SignIQ Lab Unveils RoboFinals
The Industrial-Grade Simulation Evaluation Platform that Finally Challenges Frontier Robotics Foundation Models
SignIQ Lab Team • Dec 4, 2025
Today, SignIQ Lab is proud to announce RoboFinals, the industry’s first difficult-enough, industrial-grade, and frontier-model-capable simulation evaluation platform, purpose-built to measure real improvements in robotics foundation models (VLA models) at the cutting edge.
Coming soon, RoboFinals is designed for Frontier Labs, the teams pushing the limits of robotics foundation models and now facing their most urgent bottleneck: the lack of a sufficiently challenging, scalable, and trustworthy benchmark.
Why Frontier Labs Need RoboFinals
Many VLA labs now face the same pattern: their robotics foundation models have outgrown nearly all existing academic simulation benchmarks. Models easily surpass these benchmarks, yet teams still lack a reliable way to understand true capability, measure progress, or compare systems at the frontier.
In response, labs fall back to real-world testing, but this approach does not scale. Unlike autonomous driving, robotics has no “shadow mode” equivalent, and meaningful evaluation requires hundreds of physical setups, continuous equipment maintenance, and strict safety procedures. The result is slow, resource-intensive testing that cannot keep pace with the speed of model development.
Even where simulation benchmarks do exist, they suffer from a deeper structural flaw: tasks are either overly simplified or unrealistically designed. This misalignment prevents teams from treating benchmark performance as a meaningful indicator of real-world behavior, creating a widening trust gap between simulation and deployment.
RoboFinals is built to solve all of these problems, establishing a new industry standard for evaluating frontier-scale robotics models.
The Benchmark: RoboFinals-100
100 Tasks • 3 Embodiments • 4 Physics Engines
At the core of the platform is RoboFinals-100, a 100-task benchmark built on top of SignIQ Lab’s SimReady Asset ecosystem. RoboFinals-100 spans progressive difficulty, high task diversity, and industry-aligned realism.
- ✓Household Tasks: Cleaning, organizing, storage, object placement.
- ✓Factory Tasks: Part handling, assembly, machine interaction.
- ✓Retail Tasks: Restocking, sorting, shelf operations.
A key differentiator is our focus on hard object classes: rigid tools, articulated appliances, and deformable cables/cloth.
The Platform: Scalable, Reproducible, Industry-Grade
Built directly on NVIDIA Isaac Lab — Arena. Co-developed by SignIQ Lab and NVIDIA.
Massive Scale
Batch execution under fully controlled, deterministic conditions.
Cloud & On-Prem
Flexibility to run evaluations in the environment that best fits your needs.
Unified Scoreboard
Consolidated metrics across task types, difficulty levels, and domains.
Multi-Physics
Support for Newton, PhysX, MuJoCo, and Genesis backends.
Real2Sim & Sim2Real Validation
RoboFinals incorporates full Real2Sim calibration across its SimReady asset library, aligning simulated object dynamics with their real-world counterparts. We are building a controlled real-world benchmark to validate RoboFinals outcomes, establishing the industry’s first rigorous Sim–Real correlation dataset.
In Collaboration with Qwen
The Qwen Team is a partner in the development and adoption of RoboFinals. Qwen uses RoboFinals for high-throughput, industry-aligned evaluation of their frontier embodied AI models, enabling them to rapidly iterate and measure real capability gains.
How to Participate
Frontier labs interested in accessing RoboFinals can contact us directly.