Presented By: Michigan Engineering
Aerospace Chairs Distinguished Speaker Series
Robotics at Intersection of Learning and Control
Minghui Zheng, Ph.D.
Assistant Professor Department of Mechanical and Aerospace Engineering
University at Buffalo
Abstract:
Robotics technologies are moving towards operating in unstructured environments with the capabilities of continuously learning from and collaborating with humans and other robots. This talk will discuss our recent studies on advancing such capabilities to address several fundamental limitations such as adaptability and customizability in robotics. The first part of this talk will be on human-robot collaboration with applications to e-waste disassembly, aiming for an economically viable recycling system for the remanufacturing industry. I will focus on task planning among humans and robots, human motion prediction with quantified uncertainties, and robotic motion planning. I will also touch on their applications in aircraft manufacturing and space exploration. The second part of this talk will focus on learning-based control for drones,
where I will introduce a learning framework that enables a newly built drone to learn from existing ones despite their different dynamics and platforms. This aims to significantly reduce the design, testing, evaluation, and certification of drones that are uniquely customized for
applications in their operating environments and facilitate the end-to-end design of new drones. I will conclude this talk with my research vision and future research plan in aerospace engineering.
Speaker Bio:
Dr. Minghui Zheng is currently an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo (UB). Before joining UB, she received her Ph.D. degree in Mechanical Engineering from the University of California, Berkeley in 2017. Dr. Zheng’s research interest lies in learning, planning, and control with applications to several areas that are of vital importance to robotics, manufacturing, and aerospace systems. Her research endeavors are supported by approximately $2M in funding from agencies such as NSF and DOE, and have been delivered in over 30 journal articles. She is currently an associate editor of the IFAC journal of Mechatronics, and has frequently and continuously served as the associate editor or program committee for several major conferences of her field such as the American Control Conferences. She received the CAREER award on learning-based robotic control from the NSF Foundational Research in Robotics program and the SEAS Early Career Researcher of the Year from UB in 2021.
Assistant Professor Department of Mechanical and Aerospace Engineering
University at Buffalo
Abstract:
Robotics technologies are moving towards operating in unstructured environments with the capabilities of continuously learning from and collaborating with humans and other robots. This talk will discuss our recent studies on advancing such capabilities to address several fundamental limitations such as adaptability and customizability in robotics. The first part of this talk will be on human-robot collaboration with applications to e-waste disassembly, aiming for an economically viable recycling system for the remanufacturing industry. I will focus on task planning among humans and robots, human motion prediction with quantified uncertainties, and robotic motion planning. I will also touch on their applications in aircraft manufacturing and space exploration. The second part of this talk will focus on learning-based control for drones,
where I will introduce a learning framework that enables a newly built drone to learn from existing ones despite their different dynamics and platforms. This aims to significantly reduce the design, testing, evaluation, and certification of drones that are uniquely customized for
applications in their operating environments and facilitate the end-to-end design of new drones. I will conclude this talk with my research vision and future research plan in aerospace engineering.
Speaker Bio:
Dr. Minghui Zheng is currently an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo (UB). Before joining UB, she received her Ph.D. degree in Mechanical Engineering from the University of California, Berkeley in 2017. Dr. Zheng’s research interest lies in learning, planning, and control with applications to several areas that are of vital importance to robotics, manufacturing, and aerospace systems. Her research endeavors are supported by approximately $2M in funding from agencies such as NSF and DOE, and have been delivered in over 30 journal articles. She is currently an associate editor of the IFAC journal of Mechatronics, and has frequently and continuously served as the associate editor or program committee for several major conferences of her field such as the American Control Conferences. She received the CAREER award on learning-based robotic control from the NSF Foundational Research in Robotics program and the SEAS Early Career Researcher of the Year from UB in 2021.
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