Giuseppe Averta

Orcid: 0000-0003-1212-3465

According to our database1, Giuseppe Averta authored at least 40 papers between 2017 and 2024.

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Bibliography

2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives.
CoRR, 2024

PEM: Prototype-based Efficient MaskFormer for Image Segmentation.
CoRR, 2024

2023
A Multi-Modal Under-Sensorized Wearable System for Optimal Kinematic and Muscular Tracking of Human Upper Limb Motion.
Sensors, April, 2023

Bringing Online Egocentric Action Recognition Into the Wild.
IEEE Robotics Autom. Lett., April, 2023

Graph Learning in Robotics: A Survey.
IEEE Access, 2023

FreeREA: Training-Free Evolution-based Architecture Search.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Test Time Adaptation for Egocentric Vision.
Proceedings of the Italia Intelligenza Artificiale, 2023

Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots.
IROS, 2023

Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Entropic Score metric: Decoupling Topology and Size in Training-free NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices
Springer Tracts in Advanced Robotics 145, Springer, ISBN: 978-3-030-92520-8, 2022

Optimal Reconstruction of Human Motion From Scarce Multimodal Data.
IEEE Trans. Hum. Mach. Syst., 2022

Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data.
IEEE Robotics Autom. Lett., 2022

PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition.
CoRR, 2022

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.
CoRR, 2022

Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery.
Adv. Intell. Syst., 2022

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.
Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

Online vs. Offline Adaptive Domain Randomization Benchmark.
Proceedings of the Human-Friendly Robotics 2022, 2022

Toward Human-Robot Cooperation: Unsupervised Domain Adaptation for Egocentric Action Recognition.
Proceedings of the Human-Friendly Robotics 2022, 2022

Estimation of Whole-Body Muscular Activation from an Optimal Set of Scarce Electromyographic Recordings.
Proceedings of the Human-Friendly Robotics 2022, 2022

2021
Understanding Human Manipulation With the Environment: A Novel Taxonomy for Video Labelling.
IEEE Robotics Autom. Lett., 2021

Editorial: On the Planning, Control, and Perception of Soft Robotic End-Effectors.
Frontiers Robotics AI, 2021

2020
Design and Validation of the Readable Device: A Single-Cell Electromagnetic Refreshable Braille Display.
IEEE Trans. Haptics, 2020

Modeling Previous Trial Effect in Human Manipulation through Iterative Learning Control.
Adv. Intell. Syst., 2020

To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands.
Proceedings of the 3rd IEEE International Conference on Soft Robotics, 2020

A technical framework for human-like motion generation with autonomous anthropomorphic redundant manipulators.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Modeling Human Motor Skills to Enhance Robots' Physical Interaction.
Proceedings of the Human-Friendly Robotics 2020 - 13th International Workshop, 2020

A novel mechatronic system for evaluating elbow muscular spasticity relying on Tonic Stretch Reflex Threshold estimation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Enhancing Robot-Environment Physical Interaction via Optimal Impedance Profiles.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands.
IEEE Robotics Autom. Lett., 2019

A functional analysis-based approach to quantify upper limb impairment level in chronic stroke patients: a pilot study.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Efficient Walking Gait Generation via Principal Component Representation of Optimal Trajectories: Application to a Planar Biped Robot With Elastic Joints.
IEEE Robotics Autom. Lett., 2018

Incrementality and Hierarchies in the Enrollment of Multiple Synergies for Grasp Planning.
IEEE Robotics Autom. Lett., 2018

Touch-Based Grasp Primitives for Soft Hands: Applications to Human-to-Robot Handover Tasks and Beyond.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

EEG Processing to Discriminate Transitive-Intransitive Motor Imagery Tasks: Preliminary Evidences using Support Vector Machines.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

EEG Complexity Maps to Characterise Brain Dynamics during Upper Limb Motor Imagery.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Unvealing the Principal Modes of Human Upper Limb Movements through Functional Analysis.
Frontiers Robotics AI, 2017

Postural Hand Synergies during Environmental Constraint Exploitation.
Frontiers Neurorobotics, 2017

From humans to robots: The role of cutaneous impairment in human environmental constraint exploitation to inform the design of robotic hands.
Proceedings of the 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2017

Design of an under-actuated wrist based on adaptive synergies.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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