In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...

Abstract: In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to it's ability to solve very large, practical engineering problems reliably ...

In 2025, speed is no longer a “nice-to-have” for your WordPress website—it’s a must-have. Visitors expect your site to load in under 3 seconds, and search engines like Google use site speed as a key ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

Proximal Policy Optimization (PPO) is a reinforcement learning algorithm used in deep reinforcement learning. It is an on-policy algorithm that combines the benefits of trust region optimization and ...