Publications related to Robots for Learning - Learner Centred Design

Related publications (21)

Roadmap on Embodying Mechano-intelligence and Computing in Functional Materials and Structures

Pedro Miguel Nunes Pereira de Almeida Reis, Kanthasamy Ubamanyu

This is a roadmap article with multiple contributors on different aspects of embodying intelligence and computing in the mechanical domain of functional materials and structures. Overall, an IOP roadmap article is a broad, multi-author review with leaders ...

IOP Publishing Ltd2025

Material-like robotic collectives with spatiotemporal control of strength and shape

Sangwoo Kim

The vision of robotic materials—cohesive collectives of robotic units that can arrange into virtually any form with any physical properties—has long intrigued both science and fiction. Yet, this vision requires a fundamental physical challenge to be overco ...

American Association for the Advancement of Science (AAAS)2025

Jupyter Analytics: A Toolkit for Collecting, Analyzing, and Visualizing Distributed Student Activity in Jupyter Notebooks

Pierre Dillenbourg, Roland John Tormey, Richard Lee Davis, Zhenyu Cai

Jupyter is a web-based, interactive computing environment that supports many commonly-used programming languages. It has been widely adopted in the CS education community and is now rapidly expanding to other STEM disciplines due to the growing integration ...

ACM2025

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

Aude Billard

The importance of construction automation has grown worldwide, aiming to deliver new machineries for the automation of roads, tunnels, bridges, buildings and earth-work construction. This need is mainly driven by (i) the shortage and rising costs of skille ...

F1000 Research Ltd2024

Materials science experiments by robotic automation

Vincenzo Scamarcio

The increasing demand for precision, reproducibility, and scalability in scientific research has driven the development of advanced robotic systems for laboratory automation. This thesis presents the design, implementation, and validation of a mobile robot ...

EPFL2024

Design and Control of Roller Grasper V3 for In-Hand Manipulation

Teng Xue

Robot in-hand manipulation is an important skill for robots to carry out sophisticated tasks that require moving the grasped object within hand. In this work, we present the Roller Grasper V3, a nonanthropomorphic robot grasper with a steerable roller on e ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2024

Asymmetric fin shape changes swimming dynamics of ancient marine reptiles' soft robophysical models

Auke Ijspeert

Animals have evolved highly effective locomotion capabilities in terrestrial, aerial, and aquatic environments. Over life's history, mass extinctions have wiped out unique animal species with specialized adaptations, leaving paleontologists to reconstruct ...

Bristol2024

Annotation Cost-Efficient Active Learning for Deep Metric Learning-Driven Remote Sensing Image Retrieval

Gencer Sümbül

Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of the DML methods for CBIR rely on a high number of annotated images to accurately learn model parameters of deep neural networks (D ...

2024

MixedLAB: Mixed Reality to Teach Students Experimental Knowledge in Microfabrication

Jürgen Brugger, Qinglan Shan

We are developing a new approach to leverage Mixed Reality (MR) affordances for teaching microfabrication processes, such as performed in a cleanroom. Our goal is to design interactive MR content to improve microfabrication and cleanroom training practices ...

2024

Distributed Machine Learning Targeting Embedded Systems for Epilepsy Detection

Saleh Baghersalimi

Epileptic seizure detection and monitoring is critical in healthcare, particularly for individuals requiring continuous oversight. Current methods, primarily based on electroencephalogram (EEG) technologies, face limitations due to their complexity in term ...

EPFL2024

All-Printed Finger-Inspired Tactile Sensor Array for Microscale Texture Detection and 3D Reconstruction

Jürgen Brugger

Electronic skins are expected to replicate a human-like tactile sense, which significantly detects surface information, including geometry, material, and temperature. Although most texture features can be sensed in the horizontal direction, the lack of eff ...

2024

Facilitated machine learning for image-based fruit quality assessment

Fernando Perez Cruz

Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient. In many regions, implementing such systems can be difficult due to the lack of centralization and automation of postharvest supply chai ...

2023

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Henry Markram, Marc-Oliver Gewaltig

From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal joints w ...

2022

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior

Dian Wu

Flow-based generative models have become an important class of unsupervised learning approaches. In this work, we incorporate the key ideas of renormalization group (RG) and sparse prior distribution to design a hierarchical flow-based generative model, RG ...

IOP Publishing Ltd2022

Stokes, Gibbs, and Volume Computation of Semi-Algebraic Sets

Matteo Raphael Tacchi

We consider the problem of computing the Lebesgue volume of compact basic semi-algebraic sets. In full generality, it can be approximated as closely as desired by a converging hierarchy of upper bounds obtained by applying the Moment-SOS (sums of squares) ...

SPRINGER2022

KGP Meter: Communicating Kin Genomic Privacy to the Masses

Didier Louis Dupertuis

Direct-to-consumer genetic testing services are gaining momentum: As of today, companies such as 23andMe or AncestryDNA have already attracted 26 million customers. These services raise privacy concerns, exacerbated by the fact that their customers can the ...

IEEE COMPUTER SOC2022

Credit Assignment Safety Learning from Human Demonstrations

Aude Billard, Ahalya Prabhakar

A critical need in assistive robotics, such as assistive wheelchairs for navigation, is a need to learn task intent and safety guarantees through user interactions in order to ensure safe task performance. For tasks where the objectives from the user are n ...

2021

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Guillaume Andréa Jérémie Tauzin, Kathryn Hess Bellwald, Anibal Maximiliano Medina Mardones

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn {compatible API and state-of-the-art C++ implementations. The library's ability to handle various types of data is ...

2021

Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research

Grégoire Courtine

During gait neurorehabilitation, many factors influence the quality of gait patterns, particularly the chosen body-weight support (BWS) device. Consequently, robotic BWS devices play a key role in gait rehabilitation of people with neurological disorders. ...

AMER ASSOC ADVANCEMENT SCIENCE2021

Decision Learning and Adaptation Over Multi-Task Networks

Ali H. Sayed

This paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021