7 citations · 9 across the 6 of their papers we have counts for
6 papers
Topological mapping for traversability-aware long-range navigation in off-road terrain
Jean-François Tremblay, Julie Alhosh, Louis Petit +3
Autonomous robots navigating in off-road terrain like forests open new opportunities for automation. While off-road navigation has been studied, existing work often relies on clear…
Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs
Faraz Lotfi, Farnoosh Faraji, Nikhil Kakodkar +3
This paper explores leveraging large language models for map-free off-road navigation using generative AI, reducing the need for traditional data collection and annotation. We prop…
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
Faraz Lotfi, Khalil Virji, Nicholas Dudek +1
In this paper, we present an exploration and assessment of employing a centralized deep Q-network (DQN) controller as a substitute for the prevalent use of PID controllers in the c…
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model
Faraz Lotfi, Khalil Virji, Farnoosh Faraji +4
In this paper, we investigate a hybrid scheme that combines nonlinear model predictive control (MPC) and model-based reinforcement learning (RL) for navigation planning of an auton…
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
Farnoosh Faraji, Faraz Lotfi, Javad Khorramdel +2
Driver drowsiness detection has been the subject of many researches in the past few decades and various methods have been developed to detect it. In this study, as an image-based a…
Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network
Faraz Lotfi, Hamid D. Taghirad
Object tracking becomes critical especially when similar objects are present in the same area. Recent state-of-the-art (SOTA) approaches are proposed based on taking a matching net…