S
Sidney N. Givigi
Researcher at Queen's University
Publications - 165
Citations - 1528
Sidney N. Givigi is an academic researcher from Queen's University. The author has contributed to research in topics: Model predictive control & Robot. The author has an hindex of 16, co-authored 137 publications receiving 1122 citations. Previous affiliations of Sidney N. Givigi include Carleton University & Royal Military College of Canada.
Papers
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Journal ArticleDOI
A Q-Learning Approach to Flocking With UAVs in a Stochastic Environment
Shao-Ming Hung,Sidney N. Givigi +1 more
TL;DR: Simulation results demonstrate the feasibility of the proposed learning approach at enabling agents to learn how to flock in a leader-follower topology, while operating in a nonstationary stochastic environment.
Journal ArticleDOI
Automatic Crack Detection and Measurement Based on Image Analysis
TL;DR: A system based on machine vision concepts has been developed with the goal to automate the crack measurement process using only a single camera installed in a truck or even in a robot, and the crack dimensions are estimated.
Journal ArticleDOI
Solving Multi-UAV Dynamic Encirclement via Model Predictive Control
Ahmed T. Hafez,Anthony J. Marasco,Sidney N. Givigi,Mohamad Iskandarani,Shahram Yousefi,Camille Alain Rabbath +5 more
TL;DR: Model predictive control (MPC) is used to model and implement controllers for the problem of dynamic encirclement of a team of UAVs in real time and the application of theoretical stability analysis to the problem.
Journal ArticleDOI
Vision-Based Measurement for Localization of Objects in 3-D for Robotic Applications
TL;DR: A methodology to estimate the localization of objects in 3-D scenes using collaborative robots using stereo vision to measure the location of objects using only a single camera installed on each one of them is presented.
Proceedings ArticleDOI
Model Predictive Control for the dynamic encirclement of a target
TL;DR: The problem of creating a dynamic circular formation around a target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated and it is shown through simulation results that the derived MPC policy is effective.