Stephen J. Redmond

A Neuromorphic Incipient Slip Detection System Using Papillae Morphology

Yanhui Lu, Zeyu Deng, Stephen J. Redmond, Efi Psomopoulou et autres

Detecting incipient slip enables early intervention to prevent object slippage and enhance robotic manipulation safety. Achieving this requires tactile interfaces with compliant, high-sensitivity skins that amplify local deformation differences and tactile sensing pipelines that preserve and exploit high-resolution spatio-temporal signals. This work …

gb, ie (code pays fourni par la source)

Tailored Loss Functions to Improve Vertebra Centroid Localisation and Classification in Sagittal Spinal Radiographs

Cliodhna Gartland, Fjorda Koromani, John J. Healy, Gennady V. Roshchupkin et autres

A healthy spine is essential for a high-quality life, yet spinal musculoskeletal issues cause suffering and significant socioeconomic burdens. Osteoporotic vertebral fractures (OVFs), for example, increase risk of future fractures, morbidity, and mortality. While spine radiography is the gold standard for OVF …

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Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing with the PapillArray Tactile Sensor

Jingtao Zhang, Yi Liu, Yanxun Lu, Stephen J. Redmond et autres

Timely detection of incipient slip is critical for delicate robotic grasping and dexterous manipulation. However, existing learning-based methods suffer from detection latency and high computational demands. In this paper, we present an ultra-fast lightweight incipient slip detection framework based on hyperdimensional (HD) …

cn, ie (code pays fourni par la source)

Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing With the PapillArray Tactile Sensor

Jingtao Zhang, Yanxun Lu, Stephen J. Redmond, Changhong Wang

Timely detection of incipient slip is critical for delicate robotic grasping and dexterous manipulation. However, existing learning-based methods suffer from detection latency and high computational demands. In this paper, we present an ultra-fast lightweight incipient slip detection framework based on hyperdimensional (HD) …

cn, ie (code pays fourni par la source)

Filtering Human Demonstration Datasets to Improve Policy Learning for Robotic Manipulation

Yixin Deng, Keru Wang, Stephen J. Redmond

Control policies that can generate complex robot behaviors can be learned from human demonstrations; this is especially useful for learning dexterous object manipulation tasks common to field and rescue robotics applications. However, training data collected from human demonstrators often exhibit significant variations …

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Automated system of analysis to quantify pediatric hip morphology

Cliodhna N Gartland, John J. Healy, Rosanne-Sara Lynham, Niamh C. Nowlan et autres

Developmental dysplasia of the hip (DDH), a developmental deformity with an incidence of 0.1-3.4%, lacks an objective and reliable definition and assessment metric by which to conduct timely diagnosis. This work aims to address this challenge by developing a system of analysis …

ie (code pays fourni par la source)

Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing with the PapillArray Tactile Sensor

Jingtao Zhang, Yi Liu, Yanxun Lu, Stephen J. Redmond et autres

Timely detection of incipient slip is critical for delicate robotic grasping and dexterous manipulation. However, existing learning-based methods suffer from detection latency and high computational demands. In this paper, we present an ultra-fast lightweight incipient slip detection framework based on hyperdimensional (HD) …

cn, ie (code pays fourni par la source)

On the Feasibility of Adapting the LiVec Tactile Sensing Principle to Non-Planar Surfaces: A Thin, Flexible Tactile Sensor

Olivia Leslie, David Córdova Bulens, Stephen J. Redmond

Tactile sensation across the whole hand, including the fingers and palm, is essential for manipulation and, therefore, is expected to be similarly useful for enabling dexterous robot manipulation. Tactile sensation would ideally be distributed (over large surface areas), have a high precision, …

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Light Vector (LiVec) Non-camera-based Tactile Sensor Design

Stephen J. Redmond, David Córdova Bulens, Olivia Leslie

We present an alternative approach to optical tactile sensor design that uses a non-camera-based sensing principle that we term light vector (LiVec) sensing. We propose to present a poster that provides an overarching summary of our work on this design concept to …

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HTA324 Challenges of the PICO Scoping Process: How Does the Number of Involved Member States Impact Results?

Timo M. Ecker, V Barz, Stephen J. Redmond, J Zacho et autres

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Speed-invariant Texture Discrimination using an Optical Tactile Sensor Array (LiVec Finger)

Olivia Leslie, David Córdova Bulens, Stephen J. Redmond

Providing robotic fingers with tactile sensation can enable better performance of dexterous manipulation. Identifying a texture by touch can further the ability of grippers to adjust their grip to the object being contacted. This work presents a non-camera-based optical tactile sensor array …

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A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms

Ahmadreza Argha, Hamid Alinejad‐Rokny, G. Schreier, Branko G. Celler et autres

OBJECTIVE: Telehealth paradigms are essential for remotely managing patients with chronic conditions. To assist clinicians in handling the large volumes of data collected through these systems, clinical decision support systems (CDSSs) have been developed. However, the effectiveness of CDSSs depends on the …

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