Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 4029-4036

  Ostafew, Chris J ^a   Schoellig, Angela P ^a   Barfoot, Timothy D ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ERRORS; MOBILE ROBOTS; MODEL PREDICTIVE CONTROL; NAVIGATION SYSTEMS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; VEHICLES;

AUTONOMOUS MOBILE ROBOT; DISTURBANCE MODELING; GAUSSIAN PROCESS; LOCALIZATION RELIABILITIES; NONLINEAR MODEL PREDICTIVE CONTROL; OUTDOOR ENVIRONMENT; UNMODELLED DYNAMICS; VISION-BASED MOBILE ROBOTS;

VISUAL SERVOING;

EID: 84929223741     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907444     Document Type: Conference Paper

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