Supervisory control of a humanoid robot in a manipulation task requires coordination of remote perception with robot action, which becomes more demanding with multiple moving cameras available for task supervision. We explore the use of autonomous camera control and selection to reduce operator workload and improve task performance in a supervisory control task. We design a novel approach to autonomous camera selection and control, and evaluate the approach in a user study which revealed that autonomous camera control does improve task performance and operator experience, but autonomous camera selection requires further investigation to benefit the operator’s confidence and maintain trust in the robot autonomy.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Manohar, Ajay
• Navarro, Brandon Manuel
• Schweich, Thomas Arthur
• Baez, Hannah R.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032020-223705

Advisor

• Pinciroli, Carlo
• Li, Zhi
• Mughal, Maqsood Ali

Year

• 2020

Date created

• 2020-03-20

Resource type

• Major Qualifying Project

Major

• Computer Science
• Electrical & Computer Engineering
• Robotics Engineering

Rights statement

• In Copyright