TY - CHAP
T1 - SPENCER: A socially aware service robot for passenger guidance and help in busy airports
AU - Triebel, Rudolph
AU - Arras, Kai O.
AU - Alami, Rachid
AU - Beyer, Lucas
AU - Breuers, Stefan
AU - Chatila, Raja
AU - Chetouani, Mohamed
AU - Cremers, Daniel
AU - Evers, Vanessa
AU - Fiore, Michelangelo
AU - Ramírez, Omar A. Islas
AU - Joosse, Michiel
AU - Khambhaita, Harmish
AU - Kucner, Tomasz
AU - Leibe, Bastian
AU - Lilienthal, Achim J.
AU - Linder, Timm
AU - Lohse, Manja
AU - Magnusson, Martin
AU - Okal, Billy
AU - Palmieri, Luigi
AU - Rafi, Umer
AU - van Rooij, Marieke
AU - Hung, Hayley
AU - Zhang, Lu
PY - 2016/3
Y1 - 2016/3
N2 - We present an ample description of a socially compliant mobile robotic platform, which is developed in the EU-funded project SPENCER. The purpose of this robot is to assist, inform and guide passengers in large and busy airports. One particular aim is to bring travellers of connecting flights conveniently and efficiently from their arrival gate to the passport control. The uniqueness of the project stems from the strong demand of service robots for this application with a large potential impact for the aviation industry on one side, and on the other side from the scientific advancements in social robotics, brought forward and achieved in SPENCER. The main contributions of SPENCER are novel methods to perceive, learn, and model human social behavior and to use this knowledge to plan appropriate actions in real-time for mobile platforms. In this paper, we describe how the project advances the fields of detection and tracking of individuals and groups, recognition of human social relations and activities, normative human behavior learning, socially-aware task and motion planning, learning socially annotated maps, and conducting empirical experiments to assess socio-psychological effects of normative robot behaviors.
AB - We present an ample description of a socially compliant mobile robotic platform, which is developed in the EU-funded project SPENCER. The purpose of this robot is to assist, inform and guide passengers in large and busy airports. One particular aim is to bring travellers of connecting flights conveniently and efficiently from their arrival gate to the passport control. The uniqueness of the project stems from the strong demand of service robots for this application with a large potential impact for the aviation industry on one side, and on the other side from the scientific advancements in social robotics, brought forward and achieved in SPENCER. The main contributions of SPENCER are novel methods to perceive, learn, and model human social behavior and to use this knowledge to plan appropriate actions in real-time for mobile platforms. In this paper, we describe how the project advances the fields of detection and tracking of individuals and groups, recognition of human social relations and activities, normative human behavior learning, socially-aware task and motion planning, learning socially annotated maps, and conducting empirical experiments to assess socio-psychological effects of normative robot behaviors.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84961262357&partnerID=MN8TOARS
U2 - 10.1007/978-3-319-27702-8_40
DO - 10.1007/978-3-319-27702-8_40
M3 - Chapter
SN - 978-3-319-27700-4
T3 - Springer Tracts in Advanced Robotics
SP - 607
EP - 622
BT - Field and Service Robotics
A2 - Wettergreen, David S.
A2 - Barfoot, Timothy D.
PB - Springer
ER -