Tootfinder

Model Predictive Path-Following Control for a Quadrotor
David Leprich, Mario Rosenfelder, Mario Hermle, Jingshan Chen, Peter Eberhard
https://arxiv.org/abs/2506.15447

Model Predictive Path-Following Control for a Quadrotor
Automating drone-assisted processes is a complex task. Many solutions rely on trajectory generation and tracking, whereas in contrast, path-following control is a particularly promising approach, offering an intuitive and natural approach to automate tasks for drones and other vehicles. While different solutions to the path-following problem have been proposed, most of them lack the capability to explicitly handle state and input constraints, are formulated in a conservative two-stage approach,…

Ball path curvature and in-game free throw shooting proficiency in the National Basketball Association
Ruoqian Zhu, Dave Love, Scott Powers
https://arxiv.org/abs/2506.13779

Ball path curvature and in-game free throw shooting proficiency in the National Basketball Association
Basketball shooting coaches agree that smoother shooting motions are better, but there is less agreement about what "smooth" means quantitatively or what part of the shooting motion needs to be smooth. Using ball tracking data from the 2023-2024 National Basketball Association regular season, we explore the relationship between ball path curvature and free throw shooting performance. We fit Bézier curves to the ball tracking data in the sagittal plane and test different methods of calculating …

Germany vows to pursue 'every path' to boost Ukraine's air defenses, FM Wadephul says in Kyiv: https://benborges.xyz/2025/06/30/germany-vows-to-pursue-every.html

A nonlinear dead-time compensation method for path tracking control
Karin Festl, Michael Stolz
https://arxiv.org/abs/2507.06935 https://

A nonlinear dead-time compensation method for path tracking control
In the realm of autonomous vehicle technologies and advanced driver assistance systems, precise and reliable path tracking controllers are vital for safe and efficient navigation. However the presence of dead time in the vehicle control systems poses a challenge to real-world systems. Input and output delays are caused by factors like sensor processing and mechanical response and can range up to a few hundred milliseconds. This chapter addresses the problem of dead time in path tracking control…

A Learning-based Planning and Control Framework for Inertia Drift Vehicles
Bei Zhou, Zhouheng Li, Lei Xie, Hongye Su, Johannes Betz
https://arxiv.org/abs/2507.05748

A Learning-based Planning and Control Framework for Inertia Drift Vehicles
Inertia drift is a transitional maneuver between two sustained drift stages in opposite directions, which provides valuable insights for navigating consecutive sharp corners for autonomous racing.However, this can be a challenging scenario for the drift controller to handle rapid transitions between opposing sideslip angles while maintaining accurate path tracking. Moreover, accurate drift control depends on a high-fidelity vehicle model to derive drift equilibrium points and predict vehicle st…

Replaced article(s) found for cs.SC. https://arxiv.org/list/cs.SC/new/
[1/1]:
Certified algebraic curve projections by path tracking
https://…

I get why browsers don’t support native markdown — then where would all the ads and tracking go? But it kind of makes me want to make a minimal little browser that registers for mdtp:// and just renders markdown fetched via http. Probably wouldn’t be viable without the ability to detect the presence of an installed app that handles it and a graceful fallback path, sadly.

Ukraine's Constitutional Court appointments: A test of EU commitment: https://benborges.xyz/2025/07/02/ukraines-constitutional-court-appointments-a.html

Want to invest in Ukrainian startups from the US? This platform promises to be the bridge: https://benborges.xyz/2025/07/01/want-to-invest-in-ukrainian.html

This https://arxiv.org/abs/2505.20455 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval
We hand the community HAND, a simple and time-efficient method for teaching robots new manipulation tasks through human hand demonstrations. Instead of relying on task-specific robot demonstrations collected via teleoperation, HAND uses easy-to-provide hand demonstrations to retrieve relevant behaviors from task-agnostic robot play data. Using a visual tracking pipeline, HAND extracts the motion of the human hand from the hand demonstration and retrieves robot sub-trajectories in two stages: fi…

Swinging, Fast and Slow: Interpreting variation in baseball swing tracking metrics
Scott Powers, Ronald Yurko
https://arxiv.org/abs/2507.01238 https://

Swinging, Fast and Slow: Interpreting variation in baseball swing tracking metrics
In 2024, Major League Baseball released new bat tracking data, reporting swing-by-swing bat speed and swing length measured at the point of contact. While exciting, the data present challenges for their interpretation. The timing of the batter's swing relative to the pitch determines the point of measurement relative to the full swing path. The relationship between swing metrics and swing outcomes is confounded by the batter's pitch recognition. We introduce a framework for interpreting bat tra…