Browsing by Author "Sitti, M."

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    Leveraging building material as part of the in-plane robotic kinematic system for collective construction
    (Advanced Science, 2022-06-24) Leder, S.; Kim, H.; Oguz, Ozgur Salih; Kalousdian, N. K.; Hartmann, V. N.; Menges, A.; Toussaint, M.; Sitti, M.
    Although collective robotic construction systems are beginning to showcasehow multi-robot systems can contribute to building construction by efficientlybuilding low-cost, sustainable structures, the majority of research utilizesnon-structural or highly customized materials. A modular collective roboticconstruction system based on a robotic actuator, which leverages timberstruts for the assembly of architectural artifacts as well as part of the robotbody for locomotion is presented. The system is co-designed for in-planeassembly from an architectural, robotic, and computer science perspective inorder to integrate the various hardware and software constraints into a singleworkflow. The system is tested using five representative physical scenarios.These proof-of-concept demonstrations showcase three tasks required forconstruction assembly: the ability of the system to locomote, dynamicallychange the topology of connecting robotic actuators and timber struts, andcollaborate to transport timber struts. As such, the groundwork for a futureautonomous collective robotic construction system that could addresscollective construction assembly and even further increase the flexibility ofon-site construction robots through its modularity is laid.
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    ItemOpen Access
    Smart materials: Rational design in biosystems via artificial intelligence
    (Cell Press, 2022-02-28) Sağdıç, Kutay; Eş, İ.; Sitti, M.; İnci, Fatih
    Industry 4.0 encompasses a new industrial revolution in which advanced manufacturing systems are interconnected with information technologies. These sophisticated data-gathering technologies have led to a shift toward smarter manufacturing processes involving the use of smart materials (SMs). The properties of SMs make them highly attractive for numerous biomedical applications. The integration of artificial intelligence (AI) enables them to be effectively used in the design of novel biomedical platforms to overcome shortcomings in the current biotechnology industry. This review summarizes recent advances in AI-assisted SMs for different healthcare products. The current challenges and future perspectives of AI-supported smart biosystems are also discussed, particularly with the regard to their applications in drug design, biosensors, theranostics, and electronic skins.