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Results for "Space Autopilot"

Would you fly in a plane piloted solely by AI?

MBZUAI ·

The article discusses the potential of AI in piloting planes, noting current autopilot systems still require human input. Martin Takáč from MBZUAI expresses confidence in AI's ability to handle flight scenarios, citing its capacity for extensive simulation and error minimization through reinforcement learning. AI is already used in aviation for tasks like route planning and maintenance. Why it matters: The piece highlights the growing role of AI in aviation and raises important questions about the future of autonomous flight in the region.

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds

arXiv ·

Team TII EuroRacing (TII-ER) developed a full autonomous software stack for oval racing, enabling speeds above 75 m/s (270 km/h). The software includes modules for perception, planning, control, vehicle dynamics modeling, simulation, telemetry, and safety. The team achieved second and third place in the first two Indy Autonomous Challenge events using this stack.

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.

Minimalistic Autonomous Stack for High-Speed Time-Trial Racing

arXiv ·

This paper introduces a minimalistic autonomous racing stack designed for high-speed time-trial racing, emphasizing rapid deployment and efficient system integration with minimal on-track testing. Validated on real speedways, the stack achieved a top speed of 206 km/h within just 11 hours of practice, covering 325 km. The system performance analysis includes tracking accuracy, vehicle dynamics, and safety considerations. Why it matters: This research offers insights for teams aiming to quickly develop and deploy autonomous racing stacks with limited track access, potentially accelerating innovation in autonomous vehicle technology within the A2RL and similar racing initiatives.

The right space and time

KAUST ·

Edward C. Stone, former Director of the Jet Propulsion Laboratories at Caltech, spoke at KAUST's Winter Enrichment Program in 2017. He discussed the exploration of Neptune's moon Triton, enabled by the Voyager 2 mission. The article includes images from NASA's Voyager 1 and 2 missions and a photo of King Abdullah. Why it matters: Such events and collaborations enhance KAUST's reputation as a leading science and technology university.

Visually Guided Balloon Popping with an Autonomous MAV at MBZIRC 2020

arXiv ·

This paper presents a fully autonomous micro aerial vehicle (MAV) developed to pop balloons using onboard sensing and computing. The system was evaluated at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The MAV successfully popped all five balloons in under two minutes in each of the three competition runs. Why it matters: This demonstrates the potential of autonomous robotics and computer vision for real-world applications in challenging environments.