Title
Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation
Abstract
We present a framework for identifying, communicating, and addressing risk in shared-autonomy mobile manipulator applications. This framework is centered on the capacity of the mobile manipulator to sense its environment, interpret complex and cluttered scenes, and estimate the probability of actions and configuration states that may result in task failures, such as collision (i.e., identifying "risk"). If the threshold for acceptable risk is exceeded, a remote operator is notified and presented with timely, actionable information in which the person can quickly assess the situation and provide guidance for the robot. This framework is demonstrated with a use case in which a mobile manipulator performs machine tending and material handling tasks.
Year
DOI
Venue
2022
10.1115/1.4054088
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
Keywords
DocType
Volume
human-robot interaction, mobile manipulation, shared autonomy, risk assessment for autonomous systems
Journal
22
Issue
ISSN
Citations 
5
1530-9827
0
PageRank 
References 
Authors
0.34
0
8