Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Black Box:
🎵 Everybody Everybody
#BlackBox
https://edit-mix.bandcamp.com/track/black-box-everybody-everybody-hot-mix-118-bpm
https://open.spotify.com/track/6wBMTv8yTiNh50fqTkT0JC

Dinge, die irgendwie zusammen gehören.
📷 @inderwedding

Ich habe heute durch Zufall Mobilizon auf tchncs.de entdeckt, eine Fediverse Platform für Veranstaltungen. Richtig gut, mit Kalender-Feed, RSS-Feed und Webinterface.
Habe direkt mal eine Gruppe für Fahrrad Termine in Bremen angelegt: https://events.tchncs.de/@fahrradkultur_bremen…

Fahrradkultur Bremen
Veranstaltungen und Termine rund um das Thema Fahrrad und Mobilitätswende in und um Bremen.

🇺🇦 #NowPlaying on KEXP's #MiddayShow
De Lux:
🎵 Marquee Moon
#DeLux
https://innovativeleisure.bandcamp.com/track/marquee-moon
https://open.spotify.com/track/2w0fpE3HnTrlstLut4SANX

Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface
Dewei Wang, Chenjia Ba, Chenhui Li, Jiyuan Shi, Yan Ding, Chi Zhang, Bin Zhao
https://arxiv.org/abs/2506.21853

Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface
Quadrupedal robots have demonstrated exceptional locomotion capabilities through Reinforcement Learning (RL), including extreme parkour maneuvers. However, integrating locomotion skills with navigation in quadrupedal robots has not been fully investigated, which holds promise for enhancing long-distance movement capabilities. In this paper, we propose Skill-Nav, a method that incorporates quadrupedal locomotion skills into a hierarchical navigation framework using waypoints as an interface. Spe…

A tangible user interface for assessing cognitive mapping ability
Ehud Sharlin, Benjamin Watson, Steve Sutphen, Lili Liu, Robert Lederer, John Frazer
https://arxiv.org/abs/2506.22597

A tangible user interface for assessing cognitive mapping ability
Wayfinding, the ability to recall the environment and navigate through it, is an essential cognitive skill relied upon almost every day in a person's life. A crucial component of wayfinding is the construction of cognitive maps, mental representations of the environments through which a person travels. Age, disease or injury can severely affect cognitive mapping, making assessment of this basic survival skill particularly important to clinicians and therapists. Cognitive mapping has also been t…

Your Fairy Webmother
Great Australian Pods Podcast Directory: #GreatAusPods

Data-Driven Motion Planning for Uncertain Nonlinear Systems
Babak Esmaeili, Hamidreza Modares, Stefano Di Cairano
https://arxiv.org/abs/2508.00154 https://…

Data-Driven Motion Planning for Uncertain Nonlinear Systems
This paper proposes a data-driven motion-planning framework for nonlinear systems that constructs a sequence of overlapping invariant polytopes. Around each randomly sampled waypoint, the algorithm identifies a convex admissible region and solves data-driven linear-matrix-inequality problems to learn several ellipsoidal invariant sets together with their local state-feedback gains. The convex hull of these ellipsoids, still invariant under a piece-wise-affine controller obtained by interpolatin…

Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
Mahmoud Ghorab, Matthias Lorenzen
https://arxiv.org/abs/2507.23350 h…

Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
There is a growing demand for autonomous mobile robots capable of navigating unstructured agricultural environments. Tasks such as weed control in meadows require efficient path planning through an unordered set of coordinates while minimizing travel distance and adhering to curvature constraints to prevent soil damage and protect vegetation. This paper presents an integrated navigation framework combining a global path planner based on the Dubins Traveling Salesman Problem (DTSP) with a Nonlin…

cVLA: Towards Efficient Camera-Space VLAs
Max Argus, Jelena Bratulic, Houman Masnavi, Maxim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox
https://arxiv.org/abs/2507.02190

cVLA: Towards Efficient Camera-Space VLAs
Vision-Language-Action (VLA) models offer a compelling framework for tackling complex robotic manipulation tasks, but they are often expensive to train. In this paper, we propose a novel VLA approach that leverages the competitive performance of Vision Language Models (VLMs) on 2D images to directly infer robot end-effector poses in image frame coordinates. Unlike prior VLA models that output low-level controls, our model predicts trajectory waypoints, making it both more efficient to train and…