A Simple Harness Outperforms VLA and World Action Models
With RoboHarness, Qwen3.8-Flash-Next outperforms state-of-the-art VLA models on BEHAVIOR Challenge 2025 tasks.
With RoboHarness, Qwen3.8-Flash-Next outperforms state-of-the-art VLA models on BEHAVIOR Challenge 2025 tasks.
Puts the robot harness into the coding agent's workspace: the agent freely adds, removes, edits and calls Python tools, reads observations, and can write its own scripts to control the joints.
@misc{qu2026roboharness,
title = {RoboHarness: A Simple Harness Outperforms VLA and World Action Models},
author = {Bince Qu and Wei Chen and Bo Zhang},
year = {2026},
eprint = {2610.14018},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
doi = {10.48550/arXiv.2610.14018},
url = {https://arxiv.org/abs/2610.14018}
}