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Application of a Generalized Regressive Motion algorithm to mobile , vision-based robots

We explored the viability of Generalized Regressive Motion (GRM) algorithms in the context of mobile robotic navigation. Initially, an extension to the basic GRM algorithm was explored to enable the application of GRM to a vision-based robotic system. A prototype vehicular testing platform was constructed to evaluate the performance of our algorithm. We found that a GRM algorithm onboard a mobile robot is an extremely low-cost and viable means of real-time collision avoidance.