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DTSTAMP:20240626T180034Z
LOCATION:3003\, 3rd Floor
DTSTART;TZID=America/Los_Angeles:20240624T133000
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UID:dac_DAC 2024_sess213_TUT102@linklings.com
SUMMARY:Automated Co-design of Complex Systems: from Autonomy to Future Mo
 bility Systems
DESCRIPTION:Tutorial\n\nGioele Zardini (Massachusetts Institute of Technol
 ogy) and Andrea Censi (ETH Zürich)\n\nThe contemporary era struggles with 
 the intricate challenge of designing ``complex systems''. \nThese systems 
 are characterized by intricate webs of interactions that interlace their c
 omponents, giving rise to multifaceted complexities, springing from at lea
 st two sources.\nFirst, the co-design of complex systems (e.g., a large ne
 twork of cyber-physical systems) demands the simultaneous selection of com
 ponents arising from heterogeneous natures (e.g., hardware vs. software pa
 rts), while satisfying system constraints and accounting for multiple obje
 ctives. \nSecond, different components are interconnected through interact
 ions, and their design cannot be decoupled (e.g., within a mobility system
 ).\nNavigating this complexity necessitates innovative approaches, and thi
 s tutorial responds to this imperative by focusing on a monotone theory of
  co-design. \nOur exploration extends from the design of individual platfo
 rms, such as autonomous vehicles, to the orchestration of entire mobility 
 systems built upon such platforms. \n\nIn particular, we will delve into t
 he theoretical foundations of a monotone theory of co-design, establishing
  a robust mathematical framework and its application to a diverse array of
  real-world problems, revolving around the domain of embodied intelligence
 . \nThe presented toolbox empowers efficient computation of optimal design
  solutions\ntailored to specific tasks and, in its novelty, paves the way 
 for several possibilities for future research.\n\nThis tutorial will focus
  on the particular application of computational design of autonomous syste
 ms, featuring both a technical and a practical session.\nParticipants will
  have the opportunity to explore dedicated demos and ``learn by doing'' th
 rough guided exercises.\nThe tutorial provides participants with an introd
 uction to robot co-design and aims to connect multiple communities to enab
 le the development of composable models, algorithms, fabrication processes
 , and hardware for embodied intelligence. \nIt is intended to be accessibl
 e from any background and seniority level and will present applications to
  a wide array of topics of interest to the design automation and robotics 
 communities.\n\nTopic: Autonomous Systems
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