What if AI doesn’t come to control us through force, but through convenience—predicting our thoughts, smoothing decisions, ...

AI optimizes injection molding beyond human understanding, creating new challenges for process control and failure recovery.

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They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

Abstract: MPC has gained popularity for its ability to satisfy constraints and guarantee robustness for certain classes of systems. However, for systems whose dynamics are characterized by a high ...

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Abstract: Pointing control technology is critical for numerous applications such as space communication and target surveillance. The challenge for pointing systems is to achieve the highest possible ...

This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating ...