Skip to content
GCC AI Research

Search

Results for "Unmanned Ground Vehicle"

Abu Dhabi’s Technology Innovation Institute, ASPIRE and Maqta Gateway Collaborate to Enhance Autonomous Technologies

TII ·

Technology Innovation Institute (TII), ASPIRE, and Maqta Gateway have signed a Proof-of-Concept (PoC) agreement to develop AI and robotics solutions for terrestrial, aerial, and marine applications. The projects include unmanned ground vehicles for cargo movement and autonomous watercraft for passenger transport in Abu Dhabi. The solutions will use computer vision, communication, sensors, and Lidar technology to integrate with AD Ports Group’s infrastructure, enhancing productivity and reducing costs. Why it matters: This partnership signifies Abu Dhabi's commitment to integrating advanced autonomous technologies into its logistics and transportation infrastructure, potentially setting a new standard for efficiency and sustainability in the region.

Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios

arXiv ·

This paper presents the design and deployment of an autonomous unmanned ground vehicle (UGV) equipped with a robotic arm for urban firefighting. The UGV uses on-board sensors for navigation and a thermal camera for fire source identification, with a custom pump for fire suppression. The system was developed for the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020, where it achieved the highest score among UGV solutions and contributed to winning first place. Why it matters: This demonstrates the potential of autonomous robotics in addressing complex and dangerous real-world challenges like urban firefighting in the GCC region and beyond.

RUR53: an Unmanned Ground Vehicle for Navigation, Recognition and Manipulation

arXiv ·

Researchers present RUR53, an unmanned ground vehicle (UGV) capable of autonomous navigation, object recognition, and tool manipulation. The UGV uses a modular software architecture, enabling it to perform complex tasks like detecting panels, docking, and manipulating tools such as wrenches and valve stems. RUR53 was tested at the 2017 Mohamed Bin Zayed International Robotics Challenge where it ranked third in the Grand Challenge as part of a collaboration. Why it matters: This research demonstrates advanced robotics capabilities applicable to various industrial and inspection tasks, highlighting the UAE's focus on robotics innovation.