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 ...

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 ...

Robotics and Autonomous Systems 1: Integrated Approaches to Fabrication, Computation and Architectural Design presents design research from the University of Pennsylvania Weitzman School of Design’s ...

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

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