Ricardo V. Godoy

Orcid: 0000-0002-5323-9299

According to our database1, Ricardo V. Godoy authored at least 16 papers between 2019 and 2024.

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Bibliography

2024
Multi-Layer, Sensorized Kirigami Grippers for Delicate Yet Robust Robot Grasping and Single-Grasp Object Identification.
IEEE Access, 2024

2023
Electromyography Based Gesture Decoding Employing Few-Shot Learning, Transfer Learning, and Training From Scratch.
IEEE Access, 2023

Scalable. Intuitive Human to Robot Skill Transfer with Wearable Human Machine Interfaces: On Complex, Dexterous Tasks.
IROS, 2023

Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation.
IROS, 2023

On Semi-Autonomous Robotic Telemanipulation Employing Electromyography Based Motion Decoding and Potential Fields.
IROS, 2023

An Affordances and Electromyography Based Telemanipulation Framework for Control of Robotic Arm-Hand Systems.
IROS, 2023

On Human Grasping and Manipulation in Kitchens: Automated Annotation, Insights, and Metrics for Effective Data Collection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-Grasp Classification for the Control of Robot Hands Employing Transformers and Lightmyography Signals.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

An Adaptive, Humanlike Prosthetic Hand Equipped with a Series Elastic Differential and a Lightmyography Based Control Interface.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Why, in Deep Learning, Non-smooth Activation Function Works Better Than Smooth Ones.
Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

2022
Electromyography-Based, Robust Hand Motion Classification Employing Temporal Multi-Channel Vision Transformers.
IEEE Robotics Autom. Lett., 2022

EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers.
CoRR, 2022

On EMG Based Dexterous Robotic Telemanipulation: Assessing Machine Learning Techniques, Feature Extraction Methods, and Shared Control Schemes.
IEEE Access, 2022

Lightmyography Based Decoding of Human Intention Using Temporal Multi-Channel Transformers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Comparing Human and Robot Performance in the Execution of Kitchen Tasks: Evaluating Grasping and Dexterous Manipulation Skills.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2019
Deep Reinforcement Learning Control of an Autonomous Wheeled Robot in a Challenge Task: Combined Visual and Dynamics Sensoring.
Proceedings of the 19th International Conference on Advanced Robotics, 2019


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