REAL-TIME TARGET TRACKING OF AN UNPREDICTABLE TARGET AMID UNKNOWN OBSTACLES

Patent №

US 6,917,855

Granted

2005-07-12

Filed 2003

Owner

BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY, THE

+1 more

AI components

3

vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10435934

Embodiments provide a strategy for computing the motions of a mobile robot operating in an obstacle-laden environment without requiring prior knowledge of the distribution of obstacles in the environment or knowing the trajectory of a target tracked by the robot. Embodiments provide an algorithm that governs the motion of the observer robot based on measurements of the target's position and the location of obstacles in the environment. The algorithm computes a description of the geometric arrangement between the target and the observer's visibility region produced by the obstacles and computes a continuous control rule using this description. Embodiments employ an escape-path tree data structure to categorize the target's possible modes of escaping from the observer robot's sensors and use the escape-path tree to determine the target's shortest escape path.

VisionKnowledge representationPlanningG05D 1/0094G05D 1/12G05D 1/0274G05D 1/0217G05D 1/024G05D 1/0246G05D 1/0272

AI classification

Planning0.99
Knowledge representation0.98
Vision0.83
AI hardware0.16
Machine learning0.05
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY, THE

assignment · 153010226

HONDA MOTOR CO., LTD.

assignment · 153260889

Assignors

LATOMBE, JEAN-CLAUDE

On an employer assignment, the assignors are typically the inventors.

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