Researchers from Yokohama National University created a highly precise mobile robot with a wide range of motion using piezoelectric actuators, achieving path errors of under 0.5-4.75 µm. The robot's performance demonstrated its suitability for precise positioning and wide transportation of objects of various sizes.
SourceYokohama National University·JournalAdvanced Intelligent Systems·TypeExperimental study·DateMar 3, 2026
Researchers developed a new method for controlling lower limb exoskeletons using deep reinforcement learning, enabling more robust and natural walking control. The system has the potential to benefit users with spinal cord injuries, multiple sclerosis, stroke, and other neurological conditions.
SourceKessler Foundation·JournalJournal of NeuroEngineering and Rehabilitation·TypeComputational simulation/modeling·DateJun 15, 2023
A novel technique has been proposed to enhance the learning ability of robots performing repetitive tasks by using a fractional power update rule. The study demonstrates fast convergence rates and potential applications in industries such as autonomous vehicles and rehabilitation robots.
SourceChinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·DateJun 4, 2023
Researchers developed an intelligent FLC designer to create stable solar sail attitude control without a priori knowledge or excessive manual workload. The IFLCD uses neural network modelling and automatic design method to solve the black-box and time-varying control problem, making it suitable for unmanned and complicated systems.
SourceBeijing Institute of Technology Press Co., Ltd·JournalSpace: Science & Technology·DateNov 1, 2022
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SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Nagoya University scientists developed a controller with a sleep mode to procure energy only when needed, reducing the need for storage batteries and capacitors. This innovative solution enables efficient energy saving and promotes the practical application of power packet type energy Internet.
SourceNagoya University·JournalInternational Journal of Robust and Nonlinear Control·DateOct 7, 2022
A team of researchers has developed a MEMS scanning lidar that can detect objects reliably even in shaky environments. The long-range MEMS lidar prototype uses a digital controller to suppress errors caused by vibrations, allowing for stable 3D imaging and object detection.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Optical Microsystems·DateMar 29, 2022
Jeff Shamma, a King Abdullah University of Science & Technology professor, has been elected as an IFAC Fellow for his significant contributions to linear parameter varying systems and multiagent systems. He joins a prestigious list of global academics and experts in the field of control and systems engineering.
SourceKing Abdullah University of Science & Technology (KAUST)·DateJul 18, 2016