Researchers developed a force-data-driven robotic harvesting system for cherry tomatoes, integrating six-axis force/torque sensing, a bio-inspired compliant gripper, and a mobile robotic platform. Manual trials informed the design of a novel Finray gripper and a hybrid grip-twist-pull strategy, applying specific forces and torques to detach the fruit gently. Validated at a commercial greenhouse in Abu Dhabi, UAE, the system achieved an 86.0% picking success rate with only 2.3% fruit damage and an 8.4-second cycle time per fruit. Why it matters: This development demonstrates a practical and efficient solution for delicate robotic harvesting in controlled agricultural environments, with direct relevance to food security initiatives in the Middle East.
Song Chaoyang from the Southern University of Science and Technology (SUSTech) presented research on Vision-Based Tactile Sensing (VBTS) for robot learning, combining soft robotic design with learning algorithms to achieve state-of-the-art performance in tactile perception. Their VBTS solution demonstrates robustness up to 1 million test cycles and enables multi-modal outputs from a single, vision-based input, facilitating applications such as amphibious tactile grasping and industrial welding. The talk also highlighted the DeepClaw system for capturing human demonstration actions, aiming for a universal interaction interface. Why it matters: This research advances embodied intelligence by improving robot dexterity and adaptability through enhanced tactile sensing, which is crucial for complex manipulation tasks in various sectors such as manufacturing and healthcare within the region.
KAUST held its third annual Sensor Initiative, hosting 70 delegates from KAUST and international institutions like MIT and UCLA. The interdisciplinary meeting focused on transforming sensor technologies and exploring applications. Researchers from KAUST and abroad presented on topics like chemical sensors and sustainable ecosystems. Why it matters: The initiative demonstrates KAUST's commitment to advancing sensor technology and fostering collaboration between local and international experts.
KAUST Ph.D. candidate Ahmed Alfadhel won the IEEE best research paper award for his work on artificial skin. The artificial skin design uses a flexible magnetic nano-composite cilia surface with a magnetic field sensing element. The device exhibits unprecedented flexibility due to the embedding of magnetic cilia and the sensing element in a polymeric surface. Why it matters: This research enables the development of cheaper, more versatile tactile sensors for health monitoring, robotics, and prosthetics, potentially advancing personalized healthcare and human-machine interfaces in the region.
KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.
KAUST researchers Yichen Cai and Jie Shen, led by Dr. Vincent Tung, are developing electronic skin (e-skin) using 2D materials like MXenes. Their research, published in Science Advances, focuses on mimicking human skin functions like sensing and adapting to stimuli. The team leverages the unique properties of 2D materials to create flexible and efficient electronic systems for next-generation electronics. Why it matters: This work advances materials science in the region, potentially enabling breakthroughs in flexible electronics, healthcare monitoring, and robotics.
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 hosted the KAUST Sensor Initiative, convening experts in sensor development, material science, energy, communications, and data analysis. Live demonstrations showcased working prototypes, including a flexible sensor for monitoring the speed of dolphins developed by KAUST Ph.D. student Altynay Kaidarova. The initiative aims to advance a network of smarter, interactive physical IoT devices with embedded intelligent sensor technologies. Why it matters: This initiative highlights KAUST's role in fostering innovation in sensor technology and IoT, crucial for advancing smart infrastructure and environmental monitoring in the region.