Micro-weather Forecast for Urban Air Mobility   Forecasting local weather within the urban environment at high-resolution is critical for the success of Urban Air Mobility. Circumventing atmospheric gusts, rain, and fog will allow a safe and comfortable flight to a target destination. A recent predictive capability developed at KAIST is briefly summarized.   Article | Fall 2021     UAM (Ur...

Multilayer metrology: Combining optical spectral measurements and machine learning   A joint research team of Prof. Jungwon Kim and Samsung Electronics demonstrate a non-destructive method for thickness characterization of 3D semiconductor devices. The team could characterize the thickness of each layer with an average error of 1.6 Å over >200 layers.   Article | Fall 2021     With the...

Mechanically-reinforced soft gripper for lifting extremely high payloads   Prof. Ki-Uk Kyung’s research team developed a high-payload soft gripper which consists of a mechanically strengthened electro-adhesive skin and a multi-layered artificial muscle. The developed soft gripper can hold up 480 times heavier objects than the gripper’s mass.   Article | Fall 2021     Picking up...

  Contribution of transition-metal d-orbital states to oxygen evolution electrocatalysis in oxides   It is identified that Fe, Cr, and Al are beneficial to enhance the oxygen evolution catalysis in LaNiO3 although their perovskite counterparts, LaFeO3, LaCrO3, and LaAlO3, are inactive. Furthermore, semiconducting LaCoO3 is found to have more than one order higher activity than metallic La...

Novel sensing technology and system help predict falls and prevent injuries to seniors   KAIST researchers are developing novel motion sensing technologies and wearable systems to predict falls and prevent fall-related injuries for seniors.   Article | Fall 2021     Falls in older people are a major public health concern due to their high prevalence, serious consequences, and heavy burden ...

Advanced geomorphological survey method using UAV-LiDAR for landslide analysis   A novel advanced geomorphological surveying technology enables the acquisition of high-resolution three-dimensional (3D) light detection and ranging (LiDAR) point clouds using an unmanned aerial vehicle (UAV), and this contributes to landslide recognition, mapping, monitoring, modeling, and mitigation.   Article | ...