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

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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

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

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

Filiform Variable Stiffness Technologies for Medical Robotics

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

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

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

Punching tests on edge slab-column connections with refined measurements

Fabrication and characterization of NbTi microwave superconducting resonators

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

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

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

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

Machine-learning accelerated identification of exfoliable two-dimensional materials

The Editorial

Ultra-Small Bent Meta-Waveguide Filters

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

Dexterous textile manipulation using electroadhesive fingers

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

Generating Smooth Pose Sequences for Diverse Human Motion Prediction