RoCKIn@Home: Domestic Robots Challenge

Service robots performing complex tasks involving people in houses or public environments are becoming more and more common, and there is a huge interest from both the research and the industrial point of view. The RoCKIn@Home challenge has been designed to compare and evaluate different approaches and solutions to tasks related to the development of domestic and service robots. RoCKIn@Home competitions have been designed and executed according to the benchmarking methodology developed during the project and received very positive feedbacks from the participating teams. Tasks and functionality benchmarks are explained in detail.

[1]  Benjamin Kuipers,et al.  Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions , 2006, AAAI.

[2]  Wolfram Burgard,et al.  Conceptual spatial representations for indoor mobile robots , 2008, Robotics Auton. Syst..

[3]  Johan Bos,et al.  A spoken language interface with a mobile robot , 2006, Artificial Life and Robotics.

[4]  Renato De Mori,et al.  Spoken language understanding: a survey , 2007, ASRU.

[5]  Roberto Basili,et al.  HuRIC: a Human Robot Interaction Corpus , 2014, LREC.

[6]  Jonathan H. Connell Extensible Grounding of Speech for Robot Instruction , 2018, ArXiv.

[7]  Roberto Basili,et al.  RoboCup@Home Spoken Corpus: Using Robotic Competitions for Gathering Datasets , 2014, RoboCup.

[8]  Daniele Nardi,et al.  A proposal for semantic map representation and evaluation , 2015, 2015 European Conference on Mobile Robots (ECMR).

[9]  Patrick J. Flynn,et al.  A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition , 2006, Comput. Vis. Image Underst..

[10]  John B. Lowe,et al.  The Berkeley FrameNet Project , 1998, ACL.

[11]  Charles J. Fillmore,et al.  Frames and the semantics of understanding , 1985 .

[12]  Joachim Hertzberg,et al.  Towards semantic maps for mobile robots , 2008, Robotics Auton. Syst..

[13]  Zhengyou Zhang,et al.  A Survey of Recent Advances in Face Detection , 2010 .

[14]  Matthew R. Walter,et al.  Approaching the Symbol Grounding Problem with Probabilistic Graphical Models , 2011, AI Mag..

[15]  Guido Bugmann,et al.  Corpus-Based Robotics: A Route Instruction Example , 2003 .

[16]  Cipriano Galindo,et al.  Multi-hierarchical semantic maps for mobile robotics , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Johan Bos Compilation of Unification Grammars with Compositional Semantics to Speech Recognition Packages , 2002, COLING.

[18]  Hermann Ney,et al.  Word Error Rates: Decomposition over POS classes and Applications for Error Analysis , 2007, WMT@ACL.

[19]  Fernando Pereira,et al.  Distributed acoustic modeling with back-off n-grams , 2012, ICASSP.

[20]  Patric Jensfelt,et al.  Large-scale semantic mapping and reasoning with heterogeneous modalities , 2012, 2012 IEEE International Conference on Robotics and Automation.