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Organizing and Steering Committees

2005 Sixth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'05)  
Next, to all the members of the international program committee and reviewers, who helped us with their expertise and valuable time.  ...  Of these, 14 papers were selected for oral presentation and 9 papers were selected for poster presentation. The global acceptance ratio was 72%.  ...  We thank EPFL for funding the development of the epuck robot through its Funding Program for Teaching and Learning.  ... 
doi:10.1109/policy.2005.20 dblp:conf/policy/X05a fatcat:kkll4rj33zeolpb6tkjnnk3xoa

Industrial and Mobile Robot Collision-Free Motion Planning Using Fuzzy Logic Algorithms [chapter]

Tzafestas S., Zavlangas P.
2006 Industrial Robotics: Theory, Modelling and Control  
For the mobile robots (indoor and outdoor robots) motion planning and autonomous navigation is also a critical issue, as evidenced by applications such as office cleaning, cargo delivery, autonomous wheel  ...  Reactivity provides immediate response to unpredicted environmental situations by giving up the idea of reasoning about future consequences of actions.  ...  The authors and editor of this book wish to inspire people, especially young ones, to get involved with robotic and mechatronic engineering technology and to develop new and exciting practical applications  ... 
doi:10.5772/5033 fatcat:24jud5b3yrfjljnutitv3phwxi

Systems Challenges for Trustworthy Embodied Systems [article]

Harald Rueß
2022 arXiv   pre-print
A new generation of increasingly autonomous and self-learning embodied systems is about to be developed.  ...  We are therefore identifying a number of urgent systems challenges for trustworthy embodied systems, including robust and human-centric AI, cognitive architectures, uncertainty quantification, trustworthy  ...  Their actions are based on a situational awareness of the operating environment together with built-in intents and goals for managing the unpredictable.  ... 
arXiv:2201.03413v2 fatcat:hwprg3zjhvfuro3etecx2t4qua

Building Intelligent Autonomous Navigation Agents [article]

Devendra Singh Chaplot
2021 arXiv   pre-print
The goal of this thesis is to make progress towards designing algorithms capable of 'physical intelligence', i.e. building intelligent autonomous navigation agents capable of learning to perform complex  ...  In the second part, we present a new class of navigation methods based on modular learning and structured explicit map representations, which leverage the strengths of both classical and end-to-end learning  ...  For more complex problems such as target-driven navigation in a novel environment, such purely reactive strategies do not work well [222] , and memory-based policies have been investigated.  ... 
arXiv:2106.13415v1 fatcat:5x5g64rd2rfvnmttcz5y7qvium

Internet of Robotic Things Intelligent Connectivity and Platforms

Ovidiu Vermesan, Roy Bahr, Marco Ottella, Martin Serrano, Tore Karlsen, Terje Wahlstrøm, Hans Erik Sand, Meghashyam Ashwathnarayan, Micaela Troglia Gamba
2020 Frontiers in Robotics and AI  
In IoRT, collaborative robotic things can communicate with other things, learn autonomously, interact safely with the environment, humans and other things, and gain qualities like self-maintenance, self-awareness  ...  The emergence of "intelligent things" (static or mobile) in collaborative autonomous fleets requires new architectures, connectivity paradigms, trustworthiness frameworks, and platforms for the integration  ...  In addition, for IoRT applications, edge intelligence is moving from the cloud to the robotic things with more DL, ML, and other AI-based computation transferred from the cloud to the edge thereby assuring  ... 
doi:10.3389/frobt.2020.00104 pmid:33501271 pmcid:PMC7805974 fatcat:oejpeyynjndnxcq7jsdcotv7ua

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Alexander Ferrein
2010 Künstliche Intelligenz  
It turns out that our approach, which was inspired by the RoboCup setting, scales very well for indoor navigation in large environments.  ...  Kaminka et al. (2002) implemented tasks like navigation, mapping, and exploration for game bots for the UNREAL TOURNA-MENT framework.  ... 
doi:10.1007/s13218-010-0041-3 fatcat:ltrvy7pynjbs7joc5exp2khgii

Artificial Intelligence in Bio-Medical Domain

Muhammad Salman, Abdul Wahab, Omair Ahmad, Basit Raza, Khalid Latif
2017 International Journal of Advanced Computer Science and Applications  
AI, ANN, ML) is revolutionizing the field of biomedical and healthcare.  ...  The main purpose of this paper is to explore the area of medical and health-care with respect to AI along with 'Machine Learning', and 'Neural Networks'.  ...  used to determine activity in indoor environments [19] , [20] .  ... 
doi:10.14569/ijacsa.2017.080842 fatcat:p7wurhzxwbd3vhcixkity2y5iq

Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey

Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain
2022 IEEE Access  
The survey also introduces a layered and interfacing architecture complete with its E2E solution for the intelligent touch based wireless communication system.  ...  It is anticipated for the next generation system to provide numerous opportunities for various sectors utilizing AR/VR technology in robotics and healthcare facilities, all with the intension of helping  ...  In engaging with events, Aura uses two concepts: proactive and reactive.  ... 
doi:10.1109/access.2022.3148473 fatcat:dbzbqyq3efaj7pbfwf4izmju64

Machine Learning Meets Communication Networks: Current Trends and Future Challenges

Ijaz Ahmad, Shariar Shahabuddin, Hassan Malik, Erkki Harjula, Teemu Leppanen, Lauri Loven, Antti Anttonen, Ali Hassan Sodhro, Muhammad Mahtab Alam, Markku Juntti, Antti Yla-Jaaski, Thilo Sauter (+3 others)
2020 IEEE Access  
Along with the improvement in communication technologies, several disciplines with distinct algorithms and tools have emerged in ML.  ...  Edge Computing (MEC), Software Defined Networking (SDN), Network Functions Virtualization (NFV), and a brief overview of ML-based network security.  ...  In [165] , the authors present a CNN based fingerprinting technique for indoor localization based on channel frequency response (CFR).  ... 
doi:10.1109/access.2020.3041765 fatcat:erbcetvcrjabrl4qloow3dqcai


2020 2020 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)  
In this contribution, an approach is developed based on fuzzy-Random Forest (fuzzy-RF) for recognizing human driving intentions in real time.  ...  Presentation -Patterson Air Force Base, Ohio.  ...  This paper describes the design and test of a situation display for the dispatch center of emergency medical services during the MCI.  ... 
doi:10.1109/cogsima49017.2020.9216091 fatcat:2e62pqu3zrhwzkzs2j6uzdkfju

D1.2 System Architecture Definition

Srdjan Skrbic
2021 Zenodo  
The COLLABS project aims at developing, demonstrating and supporting a comprehensive cyberintelligence framework for collaborative manufacturing, which enables the secure data exchange across the digital  ...  The specification of the architecture is based on a detailed analysis of reference architectures, state-of the- art literature review, end-user requirement analysis, as well as general non-functional requirements  ...  These high-level objectives are detailed with KPIs that can be found in section 1.1.2 of the proposal and will be formalized for real success measurement in WP6.  ... 
doi:10.5281/zenodo.5347678 fatcat:4jr4tibrurasfnbl23huny3xkq

India, The Fourth Industrial Revolution and Government Policy

S. Patanjali, D. Subramaniam
2019 Arthshastra Indian Journal of Economics & Research  
out an attack indoors.  ...  For instance, the ability to recognize a target's face and to navigate through space can be applied in autonomous weapon systems.  ...  • Should there be a requirement for non-human systems operating online or otherwise interacting with humans (for example, over the telephone) to identify themselves as such (a "Blade Runner law" ) to increase  ... 
doi:10.17010/aijer/2019/v8i2/145224 fatcat:srchlppo6za4hd4klygunfpwuq

Airborne Chemical Sensing with Mobile Robots

Achim Lilienthal, Amy Loutfi, Tom Duckett
2006 Sensors  
are purely based on simulations.  ...  Due to the difficulty of modelling gas distribution in a real world environment with currently available simulation techniques, we focus largely on experimental work and do not consider publications that  ...  However, a discernible gas plume can not be guaranteed, for example, in an unventilated indoor environment.  ... 
doi:10.3390/s6111616 fatcat:27lfcbafovfgxn6uzchzqaki2m

Deep Reinforcement Learning [article]

Yuxi Li
2018 arXiv   pre-print
We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.  ...  Then we discuss important mechanisms for RL, including attention and memory, unsupervised learning, hierarchical RL, multi-agent RL, relational RL, and learning to learn.  ...  The authors present an implementation with centralized training for decentralized execution, as discussed below. The authors experiment with grid world coordination, a partially observable game,  ... 
arXiv:1810.06339v1 fatcat:kp7atz5pdbeqta352e6b3nmuhy

Internet of Things 2.0: Concepts, Applications, and Future Directions

Ian Zhou, Imran Makhdoom, Negin Shariati, Muhammad Ahmad Raza, Rasool Keshavarz, Justin Lipman, Mehran Abolhasan, Abbas Jamalipour
2021 IEEE Access  
As the number of IoT devices grows, deploying environmentally sustainable IoT devices integrated with EHs will lead to the long-term conservation of the environment and the global economy.  ...  Finally, unmanned autonomous and remotely controlled systems provide safety for operations in dangerous and difficult-to-reach environments. These operations usually involve high precision.  ... 
doi:10.1109/access.2021.3078549 fatcat:g5jkc5p6tngpfonbhtsbcjipai
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