ETA: A New Agentic Paradigm for Embodied Tasks
- Published
- Source
- arXiv
- Paper number
- 810
- Field
- Robotics
- arXiv ID
- 2608.03924
Key points
- It proposes an agent paradigm for robots in a Planner-Tool-World loop, where the robot acts once, observes, and then decides again.
- OpenETA provides interchangeable planners, composable tools, auditable memory, and replayable trajectories in open source.
- Without a VLA, gpt-5.6-Sol alone solves 117 of 130 LIBERO tasks, or 90%, at PASS@5.
- It includes a limited self-evolution mechanism that improves skills by learning from failed trajectories.
- It demonstrates real hardware integration with a UR5e robot arm, showing applicability beyond simulation.
Paper links
External research summaries. These are not HDATF publications or measured product results.