KAUST's Workshop Core Lab has upgraded its scientific glassblowing workshop with advanced equipment like precision lathes and coating machines. The facility produces bespoke scientific glass equipment for KAUST researchers using borosilicate and quartz glass. Senior glassblowers Ernest Neil Davison and Emilio Harina create intricate designs from prototype sketches. Why it matters: This enhances KAUST's research capabilities by providing high-quality, specialized glassware that Davison claims rivals that of other top universities globally.
MBZUAI Professor Sami Haddadin and his team developed a new framework called Tactile Skills to teach robots manual skills through touch and trial and error. This framework aims to address the gap in robots' ability to learn basic physical tasks compared to AI's advancements in language and image generation. The research, published in Nature Machine Intelligence, focuses on enabling robots to perform manipulation skills at industrial levels with low energy and compute demands. Why it matters: This research could lead to robots capable of performing household maintenance, industrial tasks, and even assisting in medical or rehabilitation settings, potentially solving labor shortages in various sectors in the region and beyond.
KAUST researchers have developed a surface treatment for jute storage bags to prevent moisture-induced damage to stored grains. The treatment involves roughening the jute surface with an alkali and applying a thin layer of paraffin wax. Experiments showed that seed moisture content reduced by up to 7.5 percent in wax-coated bags, and seed germination efficacy after storage was up to 35 percent higher. Why it matters: This simple, scalable technique could significantly reduce grain losses in developing countries and provide an environmentally friendly alternative for grain storage.
A computer science vision involves computing devices becoming proactive assistants, enhancing various aspects of life through user digitization. Current devices provide coarse digital representations of users, but there's significant potential for improvement. Karan, a Ph.D. candidate at CMU, develops technologies for consumer devices to capture richer user representations without sacrificing practicality. Why it matters: Advancements in user digitization can lead to improved extended reality experiences, health tracking, and more productive work environments, enhancing the utility of consumer devices.
Michael Yu Wang, Chair Professor and Founding Dean of the School of Engineering at Great Bay University, argues for combining "good old fashioned engineering" (GOFE) with learning-based approaches like LLMs for robot skill acquisition, particularly in manipulation. He suggests a modular framework that integrates engineering principles with learning, drawing inspiration from human hand-eye coordination and tactile perception. Wang emphasizes the need to address engineering features of robot tactile sensors, such as spatial and temporal resolutions, to achieve human-like robot manipulation skills. Why it matters: This perspective highlights the importance of hybrid approaches combining traditional engineering with modern AI for advancing robotics, especially in complex manipulation tasks relevant to industries in the GCC region.