Deep Coordinator uses deep unfolding to adapt ADMM-DDP penalty parameters at runtime, delivering 6.18-9.44x faster comparable-quality trajectories in car and quadrotor fleet simulations while scaling to 8x larger systems.
Integrating blockchain for enhanced coordination and security in semi-centralized robotic swarms,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes mapping TB-CSPN coordination semantics to FPGA hardware to enforce bounded latency, synchronization, and safety constraints in autonomous systems while keeping reasoning in software.
citing papers explorer
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Deep-Unfolded Coordination
Deep Coordinator uses deep unfolding to adapt ADMM-DDP penalty parameters at runtime, delivering 6.18-9.44x faster comparable-quality trajectories in car and quadrotor fleet simulations while scaling to 8x larger systems.
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Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
Proposes mapping TB-CSPN coordination semantics to FPGA hardware to enforce bounded latency, synchronization, and safety constraints in autonomous systems while keeping reasoning in software.