Publications associées à Noise-Resistant Particle Swarm Optimization for the Learning of Robust Obstacle Avoidance Controllers using a Depth Camera

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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Noise-Resistant Particle Swarm Optimization for the Learning of Robust Obstacle Avoidance Controllers using a Depth Camera

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C-shells: Deployable Gridshells with Curved Beams

Memory of Motion for Initializing Optimization in Robotics

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Pareto-like sequential sampling heuristic for global optimisation

Reality-assisted evolution of soft robots through large-scale physical experimentation: a review

Convergence of adaptive algorithms for constrained weakly convex optimization

An optimized material removal process

SwarmLab: a MATLAB Drone Swarm Simulator

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues

Low-Complexity Optimization-Based Control: Design, Methods and Applications

Pareto-like sequential sampling heuristic for global optimisation

C-shells: Deployable Gridshells with Curved Beams

Memory of Motion for Initializing Optimization in Robotics

Reality-assisted evolution of soft robots through large-scale physical experimentation: a review

SwarmLab: a MATLAB Drone Swarm Simulator

Convergence of adaptive algorithms for constrained weakly convex optimization

An optimized material removal process

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Low-Complexity Optimization-Based Control: Design, Methods and Applications

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues