AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
This work proposes a model-based framework for generating quasi-static, stability-oriented reference trajectories for rigid, non-articulated four-wheeled vehicles on highly uneven terrain and introduces a Flow Matching model that warm-starts terrain fitting, and evaluates its fitting-accuracy--latency trade-off while r...
A planner for car-like vehicles with reverse gear in which every iterate of the optimisation phase satisfies the discretised dynamics exactly and keeps the whole vehicle rectangle clear of obstacles between the samples.
This paper presents a hierarchical coordination and safety-filtering framework for connectivity-aware cooperative multi-UAVnavigation in obstacle-dense corridor environments. The architecture separates low-rate centralized team coordination from high-rate decentralized execution. The centralized layer updates a belief...
Optimization-based trajectory planning is widely used in autonomous driving, yet efficient obstacle avoidance for vehicles with non-negligible dimensions remains challenging. This paper proposes a shrinkable-corridor method within a MINCO-based trajectory optimization framework. The free space is represented by overlap...
In multi-AUV collaborative underwater coverage operations, the fundamental principle of load balancing is temporally rather than spatially defined. Traditional partition schemes that equalize area or grid counts suffer from a critical fallacy: they assume a linear mapping from geometry to working time, which collapses...
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