Publications related to Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

We propose a novel adaptive, accelerated algorithm for the stochastic constrained convex optimization setting. Our method, which is inspired by the Mirror-Prox method, simultaneously achieves the optimal rates for smooth/non-smooth problems with either det ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019

Reducing Noise in GAN Training with Variance Reduced Extragradient

François Fleuret, Tatjana Chavdarova

We study the effect of the stochastic gradient noise on the training of generative adversarial networks (GANs) and show that it can prevent the convergence of standard game optimization methods, while the batch version converges. We address this issue with ...

2019

Design and Calibration of a Lightweight Physics-Based Model for Fluid-Mediated Self-Assembly of Robotic Modules

Alcherio Martinoli, Hala Khodr, Bahar Haghighat

In this paper, we consider a system consisting of multiple floating robotic modules performing self-assembly. Faithfully modeling such a system and its inter-module interactions typically involves capturing the hydrodynamic forces acting on the modules usi ...

Springer2019

Bringing letters to life: handwriting with haptic-enabled tangible robots

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, Ayberk Özgür, Arzu Güneysu Özgür, Khalil Mrini, Elmira Yadollahi

In this paper, we present a robotic approach to improve the teaching of handwriting using the tangible, haptic-enabled and classroom-friendly Cellulo robots. Our efforts presented here are in line with the philosophy of the Cellulo platform: we aim to crea ...

ACM2018

Phase Transitions in the Pooled Data Problem

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the {\em pooled data} problem of identifying the labels associated with a large collection of items, based on a sequence of pooled tests revealing the counts of each label within the pool. In the noiseless setting, we identify an ex ...

2017

Quantum critical probing and simulation of colored quantum noise

Eduardo Carlo Mascarenhas Moraes

We propose a protocol to simulate the evolution of a non-Markovian open quantum system by considering a collisional process with a many-body system, which plays the role of an environment. As a result of our protocol, the environment spatial correlations a ...

Amer Physical Soc2017

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

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

The Ranger robot was designed to interact with children in order to motivate them to tidy up their room. Its mechanical configuration, together with the limited field of view of its depth camera, make the learning of obstacle avoidance behaviors a hard pro ...

Ieee2016

Time-Optimal Path-Following Operation in the Presence of Uncertainty

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Predrag Milosavljevic

Path-following tasks, which refer to dynamic motion planning along pre-specified geometric references, are frequently encountered in applications such as milling, robot-supported measurements, and trajectory planning for autonomous vehicles. Different conv ...

Ieee2016

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Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Reducing Noise in GAN Training with Variance Reduced Extragradient

Design and Calibration of a Lightweight Physics-Based Model for Fluid-Mediated Self-Assembly of Robotic Modules

Bringing letters to life: handwriting with haptic-enabled tangible robots

Learning to Control Drones in Natural Environments: A Survey

Phase Transitions in the Pooled Data Problem

Quantum critical probing and simulation of colored quantum noise

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

Time-Optimal Path-Following Operation in the Presence of Uncertainty

Graph Chatbot

Chat with Graph Search

Learning to Control Drones in Natural Environments: A Survey

Quantum critical probing and simulation of colored quantum noise

Reducing Noise in GAN Training with Variance Reduced Extragradient

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Design and Calibration of a Lightweight Physics-Based Model for Fluid-Mediated Self-Assembly of Robotic Modules

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

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

Bringing letters to life: handwriting with haptic-enabled tangible robots

Phase Transitions in the Pooled Data Problem

Time-Optimal Path-Following Operation in the Presence of Uncertainty