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Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
Designing cyber-physical systems is a complex task which requires insigh...
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Can Machines Design? An Artificial General Intelligence Approach
Can machines design? Can they come up with creative solutions to problem...
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Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Although many research vehicle platforms for autonomous driving have bee...
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Cycle-Accurate Evaluation of Software-Hardware Co-Design of Decimal Computation in RISC-V Ecosystem
Software-hardware co-design solutions for decimal computation can provid...
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Memory Based Machine Intelligence Techniques in VLSI hardware
We briefly introduce the memory based approaches to emulate machine inte...
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Biologically inspired design framework for Robot in Dynamic Environments using Framsticks
Robot design complexity is increasing day by day especially in automated...
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A Distributed Hybrid Hardware-In-the-Loop Simulation framework for Infrastructure Enabled Autonomy
Infrastructure Enabled Autonomy (IEA) is a new paradigm that employs a d...
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A Formal Approach to the Co-Design of Embodied Intelligence
We consider the problem of formally co-designing embodied intelligence as a whole, from hardware components such as chassis and sensors to software modules such as control and perception pipelines. We propose a principled approach to formulate and solve complex embodied intelligence co-design problems, leveraging a monotone co-design theory. The methods we propose are intuitive and integrate heterogeneous engineering disciplines, allowing analytical and simulation-based modeling techniques and enabling interdisciplinarity. We illustrate through a case study how, given a set of desired behaviors, our framework is able to compute Pareto efficient solutions for the entire hardware and software stack of a self-driving vehicle.
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