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Classification of Reaction Time in Simulated Multiple Robot Tele-Exploration
In the teleoperated scenario, as the task difficulty increases, the performance of the operator decreases which leads to a decrease in the overall system efficiency. Thus…
Jul 22, 2024
Hemanth Manjunatha
Extracting Interpretable EEG Features from a Deep Learning Model to Assess the Quality of Human-Robot Co-manipulation
There is an increasing interest in adapting the deep learning models into neuroimaging techniques such as electroencephalogram (EEG). However, one of the fundamental…
Jul 22, 2024
Hemanth Manjunatha
SHASTA A Simulator for Human and Swarm Team Applications
Human-Swarm Teams uniquely combine the ability of swarms and cognition of humans to achieve complex behaviors. There is a need for a human-in-the-loop simulation framework…
Jul 22, 2024
Hemanth Manjunatha
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
This paper presents the selective use of eye-gaze information in learning human actions in Atari games. Extensive evidence suggests that our eye movements convey a wealth of…
Jul 22, 2024
Hemanth Manjunatha
Task Difficulty Prediction in Physical Human Interaction using EEG and Deep Learning
An experiment was conducted in which the subjects have to guide an robot under admittance control through a predefined trajectory. The damping in the admittance control was…
Jul 22, 2024
Hemanth Manjunatha
Transfer Learning of Motor Difficulty Classification in Physical Human-Robot Interaction Using Electromyography
Efficient human-robot collaboration during physical interaction requires estimating the human state for optimal role allocation and load sharing. Machine learning (ML)…
Jul 22, 2024
Hemanth Manjunatha
Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams
Human-Swarm interaction has attracted a lot of attention for their applications in areas such as exploration, rescue, surveillance, and interplanetary exploration. When…
Jul 22, 2024
Hemanth Manjunatha
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