arXiv Robotics — research abstracts· Juho Kalliokoski, Evan G. Center, Steven M. LaValle, Timo Ojala, Basak Sakcak·2026-11-03 05:00 UTC· 1 days agoSignalEditorial score75

TRAILS: Trajectory Generation for Automated Indoor Locomotion Studies

Summary

This paper presents TRAILS, an automated framework that generates complete virtual navigation scenarios including environment layouts, paths, and time-parameterized motion profiles.

Editorial context

The paper introduces TRAILS, an algorithmic framework for generating diverse virtual navigation scenarios with kinematically constrained trajectories, intended to support telepresence and human-subject experiments in robotics research.

Source: arXiv Robotics — research abstracts · Read original article ↗

Loading article text…

What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Environment: SimulationOpen source S2

code: Available Artifact link Open source S6

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

arXiv:2611.03254v1 Announce Type: new Abstract: Virtual reality experiments involving navigation and simulated robot motion often require large, realistic environments and numerous distinct trajectories to avoid repetitive navigation while providing sufficient variation for controlled experiments. Designing such scenarios manually is labor-intensive, particularly when trajectories must satisfy predefined geometric an
Open source S2

for telepresence and human-subject experiments. The code is available at https://github.com/JucciK/Trails .
Open source S6

Source：arXiv Robotics — research abstracts · arxiv.org

#Other #World models #Sim-to-real