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Teaching underwater stingray robots to swim faster and with greater precision using machine learning

Researchers at Singapore University of Technology and Design developed a new machine learning approach to model underwater robot dynamics, allowing for efficient swimming in complex environments. The approach, published in IEEE-RAL, uses deep neural networks to predict required flapping motions for a set of given propulsive force targets.

SourceSingapore University of Technology and Design·JournalIEEE Robotics and Automation Letters·DateMay 11, 2022

Introducing Nikola, the emotional android kid

Researchers from RIKEN created Nikola, an android child that can convey six basic emotions through facial expressions. The study tested the quality of these expressions and found that humans can recognize them with varying accuracy.

SourceRIKEN·JournalFrontiers in Psychology·DateFeb 15, 2022

Giving bug-like bots a boost

Researchers at MIT have developed a new fabrication technique that enables the creation of soft actuators with 75% lower voltage requirements and 80% more payload capacity than current versions. This breakthrough could lead to the development of flying microrobots with improved performance and payload capabilities.

SourceMassachusetts Institute of Technology·JournalAdvanced Materials·DateDec 16, 2021

Lightweight space robot with precise control developed

Developed by researchers from Harbin Institute of Technology, a new robotic arm can manipulate in environments difficult for humans and adapt to changing conditions. The arm weighs only 9.23 kilograms and can exert constant force control, enabling it to maintain contact with curved surfaces in space.

SourceBeijing Institute of Technology Press Co., Ltd·JournalSpace: Science & Technology·TypeComputational simulation/modeling·DateDec 3, 2021

NTU Singapore scientists develop self-folding natural plant material for ‘intelligent’ green products

Researchers created a paper-like material that folds itself into new shapes in response to environmental humidity, with potential applications in self-folding envelopes and boxes. The material's ability to morph on demand could lead to the development of autonomous origami robots and other complex shapes.

SourceNanyang Technological University·JournalProceedings of the National Academy of Sciences·DateOct 18, 2021