Student Work

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.

Creator

• Harrison, Naomi T.
• Roy, Justine A.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-050620-144238

Advisor

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

Year

• 2020

Date created

• 2020-05-06

Resource type

• Major Qualifying Project

Major

• Robotics Engineering

Rights statement

• In Copyright

License

• All rights reserved

Relationships

In Collection:

• Major Qualifying Projects

Items

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	IROS2020__Camera_Autonomy_in_Supervisory_Control.pdf	2020-08-22	Public	Press to Select an action Download