Application (pre-grant publication)
SYSTEM FOR COMMUNICATING AND USING TRAFFIC ANALYSIS IN A SPACE WITH MOVING OBSTACLES
- Number
- 20200276710
- Published
- 2020-09-03
- Filed
- 2020-05-11
- Assignee
- DISNEY ENTERPRISES, INC.
- Inventors
- Hager, IV; Joseph George, Honeck; Michael R., Mika; Jeremy Andrew
- CPC
- G01C21/3833; B25J9/1664; B25J9/1676; G01C21/20; G01C21/3807; G05D1/0219; G06T17/05
- Verdict
- High Hardware
- Source
- Google Patents · FreePatentsOnline
The keeper's note
Robot navigation traffic analysis among crowds/moving obstacles (pre-grant).
Abstract
A system for improving navigation of robots in a space with a plurality of pedestrians or other movable objects or obstacles. The system includes a traffic analysis assembly that has a traffic sensor(s) sensing movement of the obstacles in the space. The traffic analysis assembly further includes a processor running a flow module that processes (such as the Gunnar-Farneback optical flow algorithm) output from the traffic sensor to generate traffic analysis results, which include density values for the obstacles in the space and motion information for the obstacles in the space (e.g., speed and direction). The system includes a robot with a controller running a navigation module selecting a navigation route between a current location of the robot and a target location in the space using the traffic analysis result. The workspace is configured such that the obstacles such as pedestrians have unregulated flow patterns in the space.
Background
BACKGROUND1. Field of the Description
The present invention relates, in general, to methods and systems for controlling a robot (such as a service or entertainment robot) for safe and efficient navigation in spaces (or “workspaces”) with one to many people, either walking or operating bicycles, wheelchairs, mobility scooters, skates, Segway or similar vehicles, and the like (all may be referred to as “obstacles” or “moving objects” or the like), and more particularly, to a robot controller (or assembly for controlling a robot) that is adapted, when navigating a robot through a crowded workspace, to provide efficient control (e.g., the quickest path) in the context of pedestrian traffic in the workspace including choosing between one or more end points/choices (e.g., a targeted second location from a current or first location (or “origin”) of the robot) and/or one or more paths to a chosen end point (or “target” or “goal”).2. Relevant Background
Today, robots are widely used in a wide variety of environments including public environments where the robots may need to interact with or at least safely navigate in the presence of people. Human behavior is complex, which makes it difficult to accurately predict what any particular person will do in the future. This is a primary challenge or difficulty in planning robot interactions with people and for navigating a robot through a space (or workspace) that may include a few people or may even be very crowded with people.
Claims
Claims truncated at the source; see the full document.