Use this URL to cite or link to this record in EThOS:
Title: Perception and orientation issues in human control of robot motion
Author: Gray Cobb, Susan Valerie
ISNI:       0000 0001 2425 7829
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 1991
Availability of Full Text:
Access from EThOS:
Access from Institution:
The use of remote teach controls for programming industrial robots has led to concern over programmer safety and reliability. The primary issue is the close proximity to the robot arm required for the programmer or maintainer to clearly see the tool actions, and it is feared that errors in robot control could result in injury. The further concern that variations in teach control design could cause "negative transfer" of learning has led to a call for standardisation of robot teach controls. However,at present there is insufficient data to provide suitable design recommendations. This is because previous researchers have measured control performance on very general, and completely different, programming tasks. This work set out to examine the motion control task, from which a framework was developed to represent the robot motion control process. This showed the decisions and actions required to achieve robot movement, together with the factors which may influence them. Two types of influencing factors were identified: robot system factors and human cognitive factors. Robot system factors add complexity to the control task by producing motion reversals which alter the control-robot motion relationship. These motion reversals were identified during the experimental programme which examined observers' perception of robot motion under different conditions of human-robot orientation and robot arm configuration. These determine the orientation of the robot with respect to the observer at any given time. It was found that changes in orientation may influence the observer's perception of robot movement producing inconsistent descriptions of the same movement viewed under different orientations. Furthermore, due to the strong association between perceived movement and control selection demonstrated n these experiments, no particular differences in error performance using different control designs were observed. It is concluded that human cognitive factors, specifically the operators' perception of robot movement and their ability to recognise motion reversals, have greater influence on control selection errors than control design per se.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: TJ Mechanical engineering and machinery