(as Exhibits Chair) ACC is the annual conference of the American Automatic Control Council (AACC), the U.S. national member organization of the International Federation for Automatic Control (IFAC). National and international society co-sponsors of ACC include the American Institute of Aeronautics and Astronautics (AIAA), American Institute of Chemical Engineers (AIChE), American Society of Civil Engineers (ASCE), American Society of Mechanical Engineers (ASME), IEEE Control Systems Society (IEEE-CSS), Institute for Operations Research and the Management Sciences (INFORMS), International Society of Automation (ISA), Society for Modeling & Simulation International (SCS), and Society for Industrial & Applied Mathematics (SIAM).
Sep 22, 2020
Towards a zero-waste agile manufacturing of quality-assured, short-run products.
Jul 22, 2020
From irregular, asynchronous data to agile system response.
Jul 22, 2020
Robots that remedy burdensome and subjective human inspections.
Jul 22, 2020
Towards an agile manufacturing of quality-assured, short-run products.
Jul 22, 2020
Help build a national robotic resource map for manufacturing.
Jul 22, 2020
Taming discontinuities and jumping states.
Jul 22, 2020
(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
Customizing control to the performance extreme.
Jul 22, 2020
Building robots that combine vision, AI, and manipulation to play games, perform tasks, and advance research.
Jul 22, 2020