Lecture

Learning Single-Arm Fling Motions: Efficient Garment Smoothing

Description

This lecture presents a study on learning single-arm fling motions to smooth garments efficiently. The instructor discusses the challenges faced by the fashion industry in garment smoothing and the complex configuration space involved. Various strategies, such as garment smoothing with quasi-static and dynamic actions, are explored. The lecture delves into types of uncertainty, including epistemic and aleatoric uncertainty, and their impact on single-arm fling repeatability. Additionally, optimization techniques like Coarse-to-Fine Optimization and leveraging garment category priors for accelerated learning are discussed. The lecture also covers the concept of optimal stopping rules during execution and presents results from physical experiments comparing robot performance to humans.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.