Title
Model-based vision and intelligent task scheduling for autonomous human-type robot arm
Abstract
This paper describes the concepts and methodologies for model-based vision and intelligent task scheduling for an autonomous human-type robot arm system. The vision and task scheduling method is based on Cognitive Psychology, i.e., a human's way of vision and scheduling is applied. The robot arm which characterizes our approach is similar to a human arm in shape, mechanism, and functions, and has local intelligence for manipulations with 178 tactile sensors. The vision system receives stereo images through two CCD cameras and creates a world model as a mental image of the scene. The intelligent task scheduling system sets a task goal according to a user's request and generates a sequence of tasks to achieve the goal based on the world model.
Year
DOI
Venue
1996
10.1016/0921-8890(95)00077-1
ROBOTICS AND AUTONOMOUS SYSTEMS
Keywords
Field
DocType
autonomous robot,human-type robot arm,knowledge-based system,intelligent task scheduling,model-based vision
Computer vision,Robotic arm,Machine vision,Simulation,Scheduling (computing),Computer science,Mental image,Autonomous system (mathematics),Artificial intelligence,Knowledge base,Robotics,Tactile sensor
Journal
Volume
Issue
ISSN
18
1-2
0921-8890
Citations 
PageRank 
References 
3
0.40
1
Authors
2
Name
Order
Citations
PageRank
Haruki Ueno112918.02
Yukio Saito230.40