Understanding and Controlling the Sensitivity of Event Cameras in Responding to Static Objects
Jul 1, 2023
Adaptive Lighting for Curved and Nonuniform Objects in Optomechanical Inspection Systems
Dec 1, 2022
A Robotic Chess Player and the Impacts of Mechanical and Environmental Setting in Data Collection
Sep 1, 2022
UW+Amazon Science Hub Faculty Research Award
Our project on “Adaptive Grasping and Object Manipulation using Visual and Tactile Feedback” was selected in the inaugural set of faculty research awards to advance AI and robotics. The UW + Amazon Science Hub was founded in February 2022 and housed in the University of Washington College of Engineering. The projects were selected through a joint review process between the UW Advisory Group and Amazon. Each recipient will each receive up to $100,000 in research funding from Amazon, and each year-long project will address a real-world, cutting-edge challenge in AI or robotics.
Aug 10, 2022
Robotic Inspection of Complex Metalic Parts
Robots that remedy burdensome and subjective human inspections.
Jul 22, 2020
Manufacturing Robotics Training Resources in Northwest U.S.
Help build a national robotic resource map for manufacturing.
Jul 22, 2020
Focused Section on Machine Learning, Estimation and Control for Intelligent Robotics at International Journal of Intelligent Robotics and Applications
(as Guest Editor) Owing to the explosive advancements in recent years in the areas of computational intelligence, material synthesis, and device integration, a new era of intelligent robotics, featuring unprecedented capabilities of sensing, actuation, and decision making, has arrived. Various newly developed robotic systems have penetrated into virtually all industrial sectors, ranging from manufacturing, energy, aerospace and naval, infrastructure, to health care and service, etc. They possess remarkably enhanced performances in terms of accuracy, adaptivity, reliability, and autonomy, and are poised to change fundamentally our modalities of working and living. The new accomplishments exemplify the collaborative efforts by academia and industry that are currently accelerating. Aiming at documenting and disseminating the progresses and identifying growth opportunities, this focused section showcases a number of recent technological achievements in the learning and control of robotic systems. It includes nine papers that share the common theme of robotic systems utilizing complex or heterogeneous data in their design and control through advanced learning and estimation techniques.
Jul 22, 2020
A vision for robotics
Building robots that combine vision, AI, and manipulation to play games, perform tasks, and advance research.
Jul 22, 2020
Robotic Target Following with Slow and Delayed Visual Feedback
Jan 1, 2020
Best Student Paper on Robotics, ASME Dynamic Systems and Control Division
My student Hui Xiao received this Best Student Paper on Robotics award on October 11, 2019, from the ASME Dynamic Systems and Control Division. Our paper, titled “Following fast-dynamic targets with only slow and delayed visual feedback - a Kalman filter and model-based prediction approach,” addresses key challenges in real-time vision-based robotic applications.
Oct 11, 2019