arXiv AI By Antonio Franchi

Drag-Aware Aerodynamic Manipulability for Torque-Limited Redundant Multirotors: Aerodynamic Promptness based on the Symmetric Acceleration Capacity

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The paper introduces a capacity‑aware extension of aerodynamic promptness for redundant multirotors with heterogeneous rotors. It defines the symmetric acceleration capacity (SAC) as the largest zero‑centered rotor‑acceleration interval under bounded torque and drag, and uses SAC to induce a Riemannian metric that yields a state‑attached task‑rate capability matrix and ellipsoid. The resulting drag‑aware aerodynamic manipulability (DAAM) index and its fiberwise maximization provide a task‑coordinate‑invariant criterion for selecting actuator states, demonstrated in low‑dimensional rotor studies and a two‑rotor allocation case that improves force‑tracking performance compared to the pseudoinverse.

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arXiv AI
3d ago

UniConFlow: A Unified Constrained Flow-Matching Framework for Certified Motion Planning

UniConFlow is a unified constrained flow‑matching framework that generates robot trajectories while systematically handling both equality and inequality constraints such as collision avoidance, actuation limits, and dynamic consistency. It introduces a prescribed‑time zeroing function to shape a time‑varying guidance field during inference, and employs a violation‑segment extraction protocol and trajectory compression to address computational challenges in long‑horizon, high‑dimensional planning. Experiments on a double inverted pendulum, a real‑to‑sim car racing task, and a sim‑to‑real manipulation task show that UniConFlow outperforms state‑of‑the‑art generative planners and conventional optimization baselines on certified motion planning metrics like safety, kinodynamic consistency, and action feasibility.

By Zewen Yang, Xiaobing Dai, Dian Yu, Zhijun Li, Majid Khadiv, Sandra Hirche, Sami Haddadin