KAUST Professor Matteo Parsani completed a 3,000 km hand-cycling journey across Saudi Arabia, from Dammam to KAUST, over 30 days. The journey, titled “Athar: East to West,” aimed to promote physical activity and awareness for people with disabilities. Parsani visited rehabilitation centers and engaged with people with disabilities, drawing inspiration from Crown Prince's motivational words. Why it matters: This inspiring journey highlights the potential for inclusivity and accessibility within Saudi Arabia, showcasing the nation's hospitality and support for people with disabilities.
KAUST Professor Matteo Parsani will undertake a 30-day, 3000km hand bike journey across Saudi Arabia starting December 17. The journey aims to promote physical activity, raise disability awareness, showcase KAUST research, and highlight Saudi's beauty. KAUST researchers developed biosensor-embedded gear to monitor Parsani's health metrics like heart rate, dopamine levels, and sweat rate during the journey. Why it matters: The initiative demonstrates KAUST's commitment to assistive technology research and promoting inclusivity in Saudi society through adaptive sports.
Lorenzo Jamone from Queen Mary University of London presented on cognitive robotics, focusing on tactile exploration and manipulation by robots. The talk covered combining biology, engineering, and AI for advanced robotic systems. Jamone directs the CRISP group and has over 100 publications in cognitive robotics. Why it matters: This highlights the ongoing research into more sophisticated robotic systems that can interact with complex environments, an area crucial for future applications in manufacturing and human-robot collaboration in the GCC.
KAUST Ph.D. student Mousa Alharthi studies membrane desalination technologies and is also a cycling enthusiast. Alharthi translated Arabic language advertisements for cycling races in Jeddah for his English-speaking colleagues in the Red Sea Cyclists group. The Saudi Cycling Federation began holding amateur events in the Kingdom in 2017 to develop young Saudi talent and generate awareness about cycling. Why it matters: This highlights KAUST's role in supporting not only scientific research but also promoting sports and healthy lifestyles in line with Saudi Vision 2030.
This article discusses a talk on "Assistive Augmentation," designing human-computer interfaces to augment human abilities. Examples include 'AiSee' for blind users, 'Prospero' for memory training, and 'MuSS-Bits' for deaf users to feel music. Suranga Nanayakkara from the National University of Singapore will present the talk, highlighting insights from psychology, human-centered machine learning, and design thinking. Why it matters: Such assistive technologies can significantly improve the quality of life for individuals with disabilities and extend human capabilities.
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This article discusses the evolution of mobile extended reality (MEX) and its potential to revolutionize urban interaction. It highlights the convergence of augmented and virtual reality technologies for mobile usage. A novel approach to 3D models, characterized as urban situated models or “3D-plus-time” (4D.City), is introduced. Why it matters: The development of MEX and 4D.City could significantly enhance user experience and analog-digital convergence in urban environments, offering new possibilities for human-computer interaction.
This paper presents the synthesis of a 1-DoF six-bar gripper mechanism for aerial grasping, designed for a task in the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The synthesis process involves selecting the mechanism class, determining the number of links and joints using algebraic methods, and optimizing link dimensions via geometric programming. The gripper was modeled in CAD software, additively manufactured, and mounted on a UAV with a DC motor for gripping spherical objects. Why it matters: The research contributes to advancements in robotics and aerial manipulation, with potential applications in various industries, particularly for tasks requiring remote object retrieval and manipulation.