“Data will solve robotics and automation: True or false?”: A debate

Aude Billard
2025
Journal Articles

Abstract

Leading researchers debate the long-term influence of model-free methods that use large sets of demonstration data to train numerical generative models to control robots.

Official source

About
Privacy
Disclaimer

Graph Chatbot

Aude Billard
2025
Journal Articles

Abstract

Leading researchers debate the long-term influence of model-free methods that use large sets of demonstration data to train numerical generative models to control robots.

Official source

Related publications (5)

https://infoscience.epfl.ch/entities/publication/f3b4529d-8750-4710-a39b-d2479700d8d1

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.

Related publications (5)

A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects [Survey]

Josephine Anna Eleanor Hughes, Qinghua Guan

Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits, adaptability is pa ...

2025

Learning by Teaching: Designing Teachable Agents to Support Children's Pronunciation Skill Learning

Pierre Dillenbourg, Chenyang Wang, Lucas Gérard Julien Burget

Pronunciation is a critical yet challenging aspect of language acquisition, especially for children. In this work, we propose a new teachable agent system designed to support children's pronunciation learning through a Learning-by-Teaching paradigm to addr ...

Association for Computing Machinery2025

A Predictive Model for Tactile Force Estimation Using Audio-Tactile Data

Dominic Reber, Aude Billard, Ahalya Prabhakar, Loïc Niederhauser

Robust in-hand manipulation of objects with movable content requires estimation and prediction of the contents' motion with enough anticipation to allow time to compensate for resulting internal torques. The quick estimation of the objects' dynamics can be ...

Ieee-Inst Electrical Electronics Engineers Inc2024