HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents
Agents built on vision language models (VLMs) now compete with learned policies on robot manipulation leaderboards.
ProofPaper ↗
Key points
- We ask how far a coding agent can go when it controls a robot instead of a computer, and where it stops.
- Our system, HexaShell, keeps the harness thin: it only turns the agent's commands into robot motion.
- The agent drives a robot with two arms through one command line.
- We use Codex with GPT-6-Astra at medium reasoning effort.
Sources (2)
- [1]HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding AgentsHugging Face Daily Papers · Oct 16, 12:00 AM
Agents built on vision language models (VLMs) now compete with learned policies on robot manipulation leaderboards.
We ask how far a coding agent can go when it controls a robot instead of a computer, and where it stops.
- [2]HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding AgentsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 01:56 PM · same content
Extractive summary: sentences quoted from the sources.
Before this
- Oct 15, 2026Spatial Memory by Agents, for Agents
- Oct 15, 2026openai/codex rust-v0.163.0: 0.163.0
- Oct 15, 2026unslothai/unsloth v0.1.908-beta: NVIDIA Nemotron 3.5 + Meta Muse Spark Open
- Oct 15, 2026On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction
- Oct 15, 2026Improving Environment-Agnostic Coding Agents: The Role of Scaffolding
- Oct 14, 2026mistralai/Timestral-209M