13 citations · 32 across the 6 of their papers we have counts for
6 papers
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Hendrik Scheidel, Camilo Gonzalez, Houshyar Asadi +4
In motion simulation, motion cueing algorithms are used for the trajectory planning of the motion simulator platform, where workspace limitations prevent direct reproduction of ref…
A Review on Robot Manipulation Methods in Human-Robot Interactions
Haoxu Zhang, Parham M. Kebria, Shady Mohamed +2
Robot manipulation is an important part of human-robot interaction technology. However, traditional pre-programmed methods can only accomplish simple and repetitive tasks. To enabl…
Uncertainty Aware Neural Network from Similarity and Sensitivity
H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8
Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation
Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann +3
Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as po…
A Comprehensive Review on Autonomous Navigation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi +4
The field of autonomous mobile robots has undergone dramatic advancements over the past decades. Despite achieving important milestones, several challenges are yet to be addressed.…
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal +8
This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in imag…