Interaction-Aware Control and Planning in Autonomous Networked SystemsSpeakerVahid Mamduhi AffiliationAssistant Professor AbstractPerformance of control and planning policies for autonomous networked systems is tightly coupled with both quality and type of information being exchanged among distributed components. While the quality of information exchange relates to how accurately the communication network transports data; determining the proper type of data to exchange requires analysing the relevance and value of information with respect to the desired objective. This is especially challenging when the information exchange pattern is dynamic, meaning that the components communicating with each other are not fixed a priori and communicating nodes may change over time. This is common in scenarios such as autonomous driving, where communication with other vehicles and infrastructure occurs based on location and physical interactions. Therefore, efficient control and planning requires two aspects to be properly considered: first, identifying the relevant interaction pattern, and second, ensuring information is transported with sufficient communication quality. In this talk, I will discuss the effects of properly designing both mentioned schemes on the control and planning performance for autonomous systems. Through high-fidelity simulations in an autonomous leader-follower vehicle network scenario, we show that proper interaction design results in noticeable control and planning performance improvement, even under harsh conditions. Moreover, we demonstrate that control-aware communication can provide required quality of service for critical control applications. Bio
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