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Spatiotemporal Robustness for Time-Critical Systems with Application in Multi-Agent Autonomy

Objective

The reliability of autonomous control systems depends on their robustness, i.e. their ability to meet their objectives under uncertainty. Emerging applications in autonomy are increasingly time-critical: failing to meet temporal requirements can severely compromise safety and performance, as in multi-robot disaster response, fleets of autonomous taxis, and automated airport ground control. Yet today’s technology still struggles with unpredictable delays and coordination failures, limiting their reliability in real-world settings.

Existing research has focused on spatial robustness, ensuring that spatial objectives - such as collision avoidance of a robot - are met despite modeling errors and disturbances. However, time-critical systems also require spatiotemporal robustness: the ability to meet time-critical objectives - such as deadlines, sequencing, and periodic tasks - under uncertainty. A major challenge arises from variations in computation and actuation times, and particularly from complex timing uncertainties caused by human interaction, unpredictable sensing failures, and compute-intensive perception. Equally limiting is the lack of scalable design tools, calling for a fundamental rethinking of current methods. Our goal is to establish the theoretical and algorithmic foundations of time-critical systems via spatiotemporal robustness to enable their reliable deployment in the real world.

Therefore, the objectives of this proposal will be to: (1) develop interpretable notions of spatiotemporal robustness along with efficient tools for its computation; (2) design spatiotemporally robust task and motion planning algorithms; (3) propose spatiotemporal tracking controllers and runtime verification techniques; (4) define notions of graph spatiotemporal robustness for distributed control of multi-agent systems; and (5) perform experimental validation on multi-robot wildfire monitoring, self-driving taxis, and automated airport ground control systems.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2026-STG

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Host institution

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 499 690,00
Address
Raemistrasse 101
8092 Zuerich
Switzerland

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Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 499 690,00

Beneficiaries (1)