COLLISION DETECTION SYSTEM, COLLISION DETECTION DATA GENERATOR, AND ROBOT

• US 20140025203A1
• Filed: 06/19/2013
• Published: 01/23/2014
• Est. Priority Date: 07/20/2012
• Status: Abandoned Application

• Current Assignee: Seiko Epson Corporation (Seiko Group)
• Original Assignee: Seiko Epson Corporation (Seiko Group)
• Inventors: Inazumi, Mitsuhiro
• Application Number:
  US13/921,437
• Publication Number:
  US 20140025203A1
• Time in Patent Office: Days
• US Class Current: 700/255
• CPC Class Codes: B25J 9/1666 Avoiding collision or forbidden zones
• CPC Class Codes: G05B 2219/39085 Use of two dimensional maps and feedback of external and joint sensors
• CPC Class Codes: G05B 2219/39095 Use neural geometric modeler, overlapping spheres

Abstract

A collision detection system includes a memory unit that stores first collision detection data corresponding to a first object and second collision detection data corresponding to a second object as collision detection data of objects, and a processing unit that performs a collision determination between the first object and the second object in the world coordinate system based on the first collision detection data and the second collision detection data. The memory unit stores representative point data obtained by discretization of depth map data of the objects as seen from a predetermined viewpoint in model coordinate systems of the objects using cubic areas set in the model coordinate systems as the collision detection data.

Claims

1. A collision detection system comprising:

a memory unit that stores first collision detection data corresponding to a first object and second collision detection data corresponding to a second object as collision detection data of the objects; and

a processing unit that performs a collision determination between the first object and the second object in the world coordinate system based on the first collision detection data and the second collision detection data,

wherein the memory unit stores representative point data obtained by discretization of depth map data of the objects as seen from a predetermined viewpoint in model coordinate systems of the objects using cubic areas set in the model coordinate systems as the collision detection data.

2. The collision detection system according to claim 1, wherein the memory unit stores the representative point data of bounding boxes including the objects and divisional representative point data as the representative point data obtained by discretization of the depth map data using cubic areas formed by division of the bounding boxes as the collision detection data, and

if determining a collision between the first bounding box including the first object and the second bounding box including the second object, the processing unit performs the collision determination between the first object and the second object based on the divisional representative point data of the first object and the divisional representative point data of the second object.

3. The collision detection system according to claim 1, wherein the memory unit stores data having a tree structure as the collision detection data, and

the data having the tree structure has the representative point data corresponding to a plurality of cubic areas formed by division of a cubic area of a parent node as the representative point data of child nodes branching from the parent node.

4. The collision detection system according to claim 3, wherein the plurality of cubic areas of the child nodes formed by division of the cubic area of the parent node are 2×

2×

2 cubic areas obtained by division of the cubic area of the parent node as seen from the predetermined viewpoint into 2×

2 areas and division of the respective areas of the 2×

2 areas into two in a depth direction of the predetermined viewpoint,

the data having the tree structure is data having a quadtree structure in which the child nodes are set in correspondence with the respective areas of the 2×

2 areas as seen from the predetermined viewpoint, and

the data of the child nodes in the quadtree structure is the representative point data existing in at least one of the two cubic areas in the depth direction in the respective areas of the 2×

2 areas.

5. The collision detection system according to claim 3, wherein, if the parent node determined to collide exists in the collision determination based on the data of the parent node, the processing unit performs the collision determination based on the data of the child nodes branching from the parent node determined to collide, and

if the parent node determined to collide does not exist in the collision determination based on the data of the parent node, the processing unit definitively determines non-collision between the first object and the second object.

6. The collision detection system according to claim 1, wherein the depth map data is depth map data generated by three-dimensional information measurement equipment that measures three-dimensional information of the objects.

7. A collision detection data generator comprising:

a depth map data acquisition unit that acquires depth map data of an object as seen from a predetermined viewpoint in a model coordinate system of the object; and

a collision detection data generation unit that generates representative point data in the model coordinate system of the object as collision detection data,

wherein the collision detection data generation unit generates the representative point data by discretization of the depth map data using cubic areas set in the model coordinate system of the object.

8. The collision detection data generator according to claim 7, wherein the collision detection data generation unit generates data having a tree structure as the collision detection data by connecting nodes corresponding to a plurality of cubic areas formed by division of a cubic area of a parent node as child nodes to the parent node.

9. The collision detection data generator according to claim 8, wherein the plurality of cubic areas of the child nodes formed by division of the cubic area of the parent node are 2×

2×

2 cubic areas obtained by division of the cubic area of the parent node as seen from the predetermined viewpoint into 2×

2 areas and division of the respective areas of the 2×

2 areas into two areas in a depth direction of the predetermined viewpoint,

the collision detection data generation unit generates data having a quadtree structure in which the child nodes are set in correspondence with the respective areas of the 2×

2 areas as seen from the predetermined viewpoint as the data having the tree structure, and

the data of the child nodes in the data having the quadtree structure is the representative point data existing in at least one of the two cubic areas in the depth direction in the respective areas of the 2×

2 areas.

10. The collision detection data generator according to claim 7, wherein, if judging that there is a cubic area without the representative point data between the representative point as a target of processing and representative points existing outside of the surrounding 26 adjacent cubic areas of the representative point as the target of processing, the collision detection data generation unit complements the cubic area without the representative point data with the representative point data.

11. The collision detection data generator according to claim 10, wherein, when a depth value is larger as farther in the depth direction of the predetermined viewpoint, if determining that a difference value obtained by subtraction of a representative depth value of the representative points existing around the representative point as the target of processing from a representative depth value of the representative point as the target of processing is negative, the collision detection data generation unit complements the cubic area at the depth direction side with respect to the representative point as the target of processing with the representative point data.

12. The collision detection data generator according to claim 7, wherein the depth map data is depth map data generated by three-dimensional information measurement equipment that measures three-dimensional information of the object.

13. A robot comprising:

a movable unit;

a memory unit that stores first collision detection data corresponding to a first object and second collision detection data corresponding to a second object as collision detection data of the objects;

a processing unit that performs a collision determination between the first object and the second object in the world coordinate system based on the first collision detection data and the second collision detection data; and

a control unit that controls a movement of the movable unit based on a result of the collision determination performed by the processing unit,

wherein the memory unit stores representative point data obtained by discretization of depth map data of the objects as seen from a predetermined viewpoint in model coordinate systems of the objects using cubic areas set in the model coordinate systems as the collision detection data.