Thermal soaring, a technique used by birds and gliders to utilize updrafts of hot air, is an appealing model-problem for studying motion control and how it is learned by animals and engineered ...

The uncertain stability of deep reinforcement learning training on complex tasks impedes its development and deployment, especially in intelligent vehicles, such as intelligent surface vessels and ...

The Stanford professor’s work gives autonomous systems new frameworks for tackling complex tasks. Robots and AI agents are ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Autonomous systems are playing a significant role in modern society, including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in ...

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

The DevOps landscape is changing very quickly. As companies in various industries pursue relentless attempts to boost operational performance, strengthen security posture and scale, there are two ...

Operating from Auburn University’s GPS and Vehicle Dynamics Laboratory (GAVLAB), the Autonomous Tiger Racing (ATR) team ...

Getting your Trinity Audio player ready... Big Tech’s self-driving vehicles — a fleet of white Jaguars and powder-blue Zeekrs topped with rotating black cameras and radar — have been rolling around ...

The convergence of indigenous knowledge systems and emerging technologies continues to redefine the boundaries of ...