University of Massachusetts

Nissan North America, Inc.

Renault S.a.s.

Connor Basich

Stefan Witwicki

Kyle Hollins Wray

Shlomo Zilberstein

A first method includes detecting, based on sensor data, an environment state; selecting an action based on the environment state; determining an autonomy level associated with the environment state and the action; and performing the action according to the autonomy level. The autonomy level can be selected based at least on an autonomy model and a feedback model. A second method includes calculating, by solving an extended Stochastic Shortest Path (SSP) problem, a policy for solving a task. The policy can map environment states and autonomy levels to actions and autonomy levels. Calculating the policy can include generating plans that operate across multiple levels of autonomy.

Growing community of inventors

Northampton, MA, United States of America

Connor Basich