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微软亚洲研究院 ACE Talk 系列讲座旨在邀请杰出的学术新星分享科研成果，为学生与研究员提供相互交流学习与洞悉前沿动态的平台。
第二十三期 ACE Talk，我们特别邀请到来自新加坡国立大学的助理教授 Harold Soh 为我们带来以“Bridging Physical and Social Intelligence with Generative Embodied AI”为主题的报告，介绍抓取、基于触觉的推理、安全轨迹规划以及样本生成等领域，利用生成模型进行人机互动的最新研究，聚焦于开发兼具物理与社交智能的机器人。
讲座信息
时间：8 月 27 日（周二）10:00 - 11:30
地点：线上
日程：
• 嘉宾报告（10:00 - 11:00）
• Q&A（11:00-11:30）
报名方式
欢迎扫描下方二维码填写报名问卷，报名成功后将收到邮件通知，邮件中将提供讲座 Teams 线上会议链接。
报名截止时间：8 月 26 日（周一）下午 14:00
报名链接：
嘉宾介绍
Harold Soh
新加坡国立大学
助理教授
Harold Soh is an Assistant Professor of Computer Science at the National University of Singapore, where he leads the Collaborative Learning and Adaptive Robots (CLeAR) group. He completed his Ph.D. at Imperial College London, focusing on online learning for assistive robots. Harold’s research primarily involves machine learning, particularly generative models, and decision-making in trustworthy collaborative robots. His contributions have been recognized with an invited Keynote at ICRA'24, a R:SS Early Career Spotlight in 2023, best paper awards at IROS’21 and T-AFFC’21, and several nominations (R:SS’18, HRI’18, RecSys’18, IROS’12). Harold has played significant roles in the HRI community, most recently as co-Program Chair of ACM/IEEE HRI’24. He is an Associate Editor for the ACM Transactions on Human Robot Interaction, Robotics Automation and Letters (RA-L), and the International Journal on Robotics Research (IJRR). He is a Principal Investigator at the Smart Systems Institute and a co-founder of TacnIQ, a startup developing touch-enabled intelligence.
报告简介
Bridging Physical and Social Intelligence with Generative Embodied AI
As AI and robots become increasingly integrated into our daily lives, a critical question emerges: How do we enable fluent and safe interactions between humans and robots? I believe the key to addressing this challenge lies in developing robots with both physical and social intelligence. In this talk, I will present an overview of our recent research on generative models for human-AI interaction in embodied settings. Our work explores the use and development of generative models across various domains, from grasping and touch-based reasoning to safe trajectory planning and sample generation. By leveraging generative models, we aim to create more adaptive and context-aware AI systems capable of responding to humans and the environment. If time permits, we will discuss open questions in this rapidly evolving field and propose potential approaches for future research.
主持人简介
邓誉
微软亚洲研究院
高级研究员
Dr. Yu Deng is currently a Senior Researcher of Spatial Intelligence Group (SIG, formerly known as Internet Graphics) at Microsoft Research. His research interests include 3D generation, neural rendering, and Embodied AI. Prior to joining MSRA, he was a researcher at Xiaobing.AI focusing on human-centric AIGC. He completed his PhD in 2022 through the joint PhD program between Tsinghua University and MSRA, under the supervision of Prof. Harry Shum. From 2017 to 2022, he worked as a research intern with the IG group at MSRA.
关于ACE Talk
ACE (Accelerate, Create, Empower) Talk Series epitomizes our commitment across three dimensions. To accelerate the swift adoption of cutting-edge research where researchers and students can share the latest breakthroughs and advancements. To create an environment that nurtures novel ideas and fosters the genesis of innovative solutions to complex problems. At its core, we are dedicated to empowering individuals, including our speakers and audiences to drive positive changes on a broader scale. Through this endeavor, we aspire to enhance global communication and cultivate a diverse academic atmosphere, connecting talented individuals worldwide and ultimately contributing to meaningful change within the academic research community
