60 citations
- McGill UniversityCA5 papers
- Nantes UniversitéFR4 papers
- Chinese Academy of SciencesCN3 papers
- Georgia Institute of TechnologyUS3 papers
- University of SfaxTN3 papers
- Institute of Cognitive and Brain SciencesUS2 papers
- Institute of Intelligent MachinesCN2 papers
- Johns Hopkins UniversityUS2 papers
- McGovern Institute for Brain ResearchUS2 papers
- Technological University DublinIE2 papers
- Boston CollegeUS1 paper
- Brain (Germany)DE1 paper
8 papers · 1 filter
Online Center of Mass Estimation for a Humanoid Wheeled Inverted Pendulum Robot
Munzir Zafar, Akash Patel, Bogdan Vlahov +3
We present a novel application of robust control and online learning for the balancing of a n Degree of Freedom (DoF), Wheeled Inverted Pendulum (WIP) humanoid robot. Our technique…
A Class of Hybrid LQG Mean Field Games with State-Invariant Switching and Stopping Strategies
Dena Firoozi, Ali Pakniyat, Peter E. Caines
A novel framework is presented that combines Mean Field Game (MFG) theory and Hybrid Optimal Control (HOC) theory to obtain a unique -Nash equilibrium for a non-cooperative game…
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments
Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh +2
Learning from Demonstration (LfD) is a popular approach to endowing robots with skills without having to program them by hand. Typically, LfD relies on human demonstrations in clut…
Drowsy Driver Detection by EEG Analysis Using Fast Fourier Transform
Mejdi Ben Dkhil, Ali Wali, Adel M. Alimi
In this paper, we try to analyze drowsiness which is a major factor in many traffic accidents due to the clear decline in the attention and recognition of danger drivers. The objec…
A new approach for a safe car assistance system
Mejdi Ben Dkhil, Mohamed Neji, Ali Wali +1
Drowsiness, which is the state when drivers do not have scheduled breaks while traveling long distances, is the main reason behind serious motorway accidents. Accordingly, experts…
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
Yaxiang Fan, Gongjian Wen, Deren Li +2
We present a novel end-to-end partially supervised deep learning approach for video anomaly detection and localization using only normal samples. The insight that motivates this st…