Repository
Benchmarks / Research
pre execution return · distortionlab
Pre-Execution Return studies robot initial-state robustness around frozen VLA policies.
Overview
Pre-Execution Return studies robot initial-state robustness around frozen VLA policies.
Publisher summary: “When Is Robot Initial State a Robustness Problem? Pre-Execution Return Around Frozen Vision-Language-Action Policies”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- distortionlab
- Primary language
- Python
- Repository code license
- MIT
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-10-02
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Overview
- Benchmark Results (Full Protocol, 10,030 Variants)
- Quickstart
- 1. Reproduce Paper Numbers Without GPU or Simulator
- 2. Run the Test Suite
- 3. Check and Compile the Paper
Browse this resource’s categories
Explore related collections
Browse Benchmarks →More in Benchmarks
Repository
Repository
Repository
Repository
Repository
Research
actionshift · Archerkattri
ActionShift evaluates adaptation to hidden robot action-interface contracts on ManiSkill tasks.
Manipulation
Repository
Research
RMBench · RoboTwin-Platform
Memory-Dependent Manipulation Benchmark based on RoboTwin
Manipulation