RPS-TSM: A robot perception system based on temporal semantic map

  • Haoyue Wang
  • , Yangyang Zhang
  • , Jianxin Li*
  • , Richong Zhang
  • , Md Zakirul Alam Bhuiyan
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Perception ability is important for robots to gain intelligence. From basic sensor data collection to environmental geometry construction, or further semantic information extraction, perception ability gets promoted with a better understanding of data. This paper proposed Temporal Semantic Map (TSM), which adds a temporal dimension on traditional semantic map. Robots can not only perceive the information of the current environment, but also understand the normal state and have a memory of the environment. We have built a Robot Perception System (RPS) which can construct the TSM, automatically infer the normal status of environment using TSM, detect environmental changes and possible anomalies without any hard-coded/human-written rules. We implement RPS on top of the well-known robot operating system (ROS) and evaluate it with a robot inspector application in real scenarios.

Original languageEnglish
Title of host publicationSecurity, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2017 International Workshops, Proceedings
EditorsGuojun Wang, Zheng Yan, Kim-Kwang Raymond Choo, Mohammed Atiquzzaman
PublisherSpringer Verlag
Pages524-533
Number of pages10
ISBN (Print)9783319723945
DOIs
StatePublished - 2017
Event10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017 - Guangzhou, China
Duration: 12 Dec 201715 Dec 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10658 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017
Country/TerritoryChina
CityGuangzhou
Period12/12/1715/12/17

Keywords

  • Anomaly detection
  • Intelligent robot
  • Perception system
  • Semantic mapping
  • Sensor processing

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