event
Event Overview
Robots 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 & 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 & Speakers
Impart knowledge onto the attendees
Professor 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.
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For learners of all levels; Beginner, Intermediate
Language: English
About Pie & AI: 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.)
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Last checked: Oct 13, 2026. Confirm current availability before making plans.
Organizer page checked: Oct 13, 2026. Check registration for the latest details.