TY - GEN
T1 - Meet HanS, the Health&Safety autonomous inspector
AU - Bastianelli, Emanuele
AU - Bardaro, Gianluca
AU - Tiddi, Ilaria
AU - Motta, Enrico
PY - 2018
Y1 - 2018
N2 - We present here one of the demonstrators we implemented as part of our research on the integration of robots in smart cities, where an autonomous mobile platform is employed for monitoring and assessing the Health&Safety rules in a smart office environment in combination with a centralised infrastructure for data integration, processing and reasoning. Monitoring of the status of infrastructures and environments still presents a number of challenges in terms of knowledge acquisition and representation, as data need to constantly be re-evaluated due to their high dynamism. Common solutions, ranging from human monitoring to sensor deployment, fail in flexibility, costs and, in the case of large scale scenarios, scalability. We focus on the idea that autonomous mobile agents can be used as moving sensors deployed by a larger, knowledge-based infrastructure, where the central unit collects and reasons over the information produced by the agents. In particular, the paper presents HanS, the Health&Safety inspector, with the goal of showing that applications integrating robots as data consumers and collectors can be deployed thanks to a combination of state-of-the-art semantic and robotics technologies.
AB - We present here one of the demonstrators we implemented as part of our research on the integration of robots in smart cities, where an autonomous mobile platform is employed for monitoring and assessing the Health&Safety rules in a smart office environment in combination with a centralised infrastructure for data integration, processing and reasoning. Monitoring of the status of infrastructures and environments still presents a number of challenges in terms of knowledge acquisition and representation, as data need to constantly be re-evaluated due to their high dynamism. Common solutions, ranging from human monitoring to sensor deployment, fail in flexibility, costs and, in the case of large scale scenarios, scalability. We focus on the idea that autonomous mobile agents can be used as moving sensors deployed by a larger, knowledge-based infrastructure, where the central unit collects and reasons over the information produced by the agents. In particular, the paper presents HanS, the Health&Safety inspector, with the goal of showing that applications integrating robots as data consumers and collectors can be deployed thanks to a combination of state-of-the-art semantic and robotics technologies.
KW - Knowledge Acquisition
KW - Mobile Sensors
KW - Robots
UR - http://www.scopus.com/inward/record.url?scp=85055329127&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055329127&partnerID=8YFLogxK
UR - http://ceur-ws.org/Vol-2180/
M3 - Conference contribution
AN - SCOPUS:85055329127
T3 - CEUR Workshop Proceedings
SP - 1
EP - 4
BT - ISWC-P&D-Industry-BlueSky 2018 - ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks
A2 - van Erp, Marieke
A2 - Atre, Medha
A2 - Lopez, Vanessa
A2 - Srinivas, Kavitha
A2 - Fortuna, Carolina
PB - CEUR-WS.org
T2 - 2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018
Y2 - 8 October 2018 through 12 October 2018
ER -