Skip to content
GCC AI Research

Search

Results for "autonomous systems"

UAE leads globally in autonomous systems, future engineering - ZAWYA

Zawya ·

The UAE is making significant strides in adopting autonomous systems and future engineering technologies, solidifying its position as a global leader in these fields. This advancement is driven by strategic investments, supportive government policies, and a focus on innovation across various sectors. The nation aims to leverage these technologies to enhance its economic competitiveness and improve the quality of life for its citizens. Why it matters: The UAE's focus on autonomous systems signals a broader regional trend toward embracing advanced technologies for economic diversification and sustainable development.

A Decentralized Multi-Agent Unmanned Aerial System to Search, Pick Up, and Relocate Objects

arXiv ·

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.

Learning Robot Super Autonomy

MBZUAI ·

Giuseppe Loianno from NYU presented research on creating "Super Autonomous" robots (USARC) that are Unmanned, Small, Agile, Resilient, and Collaborative. The research focuses on learning models, control, and navigation policies for single and collaborative robots operating in challenging environments. The talk highlighted the potential of these robots in logistics, reconnaissance, and other time-sensitive tasks. Why it matters: This points to growing research interest in advanced robotics in the region, especially given the focus on smart cities and automation.

Automated Decision Making for Safety Critical Applications

MBZUAI ·

Mykel Kochenderfer from Stanford University gave a talk on building robust decision-making systems for autonomous systems, highlighting the challenges of balancing safety and efficiency in uncertain environments. The talk addressed computational tractability and establishing trust in these systems. Kochenderfer outlined methodologies and research applications for building safer systems, drawing from his work on air traffic control, unmanned aircraft, and automated driving. Why it matters: The development of safe and reliable autonomous systems is crucial for various applications in the region, and insights from experts like Kochenderfer can guide research and development efforts at institutions like MBZUAI.

KAUST hosts experts on autonomous transport policies

KAUST ·

KAUST and the WEF's Fourth Industrial Revolution Center co-hosted a workshop on the responsible adoption of autonomous transport systems in Saudi Arabia. The workshop brought together experts from universities, government, and private sectors to harmonize policies and regulations. Discussions focused on experimental testing, aligning goals with global standards, and forming a community of stakeholders. Why it matters: This initiative signals Saudi Arabia's proactive approach to integrating autonomous technologies into its transportation sector in a safe and regulated manner, aligning with its "Future of Transportation" initiative.