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Ricardo V. Godoy

7 accepted papers

2023

An Affordances and Electromyography Based Telemanipulation Framework for Control of Robotic Arm-Hand Systems

IROS 2023poster

Over the last decades, significant research effort has been put into creating Electromyography (EMG) based controllers for intuitive, hands-free control of robotic arms and hands. To achieve this, machine learning models have been employed to decode human motion and intention using EMG signals as in…

Cited by 7SourceScholar
2023

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

IROS 2023poster

Soft robotic devices have been popular in handling intricate grasping and dexterous manipulation tasks, serving as an alternative to conventional, rigid end-effectors. These devices are relatively simple, lightweight, and cost-effective. Recently, kirigami based structures have been used to create l…

Cited by 1SourceScholar
2023

On Human Grasping and Manipulation in Kitchens: Automated Annotation, Insights, and Metrics for Effective Data Collection

ICRA 2023poster

The advancement in robotic grasping and manipulation has elicited an increased research interest in the development of household robots capable of performing a plethora of complex tasks. These advancements require the shift of robotics research from a laboratory setting to dynamic and unstructured h…

Cited by 6SourceScholar
2023

On Semi-Autonomous Robotic Telemanipulation Employing Electromyography Based Motion Decoding and Potential Fields

IROS 2023poster

Telemanipulation is widely used in robotics applications, ranging from maintenance of various industrial systems to search and rescue response in remote and/or hazardous environments. Human operators are often responsible for the control of such robotic systems. However, these remote interactions re…

Cited by 4SourceScholar
2023

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

IROS 2023poster

The advent of collaborative industrial and house-hold robotics has blurred the demarcation between the human and robot workspace. The capability of robots to function efficiently alongside humans requires new research to be conducted in dynamic environments as opposed to the traditional well-structu…

Cited by 6SourceScholar
2022

Electromyography-Based, Robust Hand Motion Classification Employing Temporal Multi-Channel Vision Transformers

RA-L 2022

With an increasing use of robotic and bionic devices for the execution of everyday life, complex tasks, Electromyography (EMG) based interfaces are being explored as candidate technologies for facilitating an intuitive interaction with such devices. However, EMG-based interfaces typically require ap

Cited by 30SourceScholar
2022

Lightmyography Based Decoding of Human Intention Using Temporal Multi-Channel Transformers

IROS 2022poster

For the development of muscle-machine interfaces (MuMIs), researchers have relied mainly on Electromyography (EMG) signals. However, these signals require complex hardware systems, as well as specialized signal processing and feature extraction methods. To overcome these issues, in our previous work…

Cited by 2SourceScholar