Survey on artificial intelligence based techniques for emerging robotic communication
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[1] Roberto Colella,et al. Industrial Internet of things at work: a case study analysis in robotic-aided environmental monitoring , 2017, IET Wirel. Sens. Syst..
[2] Alessandro Saffiotti,et al. IoT European Large-Scale Pilots – Integration, Experimentation and Testing , 2017 .
[3] D. C. Cox,et al. A handoff algorithm for wireless systems using pattern recognition , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).
[4] Hsing-Chung Chen,et al. Driver behaviour detection and vehicle rating using multi-UAV coordinated vehicular networks , 2017, J. Comput. Syst. Sci..
[5] Rajesh Kumar,et al. An opportunistic cross layer design for efficient service dissemination over flying ad hoc networks (FANETs) , 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).
[6] Lahouari Ghouti,et al. Mobility prediction in mobile ad hoc networks using neural learning machines , 2016, Simul. Model. Pract. Theory.
[7] Joo-Ho Lee,et al. Intelligent Space — concept and contents , 2002, Adv. Robotics.
[8] Yu Zhou,et al. A reinforcement learning trained fuzzy neural network controller for maintaining wireless communication connections in multi-robot systems , 2014, Sensing Technologies + Applications.
[9] Walid Saad,et al. Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience , 2016, IEEE Journal on Selected Areas in Communications.
[10] Richard Demo Souza,et al. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks , 2017, IEEE Communications Surveys & Tutorials.
[11] Emmanuel Baccelli,et al. Low-Cost Robots in the Internet of Things: Hardware, Software & Communication Aspects , 2017, EWSN.
[12] Ella M. Atkins,et al. Human Intent Prediction Using Markov Decision Processes , 2015, J. Aerosp. Inf. Syst..
[13] Monica N. Nicolescu,et al. Deep networks for predicting human intent with respect to objects , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[14] Swati Gupta,et al. A brief survey and analysis of multi-robot communication and coordination , 2015, International Conference on Computing, Communication & Automation.
[15] Javier Irizarry,et al. Ambient intelligence environments for accessing building information , 2014 .
[16] Hong Liu,et al. Securing wireless communications of connected vehicles with artificial intelligence , 2017, 2017 IEEE International Symposium on Technologies for Homeland Security (HST).
[17] Cristanel Razafimandimby,et al. A Neural Network and IoT Based Scheme for Performance Assessment in Internet of Robotic Things , 2016, 2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI).
[18] Hasan Omar Al-Sakran,et al. Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology , 2015 .
[19] Izhak Rubin,et al. A framework and analysis for cooperative search using UAV swarms , 2004, SAC '04.
[20] S. G. Popov,et al. The rules selection algorithm for network traffic of robot groups in intelligent transportation systems , 2017, 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
[21] Mukta Paliwal,et al. Neural networks and statistical techniques: A review of applications , 2009, Expert Syst. Appl..
[22] Fawzi Nashashibi,et al. Indoor Intelligent Vehicle localization using WiFi received signal strength indicator , 2017, 2017 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).
[23] Mohamed Ayadi,et al. Exploiting Neuro-Fuzzy System for Mobility Prediction in Wireless Ad-Hoc Networks , 2015, IWANN.
[24] Kathiravan Srinivasan,et al. Efficient cooperative relaying in flying ad hoc networks using fuzzy-bee colony optimization , 2017, The Journal of Supercomputing.
[25] Eduardo Serrano,et al. Internet of Intelligent Things: Bringing Artificial Intelligence into Things and Communication Networks , 2014 .
[26] Mario Gerla,et al. Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).
[27] Kan Zheng,et al. A Reinforcement Learning-Based Resource Allocation Scheme for Cloud Robotics , 2018, IEEE Access.
[28] Elena V. Simonova,et al. Application of Multi-agent Technology in the Scheduling System of Swarm of Earth Remote Sensing Satellites , 2017 .
[29] Edwin Olson,et al. Learning semantic place labels from occupancy grids using CNNs , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[30] Wail Gueaieb,et al. An Intelligent Mobile Robot Navigation Technique Using RFID Technology , 2008, IEEE Transactions on Instrumentation and Measurement.
[31] Changhua He,et al. Resource reservation in wireless networks based on pattern recognition , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[32] Jonathan Fink,et al. Communication for teams of networked robots , 2011 .
[33] Richard J. Duro,et al. Open-ended evolution as a means to self-organize heterogeneous multi-robot systems in real time , 2010, Robotics Auton. Syst..
[34] M. Cappelli. Regulation on Safety and civil Liability of intelligent autonomous Robots: the case of smart Cars , 2015 .
[35] Arcot Sowmya,et al. Victim detection and localisation in an urban disaster site , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[36] J. Hvizdoš,et al. Applications of remote controlled robotics in the intelligent space , 2017, 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
[37] Cristanel Razafimandimby,et al. Towards efficient deployment in Internet of Robotic Things , 2018 .
[38] Hassan Mathkour,et al. Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter , 2017, Int. J. Distributed Sens. Networks.
[39] Fernando Santos Osório,et al. CaRINA Intelligent Robotic Car: Architectural design and applications , 2014, J. Syst. Archit..
[40] Ankur Roy Chowdhury. IoT and Robotics: a synergy , 2017, PeerJ Prepr..
[41] Samira Chouraqui,et al. Neuro-fuzzy controller to navigate an unmanned vehicle , 2013, SpringerPlus.
[42] José Ranilla,et al. High-performance computing: the essential tool and the essential challenge , 2016, The Journal of Supercomputing.
[43] Lahouari Ghouti,et al. Mobility Prediction in Mobile Ad Hoc Networks Using Extreme Learning Machines , 2013, ANT/SEIT.
[44] Vijay Raghunathan,et al. iTCP: an intelligent TCP with neural network based end-to-end congestion control for ad-hoc multi-hop wireless mesh networks , 2014, Wireless Networks.
[45] Jean-Marc Thiriet,et al. Co-design for Wireless Networked Control of an Intelligent Mobile Robot , 2009, ICINCO-RA.
[46] Dario Floreano,et al. Evolved swarming without positioning information: an application in aerial communication relay , 2009, Auton. Robots.
[47] S. H. Alsamhi,et al. Implementation of call admission control technique in HAP for enhanced QoS in wireless network deployment , 2016, Telecommun. Syst..
[48] Dick Stottler. Satellite Communication Scheduling, Optimization, and Deconfliction Using Artificial Intelligence Techniques , 2010 .
[49] Julien Bourgeois,et al. Using Nano-wireless Communications in Micro-Robots Applications , 2014, NANOCOM' 14.
[50] Victor C. M. Leung,et al. From cloud-based communications to cognition-based communications: A computing perspective , 2018, Comput. Commun..
[51] Rajesh Kumar,et al. G-FANET: an ambient network formation between ground and flying ad hoc networks , 2017, Telecommun. Syst..
[52] Walid Saad,et al. Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.
[53] S. H. Alsamhi,et al. An Efficient Channel Reservation Technique for Improved QoS for Mobile Communication Deployment Using High Altitude Platform , 2016, Wirel. Pers. Commun..
[54] Donato Di Paola,et al. IoT-aided robotics applications: Technological implications, target domains and open issues , 2014, Comput. Commun..
[55] Jian Ma,et al. Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities , 2018, IEEE Transactions on Industrial Informatics.
[56] Hideki Hashimoto,et al. Monitoring system based on ethologically inspired human-robot communication in Intelligent Space , 2011, 2011 8th Asian Control Conference (ASCC).
[57] Simon X. Yang,et al. Neural-Network-Based Path Planning for a Multirobot System With Moving Obstacles , 2009, IEEE Trans. Syst. Man Cybern. Part C.
[58] Alicia Y. C. Tang,et al. Agents of Things (AoT): An intelligent operational concept of the Internet of Things (IoT) , 2013, 2013 13th International Conference on Intellient Systems Design and Applications.
[59] Veysel Gazi,et al. Asynchronous Particle Swarm Optimization Based Search with a Multi-Robot System: Simulation and Impl , 2010 .
[60] Abdelmadjid Bouabdallah,et al. ETTAF: Efficient Target Tracking and Filming with a Flying Ad Hoc Network , 2015, SmartObjects '15.
[61] Sidi-Mohammed Senouci,et al. Network connectivity and area coverage for UAV fleet mobility model with energy constraint , 2016, 2016 IEEE Wireless Communications and Networking Conference.
[62] Rajesh Kumar,et al. Self-Healing Neural Model for Stabilization Against Failures Over Networked UAVs , 2015, IEEE Communications Letters.
[63] Nishith D. Tripathi,et al. Pattern classification based handoff using fuzzy logic and neural nets , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).
[64] Kathiravan Srinivasan,et al. EFF-FAS: enhanced fruit fly optimisation based search and tracking by flying ad hoc swarm , 2019, Int. J. Ad Hoc Ubiquitous Comput..
[65] Francesca Cuomo,et al. Nano-wireless communications for microrobotics: An algorithm to connect networks of microrobots , 2017, Nano Commun. Networks.
[66] H. Bora Karayaka,et al. Simulating micro-robots to find a point of interest under noise and with limited communication using Particle Swarm Optimization , 2017, SoutheastCon 2017.
[67] Tingli Su,et al. State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence , 2018 .
[68] Ilker Bekmezci,et al. Connected multi UAV task planning for Flying Ad Hoc Networks , 2014, 2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).
[69] Eleanor Sandry,et al. Re-evaluating the Form and Communication of Social Robots , 2015, Int. J. Soc. Robotics.
[70] Manuel Mazo,et al. An Intelligent Space for Mobile Robot Localization Using a Multi-Camera System , 2014, Sensors.
[71] Roberto Sabatini,et al. UAVs Assisted Delay Optimization in Heterogeneous Wireless Networks , 2016, IEEE Communications Letters.
[72] Jonathan P. How,et al. Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[73] S. H. Alsamhi,et al. An Intelligent Hand-off Algorithm to Enhance Quality of Service in High Altitude Platforms Using Neural Network , 2015, Wirel. Pers. Commun..
[74] Mianxiong Dong,et al. Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation , 2019, IEEE Transactions on Sustainable Computing.
[75] Mehdi Bennis,et al. UAV-Assisted Heterogeneous Networks for Capacity Enhancement , 2016, IEEE Communications Letters.
[76] Bernhard Schölkopf,et al. Probabilistic movement modeling for intention inference in human–robot interaction , 2013, Int. J. Robotics Res..
[77] Er Meng Joo,et al. A survey of machine learning in Wireless Sensor netoworks From networking and application perspectives , 2007, 2007 6th International Conference on Information, Communications & Signal Processing.
[78] Sarangapani Jagannathan,et al. Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations , 2017, 2017 American Control Conference (ACC).
[79] Kathiravan Srinivasan,et al. Intelligent deployment of UAVs in 5G heterogeneous communication environment for improved coverage , 2017, J. Netw. Comput. Appl..
[80] Partha Pratim Ray,et al. Internet of Robotic Things: Concept, Technologies, and Challenges , 2016, IEEE Access.
[81] Yinong Chen,et al. Internet of intelligent things and robot as a service , 2013, Simul. Model. Pract. Theory.
[82] Rajesh Kumar,et al. Cooperative frameworks and network models for flying ad hoc networks: a survey , 2017, Concurr. Comput. Pract. Exp..
[83] Babak Salamat,et al. Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs) , 2017 .
[84] Jameela Al-Jaroodi,et al. UAVFog: A UAV-based fog computing for Internet of Things , 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).
[85] Ashok Kumar Das,et al. Authentication protocols for the internet of drones: taxonomy, analysis and future directions , 2018, Journal of Ambient Intelligence and Humanized Computing.
[86] Dario Izzo,et al. Artificial Intelligence for Space Applications , 2007 .
[87] Chu Kiong Loo,et al. Incremental episodic segmentation and imitative learning of humanoid robot through self-exploration , 2016, Neurocomputing.
[88] Xiaoyan Hong,et al. UAV aided intelligent routing for ad-hoc wireless network in single-area theater , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).
[89] Hwee Pink Tan,et al. Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications , 2014, IEEE Communications Surveys & Tutorials.
[90] David Portugal,et al. A comparison of general-purpose FOSS compression techniques for efficient communication in cooperative multi-robot tasks , 2014, 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO).
[91] Stefano Nolfi,et al. Toward open-ended evolutionary robotics: evolving elementary robotic units able to self-assemble and self-reproduce , 2004, Connect. Sci..
[92] Walid Saad,et al. Learning How to Communicate in the Internet of Things: Finite Resources and Heterogeneity , 2016, IEEE Access.
[93] Naoyuki Kubota,et al. Fuzzy Computing for Communication of A Partner Robot Based on Imitation , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[94] Ming Liu,et al. A deep-network solution towards model-less obstacle avoidance , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[95] Mohamed Ayoub Messous,et al. Implementing an emerging mobility model for a fleet of UAVs based on a fuzzy logic inference system , 2017, Pervasive Mob. Comput..
[96] Sangjun Lee,et al. Finding the optimal location and allocation of relay robots for building a rapid end-to-end wireless communication , 2016, Ad Hoc Networks.
[97] Yuting Zhang,et al. Predictive routing for wireless networks: Robotics-based test and evaluation platform , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).
[98] Alex R. Pinto,et al. AVENS - A Novel Flying Ad Hoc Network Simulator with Automatic Code Generation for Unmanned Aircraft System , 2017, HICSS.
[99] Jörg Franke,et al. Self-learning RRT* Algorithm for Mobile Robot Motion Planning in Complex Environments , 2014, IAS.
[100] Pascal Bouvry,et al. UAV fleet area coverage with network connectivity constraint , 2013, MobiWac '13.