Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Enhancing the Flexibility and the Quality of Service of Autonomous Mobile Robotic Applications
ECRTS '02 Proceedings of the 14th Euromicro Conference on Real-Time Systems
Real-Time Support for Mobile Robotics
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Feedback-based Real-time Scheduling in Autonomous Vehicle Systems
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
A Real-Time Model for the Robotic Highway Safety Marker System
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
A Performance and Schedulability Analysis of an Autonomous Mobile Robot
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
Dynamic Speed and Sensor Rate Adjustment for Mobile Robotic Systems
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
Dynamic processing windows for mobile robotic real-time systems
Dynamic processing windows for mobile robotic real-time systems
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Mobile robotic systems must sense constraints imposed by a dynamically changing environment and predictably react to those changes in real-time. Complexity arises in mobile robotic systems because the computing platform travels through the environment with which the system is interacting. These systems have spatio-temporal requirements in the sense that correct behavior is defined in terms of both space and time. The focus of this paper is mobile robotic platforms that must sense their environment and avoid obstacles as they navigate from one point to another. We present a design and analysis methodology for these platforms that integrates spatio-temporal attributes with fixed priority real-time scheduling through the use of zone and processing window abstractions.