Publications associées à The MuMMER Data Set for Robot Perception in Multi-party HRI Scenarios

Publications associées (29)

Extending Sensory Capabilities of a Biohybrid System: Prediction of Honeycomb Fill

Cyril Felix Monette, Francesco Mondada, Robert Matthew Mills

Interactive robotics is increasingly used to investigate animal behaviour, including communication, mating and collective dynamics. An essential component for such systems is sensing the animals and the relevant aspects of the habitat to enable coherent cl ...

IEEE2025

Intelligent Soft Robotic System for Sensing and Recognition via Triboelectric‐Based Multi‐Sensor Fusion

Xin Chen

Triboelectric nanogenerators (TENGs) serve as a key technology in flexible electronic devices, especially tactile sensors, enabling flexible robotic manipulators to effectively interact with their external environment. Persistent challenges include inadequ ...

Wiley2025

Automated Benchmarking of Variable‐Property Soft Robotic Fingertips to Enable Task‐Optimized Sensor Selection

David Samuel Hardman, Josephine Anna Eleanor Hughes, Qinghua Guan, Benhui Dai

Tactile fingertips are a vital component of biological dexterity, where they convey information from the environment through our sensory systems. Similarly, sensorized robotic fingertips are needed to unlock robotic dexterity, versatility, and diverse inte ...

Wiley2025

Filiform Variable Stiffness Technologies for Medical Robotics

Yegor Piskarev

In recent years, soft robotics has surged in applications like wearables, drones, smart fabrics, and medical instruments. Due to their compliance, these devices excel in tasks demanding dexterity and adaptability, such as manipulation, locomotion, crash re ...

EPFL2024

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

Jan Skaloud, Aman Sharma, Gabriel François Laupré

Navigation of drones is predominantly based on sensor fusion algorithms. Most of these algorithms make use of some form of Bayesian filtering with a majority employing an Extended Kalman Filter (EKF), wherein inertial measurements are fused with a Global N ...

2024

Use of high frequency electrorotation to identify cytoplasmic changes in cells non-disruptively

Kevin Theodric Uning

In this paper we demonstrate how the use of frequencies ranging from 50 kHz to 5 GHz in the analysis of cells by electrorotation can open the path to the identification of differences not detectable by conventional set-ups. Earlier works usually reported e ...

2023

Agent Prioritization and Virtual Drag Minimization in Dynamical System Modulation For Obstacle Avoidance of Decentralized Swarms

Alessandro Menichelli, Auke Ijspeert, Aude Billard, Lukas Huber, Anastasia Bolotnikova

Efficient and safe multi-agent swarm coordination in environments where humans operate, such as warehouses, assistive living rooms, or automated hospitals, is crucial for adopting automation. In this paper, we augment the obstacle avoidance algorithm based ...

IEEE2023

Punching tests on edge slab-column connections with refined measurements

Aurelio Muttoni, Andri Setiawan

Due to the significant shear forces developing around columns and the potential brittle failure associated, the punching capacity of flat slabs is the main concern at ultimate limit state. An effective way to understand the behaviour of slab-column connect ...

2023

Fabrication and characterization of NbTi microwave superconducting resonators

Jürgen Brugger, Giovanni Boero, Nergiz Sahin Solmaz, Reza Farsi, Hernán Furci, Roberto Russo, André Chatel

Superconducting resonators are widely used in fields spanning from quantum computing to electron spin resonance (ESR) spectroscopy. With the goal of realizing superconducting resonators, a broad variety and combination of superconducting materials, substra ...

ELSEVIER2023

New Network Architectures, Protocols, And Algorithms For Time-Sensitive Applications

Jean-Yves Le Boudec

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Elastic-Actuation Mechanism for Repetitive Hopping Based on Power Modulation and Cyclic Trajectory Generation

Auke Ijspeert, Dario Floreano, William John Stewart, Won Dong Shin, Matthew Alfonso Estrada

Animal locomotion results from a combination of power modulation and cyclic appendage trajectories, but combining these two properties in small-sized robots is difficult. Here, we introduce and characterize a new elastic actuation system based on an invert ...

2022

Auto-tuning ensemble models for estimating shear resistance of headed studs in concrete

Xianlin Wang

The shear resistance of headed studs is of paramount importance for the design of steel-concrete composite structures and an accurate predictive model is highly needed. Ensemble learning is expected to be a powerful solution while it relies on laborious se ...

2022

Assessment of the Thermal-Hydraulic Performance of the European DEMO NbTi Bus Bars

Rainer Wesche, Kamil Sedlák, Roberto Guarino

We present a numerical assessment of the thermal-hydraulic performance of the NbTi bus bars designed for the European DEMO. We consider the CS, TF and PF bus bars, as well as two alternative TF options for high-current operations. The main sources of stati ...

IEEE Institute of Electrical and Electronics Engineers2022

Machine-learning accelerated identification of exfoliable two-dimensional materials

Kumar Varoon Agrawal, Giovanni Pizzi, Mohammad Tohidivahdat

Two-dimensional (2D) materials have been a central focus of recent research because they host a variety of properties, making them attractive both for fundamental science and for applications. It is thus crucial to be able to identify accurately and effici ...

IOP Publishing Ltd2022

The Editorial

Daniel Thalmann

WILEY2022

Ultra-Small Bent Meta-Waveguide Filters

Romain Christophe Rémy Fleury, Maliheh Khatibi Moghaddam

This paper demonstrates the capability of locally resonant metamaterials (LRMs) for creating compact metallic waveguide E- and H-bends, which are simultaneously working as bandpass filters. For creating these bent meta-filters, we use composite pin-pipe wa ...

IEEE2022

Experimental and modeling-based analysis of reaction pathways on catalysts for natural gas engines under periodic lean/rich oscillations

Oliver Kröcher, Davide Ferri, Moyu Wang

Methane (CH4) has the prospective of becoming one of the major energy carriers for heavy-duty mobility, but its catalytic abatement remains a challenge. CH4 abatement reaction pathways were analyzed using targeted periodic lean/rich oscillations, which res ...

ELSEVIER SCIENCE SA2022

Dexterous textile manipulation using electroadhesive fingers

Herbert Shea, Vito Cacucciolo, Krishna Manaswi Digumarti

Handling of fabric is a crucial step in the manufacturing of garments. This task is typically performed by trained workers who manipulate one sheet at a time, thus introducing a bottleneck in the automation of the textile industry. This paper seeks to addr ...

IEEE2021

Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor

Seungryong Kim

We present the deep self-correlation (DSC) descriptor for establishing dense correspondences between images taken under different imaging modalities, such as different spectral ranges or lighting conditions. We encode local self-similar structure in a pyra ...

2021

Generating Smooth Pose Sequences for Diverse Human Motion Prediction

Mathieu Salzmann

Recent progress in stochastic motion prediction, i.e., predicting multiple possible future human motions given a single past pose sequence, has led to producing truly diverse future motions and even providing control over the motion of some body parts. How ...

IEEE2021