The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 21, 2025
Filed:
Dec. 04, 2019
Apparatus, method and article to facilitate motion planning in an environment having dynamic objects
Duke University, Durham, NC (US);
Brown University, Providence, RI (US);
Daniel Sorin, Durham, NC (US);
William Floyd-Jones, Durham, NC (US);
Sean Murray, Durham, NC (US);
George Konidaris, Providence, RI (US);
William Walker, Durham, NC (US);
DUKE UNIVERSITY, Durham, NC (US);
BROWN UNIVERSITY, Providence, RI (US);
Abstract
A motion planner of a computer system of a primary agent, e.g., an autonomous vehicle, uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the primary agent prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the primary agent, the system sets a probability of collision with another agent, e.g., a dynamic object, in the environment based at least in part on the collision assessment. Depending on whether the goal of the primary agent is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively low or relatively high potential of a collision with the particular dynamic object. The system then causes the actuator system of the primary agent to implement a motion plan with the applicable identified path based at least in part on the optimization.