Tootfinder

A post from the archive 📫:
Easily navigate code delegates
#c#

DB Navigator: Bahn integriert Sharing-Dienste für die letzte Meile in seine App
Die Deutsche Bahn erweitert den Serviceumfang des DB-Navigators und deck nun nicht nur den Fern- und Regionalverkehr, sondern auch die "Letzte Meile" ab.  

A Universal Vehicle-Trailer Navigation System with Neural Kinematics and Online Residual Learning
Yanbo Chen, Yunzhe Tan, Yaojia Wang, Zhengzhe Xu, Junbo Tan, Xueqian Wang
https://arxiv.org/abs/2507.15607

A Universal Vehicle-Trailer Navigation System with Neural Kinematics and Online Residual Learning
Autonomous navigation of vehicle-trailer systems is crucial in environments like airports, supermarkets, and concert venues, where various types of trailers are needed to navigate with different payloads and conditions. However, accurately modeling such systems remains challenging, especially for trailers with castor wheels. In this work, we propose a novel universal vehicle-trailer navigation system that integrates a hybrid nominal kinematic model--combining classical nonholonomic constraints …

Elon Musk reportedly eyeing JD Vance for 2028 as he hits the brakes on plans for a new political party (Patrick Reilly/New York Post)
https://nypost.com/2025/08/20/us-news/elon-musk-pledges-to-start-new-political-party/
http://www.memeorandum.com/250820/p97#a250820p97

Ich hatte gerade ein sehr seltsames Phänomen mit meinem #Garmin #Edge 520:
Mitten in der #Navigation friert alles ein und lässt sich nicht mehr bedienen.
Das einzige, was noch funktioniert hat, war…

Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
Chaoran Xiong, Yulong Huang, Fangwen Yu, Changhao Chen, Yue Wang, Songpengchen Xia, Ling Pei
https://arxiv.org/abs/2508.15354

Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
Embodied navigation (EN) advances traditional navigation by enabling robots to perform complex egocentric tasks through sensing, social, and motion intelligence. In contrast to classic methodologies that rely on explicit localization and pre-defined maps, EN leverages egocentric perception and human-like interaction strategies. This survey introduces a comprehensive EN formulation structured into five stages: Transition, Observation, Fusion, Reward-policy construction, and Action (TOFRA). The T…

Trump to pull US out of UNESCO over DEI policies, pro-Palestinian, pro-China tilt (Diana Nerozzi/New York Post)
https://nypost.com/2025/07/22/us-news/trump-to-pull-us-out-of-unesco-over-dei-policies-pro-palestinian-pro-china-tilt/
http://www.memeorandum.com/250722/p18#a250722p18

Efficient Environment Design for Multi-Robot Navigation via Continuous Control
Jahid Chowdhury Choton, John Woods, William Hsu
https://arxiv.org/abs/2508.14105 https://

Efficient Environment Design for Multi-Robot Navigation via Continuous Control
Multi-robot navigation and path planning in continuous state and action spaces with uncertain environments remains an open challenge. Deep Reinforcement Learning (RL) is one of the most popular paradigms for solving this task, but its real-world application has been limited due to sample inefficiency and long training periods. Moreover, the existing works using RL for multi-robot navigation lack formal guarantees while designing the environment. In this paper, we introduce an efficient and high…

Off-duty CBP officer shot in face during robbery at NYC park by suspect ID'd as illegal migrant, career criminal - who got freed after every bust (New York Post)
https://nypost.com/2025/07/20/us-news/off-duty-border-patrol-agent-shot-in-face-during-nyc-park-robbery-before-striking-back-and-wounding-one-of-his-attackers/
http://www.memeorandum.com/250720/p47#a250720p47

X-Nav: Learning End-to-End Cross-Embodiment Navigation for Mobile Robots
Haitong Wang, Aaron Hao Tan, Angus Fung, Goldie Nejat
https://arxiv.org/abs/2507.14731

X-Nav: Learning End-to-End Cross-Embodiment Navigation for Mobile Robots
Existing navigation methods are primarily designed for specific robot embodiments, limiting their generalizability across diverse robot platforms. In this paper, we introduce X-Nav, a novel framework for end-to-end cross-embodiment navigation where a single unified policy can be deployed across various embodiments for both wheeled and quadrupedal robots. X-Nav consists of two learning stages: 1) multiple expert policies are trained using deep reinforcement learning with privileged observations …