Welcome to the first iteration of our Knowledge Sharing Sessions! This week, we introduce Kiran Chhatre, a Ph.D. candidate at KTH, who will speak about motion synthesis!
Topic Description: The increase in popularity of different interactive media such as video games or virtual reality has increased the demand for automatic movement animation generation. In this session, we will have an interactive discussion on statistical movement generation techniques. We will talk about the importance of the choice of movement scenario and later explain the available family of machine learning and control techniques in the field of automatic movement generation.
Note for those interested in entrepreneurship/innovation:, Before Kiran will start with his presentation on Motion Synthesis, Hannes Eder Öhrström will drop by to show his face and invite you to get in touch to see what KTH Innovation has to offer you. He is a business development coach at KTH Innovation where he's in charge of the so-called deep tech portfolio. That means he mostly spends his time helping ML and AI-people turn their great ideas into great companies (he spent the last decade founding two companies himself and is passionate about all things agile).
Kiran is a Ph.D. candidate at the School of EECS, KTH. His research addresses the core challenges of designing new techniques to create and control interactive virtual characters using machine learning, procedural modeling, and perceptual evaluations. To discuss similar interests, you can reach out to him through his contact page.
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