Search for: robotics-and-automation
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    RoboCupRescue system and arian: A flexible infrastructure for multi-agent research and education

    , Article Proceedings: 15th IEEE International Conference on Tools with artificial Intelligence, Sacramento, CA, 3 November 2003 through 5 November 2003 ; 2003 , Pages 351-355 ; 10636730 (ISSN) Ahmadi, M ; Takahashi, T ; Habibi, J ; Koto, T ; IEEE Computer Society ; Sharif University of Technology
    One of the main requisites for multi agent researchers is a multi-purpose infrastructure that enables them to create, test and evaluate protocols, methods and algorithms. RoboCupRescue simulation environment is a flexible and configurable environment that can fill this gap. With changes in its configuration files, it will gain different features, so different methods can be designed, implemented, and tested. This environment is actually suitable for most multi-agent research issues such as cooperation, coordination, agent communication languages, and agent micro level issues. Sensible roles and tasks in the system motivate more research and make this environment a suitable infrastructure for... 

    An optimum design and simulation of an innovative mobile robotic nurse unit to assist paraplegic patients

    , Article Proceedings of the IEEE International Conference on Mechatronics 2004, ICM'04, Istanbul, 3 June 2004 through 5 June 2004 ; 2004 , Pages 141-147 ; 0780385993 (ISBN) Meghdari, A ; Hosseinkhannazer, H ; Selkghafari, A ; Sharif University of Technology
    This paper describes a nursing robot system currently under development at the Center of Excellence in Design, Robotics and Automation. Our goal was to design and fabricate of a robot specifically for paraplegic patients and the design procedure led to a plan which can be employed in any hospital environment. Through the design procedure, the team members conducted a survey on the robot client's needs and disabilities which provided a unique view on mechanical design features, in addition to, performing dynamical analysis on the designed mechanisms. Dynamical Simulation of mechanisms helped us to find the best design and solutions as well as optimization of parts has resulted in a matchless... 

    Automated Lip-Reading robotic system based on convolutional neural network and long short-term memory

    , Article 13th International Conference on Social Robotics, ICSR 2021, 10 November 2021 through 13 November 2021 ; Volume 13086 LNAI , 2021 , Pages 73-84 ; 03029743 (ISSN) ; 9783030905248 (ISBN) Gholipour, A ; Taheri, A ; Mohammadzade, H ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    In Iranian Sign Language (ISL), alongside the movement of fingers/arms, the dynamic movement of lips is also essential to perform/recognize a sign completely and correctly. In a follow up of our previous studies in empowering the RASA social robot to interact with individuals with hearing problems via sign language, we have proposed two automated lip-reading systems based on DNN architectures, a CNN-LSTM and a 3D-CNN, on the robotic system to recognize OuluVS2 database words. In the first network, CNN was used to extract static features, and LSTM was used to model temporal dynamics. In the second one, a 3D-CNN network was used to extract appropriate visual and temporal features from the... 

    Construction equipment collision-free path planning using robotic approach

    , Article ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, 20 July 2018 through 25 July 2018 ; 2018 Kayhani, N ; Taghaddos, H ; Behzadipour, S ; Arcadis; Autodesk; et al.; Topcon; VHV Versicherungen; ZPP German Engineering ; Sharif University of Technology
    International Association for Automation and Robotics in Construction I.A.A.R.C)  2018
    Path planning is crucial in constructability analysis and heavy construction equipment scheduling, particularly in industrial plants. The main purpose of construction equipment path planning is devising the shortest path between its initial and aimed location. This suggested path is supposed to be safe, and collision-free. The current planning practice, even in industrial projects whose sites are extremely congested, is manual based on the expert judgment. Thus, this sophisticated manual process is not only prone to errors, but also time-consuming. This research presents an automated path planning approach based on an obstacle avoidance technique in robotics to support the decision-making...