Semantic enhanced navigation among movable obstacles in the home environment
Sun, Nico and Yang, Erfu and Corney, Jonathan and Chen, Yi and Ma, Zeli (2019) Semantic enhanced navigation among movable obstacles in the home environment. In: UK-RAS19 Conference, 2019-01-24 - 2019-01-24, Loughborough University.
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Abstract
An autonomous household robot has to be able to navigate through a variable environment and perform commonhousehold tasks. Additionally, in cluttered and narrow homes movement can become impossible unless obstacles are moved out of the way. Both challenges involve the manipulation of objects and a planning algorithm that can integrate the function of regions and objects to avoid the creation of new safety hazards during robot movement. We present a semantic detection method during path planning using a gridded semantic map to improve navigation among movable obstacles (NAMO) and support for simple household sub-tasks like cleaning a table and moving obstructing objects to another location. In our tests, the spatial planning was completed well within human reaction time, which is important for a natural interaction between a human and a robot.
ORCID iDs
Sun, Nico, Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950, Corney, Jonathan ORCID: https://orcid.org/0000-0003-1210-3827, Chen, Yi and Ma, Zeli;-
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Item type: Conference or Workshop Item(Poster) ID code: 68556 Dates: DateEvent24 January 2019Published16 January 2019AcceptedSubjects: Technology Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 20 Jun 2019 15:24 Last modified: 11 Nov 2024 16:58 URI: https://strathprints.strath.ac.uk/id/eprint/68556