Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

This project contains a set of tutorials on how to perform descriptive and inferential (Bayesian and Frequentist) discrete-time event history analysis (EHA; a.k.a. hazard analysis, survial analysis, ...

Abstract: Task automation of surgical robot has the potentials to improve surgical efficiency. Recent reinforcement learning (RL) based approaches provide scalable solutions to surgical automation, ...

This repository hosts the implementation of an innovative methodology for the intelligent optimization of steel structures using a BIM-based visual programming platform and tools. The methodology ...

Jan. 25, 2026 A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain ...