pith:JWXODRYZ
Safe and Energy-Aware Multi-Robot Density Control via PDE-Constrained Optimization for Long-Duration Autonomy
A quadratic program fuses PDE density models with Lyapunov and barrier functions to keep robot groups on target, safe from obstacles, and energy-sufficient across repeated charging cycles.
arxiv:2604.15524 v2 · 2026-04-16 · eess.SY · cs.RO · cs.SY
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Claims
Control Lyapunov and control barrier functions are integrated with PDEs to enforce target density tracking, obstacle region avoidance, and energy sufficiency over multiple charging cycles. The resulting quadratic program enables fast in-the-loop implementation that adjusts commands in real-time.
The stochastic robot motion is accurately encoded through the Fokker-Planck PDE at the density level, and the quadratic program remains feasible and solvable in real time under localization and motion uncertainties while preserving the safety and energy guarantees.
A Fokker-Planck PDE-constrained quadratic program integrates control Lyapunov and barrier functions to achieve safe, energy-sustainable density tracking for multi-robot systems over long durations.
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| First computed | 2026-05-25T02:01:20.486223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4daee1c719df0d0d65d3d3e58d6721cfd18465b0a5a4e6fbf919fe5fb0a0e37e
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/JWXODRYZ34GQ2ZOT2PSY2ZZBZ7 \
| jq -c '.canonical_record' \
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# expect: 4daee1c719df0d0d65d3d3e58d6721cfd18465b0a5a4e6fbf919fe5fb0a0e37e
Canonical record JSON
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