Abstract: Advances in data-driven and learning-based methodologies have enabled unprecedented autonomy in many engineered systems, but intelligent modeling and control of fluid flows have yet...
Title: From Additive Complexity to Intrinsic Intelligence: Designing Reliable Robotic Manipulation for the Real World Abstract: Conventional robots are often brittle because we try to...
Abstract: Artificial intelligence and machine learning (AI/ML) are revolutionizing engineering and science by enabling precise prediction and accelerated optimization across manufacturing, robotics, transportation, aerospace, and...
Abstract: Cyber-physical systems (CPS) integrate physical processes, cyber components, and communication networks to enable close interaction between computation and the physical world. These systems underpin...
Abstract: Autonomous systems are rapidly transitioning from controlled research environments into real-world applications, including drones, self-driving vehicles, and service robots. However, their broad deployment depends...
Abstract: Autonomous vehicles and robots operating in human-centric environments must tightly couple perception, reasoning, and control to interact safely and effectively with the physical world....