HolidayFactory 1.0: Simulating, Generating, and Evaluating Industrial Robot Tasks
HolidayFactory 1.0: Simulating, Generating, and Evaluating Industrial Robot Tasks
This research presents HOLIDAYFACTORY 1.0, a framework designed to simulate, generate, and evaluate industrial robot tasks in persistent environments without resetting scenes. The system includes HOLIDAY-SIM for advanced contact and actuator dynamics, an agentic world construction module for generating simulation assets, and 24/7-BENCH for evaluating seven industrial tasks based on throughput, latency, and energy consumption. Controlled studies validate the contact and tactile models while highlighting current limitations in model critics and the challenges of ensuring generated evaluations accurately reflect task requirements.
The paper introduces HOLIDAYFACTORY 1.0, a framework for simulating and evaluating industrial robot tasks without scene resets, featuring extended contact models and persistent job metrics; however, the authors note that comparisons of policies over persistent runs have not yet been conducted.
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 S1
Reported numbers
industrial tasks
7
View original evidence
semi-implicit primal-dual solver, couples stateful actuator dynamics to articulated motion, and derives tactile and joint observations from simulated states. Agentic world construction generates simulation-ready assets and scene variants using geometric and interaction checks, and proposes task-conditioned evaluations for human confirmation and executable checks. 24/7-BENCH introduces seven industrial tasks in which
Open source S4
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
HolidayFactory 1.0: Simulating, Generating, and Evaluating Industrial Robot Tasks
Open source S1
semi-implicit primal-dual solver, couples stateful actuator dynamics to articulated motion, and derives tactile and joint observations from simulated states. Agentic world construction generates simulation-ready assets and scene variants using geometric and interaction checks, and proposes task-conditioned evaluations for human confirmation and executable checks. 24/7-BENCH introduces seven industrial tasks in which
Open source S4
jobs are evaluated without resetting the scene, measuring completed, failed, and unfinished jobs, throughput, latency, and motor energy. Controlled studies characterize the proposed contact, actuator, and tactile models and examine the effectiveness of verification-guided world construction. Experiments on scene and evaluation generation further reveal the limitations of model critics and the difficulty of ensuring t
Open source S5
hat generated evaluations faithfully capture task requirements. We examine job-level evaluations with scripted trajectories (e.g., code-as-policy) but have not yet compared policies over persistent runs.
Open source S6
Source：arXiv Robotics — research abstracts · arxiv.org