哈尔滨工业大学（深圳）学术讲座

Speaker：肖伟（NTU Nanyang Assistant Professor）

Title:Control Barrier Functions for X

Date： 2026-07-20（Mon. 周一）Time：15:00-16:00

Venue:C332

Host: 张宏伟

摘要（Abstract)：

Safety is central to autonomous systems and robots since a single failure could lead to catastrophic results. In unstructured complex environments where system states and environment information are not available, the safety-critical control problem is much more challenging. In this talk, I will first discuss safety from a control theoretic perspective with Control Barrier Functions (CBFs). CBFs capture the evolution of the safety requirements during the execution of a control system and can be used to guarantee safety for all times due to their forward invariance, and this method has been shown to be very effective and efficient for nonlinear systems and constraints.  Then I will discuss how to apply CBFs to different areas, such as control systems, robotics (autonomous ground vehicles, surface vessels, and flight vehicles, legged robots, robot swarms, soft robots, and manipulators), and machine learning (sequential and generative AI models, transformer-based LLMs), both in simulation and in real world experiments.

报告人简介(About the speaker):

肖伟现任新加坡南洋理工大学助理教授。他曾于2025年至2026年担任伍斯特理工学院机器人工程系助理教授，并在麻省理工学院计算机科学与人工智能实验室从事博士后研究。此前，他于2021年在波士顿大学获得博士学位。他的研究兴趣包括安全关键控制理论和可信机器学习，特别关注机器人学与多智能体系统。他曾获得波士顿大学优秀博士学位论文奖、2020年IEEE决策与控制会议优秀学生论文奖，以及ACM/IEEE ICCPS 2021最佳论文提名。