Alexandre Amice

Towards Tight Convex Relaxations for Contact-Rich Manipulation

bernhard-p-graesdal
Certifying Bimanual RRT Motion Plans in a Second featured image

Certifying Bimanual RRT Motion Plans in a Second

alexandre-amice
Approximate Optimal Controller Synthesis for Cart-Poles and Quadrotors via Sums-of-Squares featured image

Approximate Optimal Controller Synthesis for Cart-Poles and Quadrotors via Sums-of-Squares

Sums-of-squares (SOS) optimization is a promising tool to synthesize certifiable controllers for nonlinear dynamical systems. Building upon prior works, we demonstrate that SOS can …

lujie-yang
Solving Least Squares Problems on Partially Ordered Sets featured image

Solving Least Squares Problems on Partially Ordered Sets

We study a general class of least-squares problems structured according to a partially ordered set (poset). This is a fundamental optimization problem underlying the design of …

alexandre-amice

Discrete Approximate Information States in Partially Observable Environments

The notion of approximate information states (AIS) was introduced in (Subramanian 2020) as a methodology for learning task-relevant state representations for control in partially …

lujie-yang

Approximately supermodular scheduling subject to matroid constraints

Control scheduling refers to the problem of assigning agents or actuators to act upon a dynamical system at specific times so as to minimize a quadratic control cost, such as the …

luiz-fo-chamon

Resilient control: Compromising to adapt

— In optimal control problems, disturbances are typically dealt with using robust solutions, such as H∞ or tube model predictive control, that plan control actions feasible for the …

luiz-fo-chamon