A Software Stack for Composable Cloud Robotics System

Modern cloud robotic applications face new challenges in managing today’s highly distributed and heterogeneous environment. For example, the application programmers must make numerous systematical decisions between the local robot and the cloud server, such as computation deployment, data sharing and function integration.

[1]  Tarek M. Sobh,et al.  Robotics Middleware: A Comprehensive Literature Survey and Attribute-Based Bibliography , 2012, J. Robotics.

[2]  Sergio Guadarrama,et al.  Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Moritz Tenorth,et al.  RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach , 2015, IEEE Transactions on Automation Science and Engineering.

[4]  Yuanyuan Yang,et al.  Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[5]  Pieter Abbeel,et al.  Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor , 2014 .

[6]  Meikang Qiu,et al.  Security protection and checking for embedded system integration against buffer overflow attacks via hardware/software , 2006, IEEE Transactions on Computers.

[7]  Raffaello D'Andrea,et al.  Rapyuta: A Cloud Robotics Platform , 2015, IEEE Transactions on Automation Science and Engineering.

[8]  Yuan Yu,et al.  TensorFlow: A system for large-scale machine learning , 2016, OSDI.

[9]  Bo Chen,et al.  MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.

[10]  Randy H. Katz,et al.  A Berkeley View of Systems Challenges for AI , 2017, ArXiv.

[11]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[12]  Pan Hui,et al.  ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading , 2012, 2012 Proceedings IEEE INFOCOM.

[13]  Meikang Qiu,et al.  A User-Centric Data Protection Method for Cloud Storage Based on Invertible DWT , 2021, IEEE Transactions on Cloud Computing.

[14]  Guoqiang Hu,et al.  Cloud robotics: architecture, challenges and applications , 2012, IEEE Network.

[15]  Xinyu Liu,et al.  Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics , 2017, Robotics: Science and Systems.

[16]  Michael Beetz,et al.  Know Rob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-Enabled Robotic Agents , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[17]  Alec Wolman,et al.  MAUI: making smartphones last longer with code offload , 2010, MobiSys '10.

[18]  Xinyu Liu,et al.  Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning , 2017, ArXiv.

[19]  Byung-Gon Chun,et al.  CloneCloud: elastic execution between mobile device and cloud , 2011, EuroSys '11.

[20]  Qiang Li,et al.  A cloud robot system using the dexterity network and berkeley robotics and automation as a service (Brass) , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[21]  Wenzhi Cui,et al.  MAVBench: Micro Aerial Vehicle Benchmarking , 2018, 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

[22]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[23]  Moritz Tenorth,et al.  Representation and Exchange of Knowledge About Actions, Objects, and Environments in the RoboEarth Framework , 2013, IEEE Transactions on Automation Science and Engineering.

[24]  Raffaello D'Andrea,et al.  Guest editorial: A revolution in the warehouse: a retrospective on Kiva Systems and the grand challenges ahead , 2012, IEEE Trans Autom. Sci. Eng..

[25]  Javier Civera,et al.  C2TAM: A Cloud framework for cooperative tracking and mapping , 2014, Robotics Auton. Syst..

[26]  Kenneth Y. Goldberg,et al.  Cloud-based robot grasping with the google object recognition engine , 2013, 2013 IEEE International Conference on Robotics and Automation.

[27]  Roland Siegwart,et al.  Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization , 2017, IEEE Robotics and Automation Letters.

[28]  Frank van Harmelen,et al.  Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema , 2002, SEMWEB.

[29]  Xu Chen,et al.  Decentralized Computation Offloading Game for Mobile Cloud Computing , 2014, IEEE Transactions on Parallel and Distributed Systems.

[30]  Shuichi Nishio,et al.  Cloud networked robotics , 2012, IEEE Network.

[31]  Herman Bruyninckx,et al.  Cloud based centralized task control for human domain multi-robot operations , 2015, Intelligent Service Robotics.

[32]  Cong Wang,et al.  Security Challenges for the Public Cloud , 2012, IEEE Internet Computing.