The Robotics, Intelligent Systems, and Control (RISC) lab at KAUST is developing swarm robotics, enabling robots to work together on collaborative tasks with limited human supervision. RISC is using game theory to improve how robots make coordinated decisions in scenarios like engaging intruders or tracking oil spills. The lab is also researching programmable self-assembly for robot swarms. Why it matters: This research advances autonomous multi-agent systems for critical applications like search and rescue and environmental monitoring in the region.
Giulia De Masi, Principal Scientist at the Technology Innovation Institute (TII) in Abu Dhabi, specializes in Collective Intelligence and Swarm Robotics. Her work focuses on designing emergent behaviors in robot swarms through local interactions, drawing inspiration from social insects. De Masi's background includes positions at academic institutions in the UAE and a PhD from the University of Rome La Sapienza. Why it matters: This highlights the growing focus on swarm robotics and collective intelligence research within the UAE, with potential applications in various industries.
Eliseo Ferrante from NYU Abu Dhabi presented work on increasing the controllability of swarm robotics systems. The research covers microscopic control via implicit intelligent leaders and macroscopic control via automated generation of swarm behaviors. Grammatical evolution and generative AI methods are used to produce collective behaviors aligned with human specifications. Why it matters: This research enhances the applicability of swarm robotics in real-world scenarios by improving control and coordination, potentially impacting industries like logistics, environmental monitoring, and disaster response in the region.
Researchers in Abu Dhabi developed H-SURF, a swarm of bio-inspired robotic fish for underwater data collection. Funded by the Technology Innovation Institute (TII) and conducted at Khalifa University, H-SURF uses swarm intelligence and optical communication to minimize disturbance to marine life. The project was recently recognized with the Sheikh Hamdan bin Zayed Award for Environmental Research.
This paper presents a decentralized multi-agent unmanned aerial system designed for search, pickup, and relocation of objects. The system integrates multi-agent aerial exploration, object detection/tracking, and aerial gripping. The decentralized system uses global state estimation, reactive collision avoidance, and sweep planning for exploration. Why it matters: The system's successful deployment in demonstrations and competitions like MBZIRC highlights the potential of integrated robotic solutions for complex tasks such as search and rescue in the region.