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Grant: Engage Grants Program

University of Ontario Institute of Technology

$25,000.00

Dynamic Environment Navigation and Pathplanning for Assistive Robots using Nonlinear Predictive Control

EF 2014-15

Résumé
This research project will provide solutions for specialized path planning and obstacle avoidance for a healthcare motivated mobile assistive robot. The proposed research is in collaboration with Crosswing Inc, who have developed a prototype assistive robot called VirtualME. This robot is designed to serve the elderly population by combining an autonomous monitoring platform with a sophisticated communication system. The goal of the VirtualME project is to help the elderly live more independently in their own surroundings with safety monitoring while simultaneously alleviating the strain of an aging population on the healthcare system. It is geared towards placement in a private home and is meant to interact autonomously with its environment and with a remote supervisor. A critical need for its success is the ability for it to move around an environment with a known structure, but unknown moving obstacles. Furthermore, it is critical that while in motion it can maintain maximal visual contact with the elderly person it is serving or with a specified object in it's environment. In addition, when potentially moving obstacles create a block to a given path, the robot must be capable of autonomously redirecting it's path to accomplish it's tasks. Currently the VirtualME is only capable of motion in a preprogrammed direction with fixed orientation and does not interact autonomously with its environment. The foundation for some predictive control path planning has been incorporated, but interaction with moving obstacles and in the path planning is not available. This research project will develop a nonlinear predictive controller to accomplish the path-planning and obstacle avoidance. This will give the VirtualME the ability to be placed into an environment with moving obstacles in a safe manner. Incorporating these features into the current VirtualME platform would be a major accomplishment, which will address a critical need for the continued development of Crosswing's mobile assistive technology. Deployment of the VirtualME robot for continued development cannot be accomplished until autonomous control in the described environments has been implemented.
Programme
Engage Grants Program
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
464122-2014
Name nom
Milman, Ruth
Department département
Engineering and Applied Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
2509
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Control systems
Research subject fr
Asservissements
Partie
1
Nb partie
1
Application title
Dynamic Environment Navigation and Pathplanning for Assistive Robots using Nonlinear Predictive Control
Keyword
NSERC
Application summary
This research project will provide solutions for specialized path planning and obstacle avoidance for a healthcare motivated mobile assistive robot. The proposed research is in collaboration with Crosswing Inc, who have developed a prototype assistive robot called VirtualME. This robot is designed to serve the elderly population by combining an autonomous monitoring platform with a sophisticated communication system. The goal of the VirtualME project is to help the elderly live more independently in their own surroundings with safety monitoring while simultaneously alleviating the strain of an aging population on the healthcare system. It is geared towards placement in a private home and is meant to interact autonomously with its environment and with a remote supervisor. A critical need for its success is the ability for it to move around an environment with a known structure, but unknown moving obstacles. Furthermore, it is critical that while in motion it can maintain maximal visual contact with the elderly person it is serving or with a specified object in it's environment. In addition, when potentially moving obstacles create a block to a given path, the robot must be capable of autonomously redirecting it's path to accomplish it's tasks. Currently the VirtualME is only capable of motion in a preprogrammed direction with fixed orientation and does not interact autonomously with its environment. The foundation for some predictive control path planning has been incorporated, but interaction with moving obstacles and in the path planning is not available. This research project will develop a nonlinear predictive controller to accomplish the path-planning and obstacle avoidance. This will give the VirtualME the ability to be placed into an environment with moving obstacles in a safe manner. Incorporating these features into the current VirtualME platform would be a major accomplishment, which will address a critical need for the continued development of Crosswing's mobile assistive technology. Deployment of the VirtualME robot for continued development cannot be accomplished until autonomous control in the described environments has been implemented.