Comparable Metrics
Benchmarks are grouped for apples-to-apples performance checks.
Robot Learning Benchmarks
Standardized evaluation for robot manipulation — RLBench, LIBERO, CALVIN, and more. Success rates, task completion, evaluation metrics.
Robotics Benchmark LeaderboardsLive
Real-time rankings from Papers with Code, updated daily across manipulation, locomotion, and navigation tasks.
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Benchmarks for Manipulation
2 benchmarks match current filters.
Simulation
RLBench
Simulationmanipulationtask-suite
100+ manipulation tasks in PyRep. Widely used for VLA evaluation. BridgeVLA 88.2%, InternVLA 95%+ on subsets.
View benchmark →SimulationLIBERO
Simulationlifelong-learningmanipulation
Lifelong learning benchmark. 130 tasks, spatial/object/goal suites. RoboSuite. 95.9% SOTA (InternVLA).
View benchmark →Suggested Models & Datasets
Suggested stack for “simulation”.
Real vs Sim Coverage
Evaluate both controlled and deployment-oriented settings.
Model Mapping
Each benchmark path links to compatible model families.
Execution Support
Support for data capture and evaluation operations when needed.
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Continue the loop
Benchmarks compare policies in sim; our eval loop scores them on physical rigs.