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

Publications associées (13)

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

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. ...

American Association for the Advancement of Science (AAAS)2025

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

Drone-Based Urban Traffic Monitoring and User Behavior Prediction

Sohyeong Kim

As urban populations continue to expand and vehicle density increases, the need for effective traffic monitoring and management becomes increasingly critical. Urban areas face significant challenges such as growing congestion, safety concerns, and parking ...

EPFL2025

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

Lab2Field transfer of a robotic raspberry harvester enabled by a soft sensorized physical twin

Josephine Anna Eleanor Hughes, Kai Christian Junge

Robotic fruit harvesting requires dexterity to handle delicate crops and development relying upon field testing possible only during the harvesting season. Here we focus on raspberry crops, and explore how the research methodology of harvesting robots can ...

2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Alexander Mathis, Mackenzie Mathis, Shaokai Ye, Jessy Lauer, Mu Zhou

The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifying behavior analysis is often challenging without deep understanding of anim ...

2023

Automation in steep terrain agriculture: an optimal controller to prevent tipping and slipping of tethered robots on slopes

Josephine Anna Eleanor Hughes, Max Mirko Polzin

Autonomous robots have the potential to fundamentally transform conventional farming methods, e.g. by enabling economically viable farming of sloped arable land. However, navigation on slopes in harsh conditions is challenging for robots as they must be pr ...

TAYLOR & FRANCIS LTD2023

Forward-forward training of an optical neural network

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç, Ilker Oguz, Mustafa Yildirim, Jih-Liang Hsieh

Neural networks (NNs) have demonstrated remarkable capabilities in various tasks, but their computation-intensive nature demands faster and more energy-efficient hardware implementations. Optics-based platforms, using technologies such as silicon photonics ...

Optica Publishing Group2023

Learning the rules of mitochondrial network dynamics using generative models

Suliana Manley

AMER SOC CELL BIOLOGY2023

Stochastic Approximation of Variational Quantum Imaginary Time Evolution

Giuseppe Carleo

The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning. Since simulating quantum imaginary-time evolution generally requires storing an exponentially large w ...

Institute of Electrical and Electronics Engineers Inc.2023

Model-Agnostic Learning to Meta-Learn

Yatin Dandi, Arnout Jan J Devos

In this paper, we propose a learning algorithm that enables a model to quickly exploit commonalities among related tasks from an unseen task distribution, before quickly adapting to specific tasks from that same distribution. We investigate how learning wi ...

PMLR2021

Changing Perspective as A Learning Mechanism

Pierre Dillenbourg, Elmira Yadollahi

One of the numerous approaches that increases the interaction quality between two people is having a proper understanding of the other person's perspective. In this doctoral thesis, we aim to understand children's perspective taking behavior, create a pers ...

ASSOC COMPUTING MACHINERY2020

Capsule networks explain complex spatial processing

Michael Herzog, Adrien Christophe Doerig

Classically, visual processing is described as a cascade of local feedforward computations. This view has received striking support from the success of convolutional neural networks (CNNs). However, CNNs only roughly mimic human vision. For example, CNNs d ...

SAGE PUBLICATIONS LTD2019