DuoBench: A Reproducible Benchmark for Bimanual Manipulation in Simulation and the Real World
Bimanual robot systems substantially expand manipulation capabilities, but coordinating two arms introduces additional control complexity and failure modes that are not well captured by existing benchmarks. We introduce DuoBench, an extensible benchmarking framework for bimanual manipulation policies on the FR3 Duo platform. DuoBench comprises eleven tasks spanning four coordination categories, implemented in simulation and partially reproduced in the real world through reproducible task recipes with 3D-printable assets. In addition, we propose a stage-based evaluation scheme that supports fine-grained semantic failure analysis beyond binary success and provide human-teleoperated datasets...
| Authors | Tobias Jülg, Seongjin Bien, Simon Hilber et al. |
|---|---|
| Primary category | cs.RO |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
Connected in the knowledge graph
- kisarakira/duobench_modifyDataset · cited by
- RobotControlStack/duobench_rawDataset · cited by
- RobotControlStack/duobenchDataset · cited by
Models and datasets referencing this paper
- RobotControlStack/duobench_rawDataset
- RobotControlStack/duobenchDataset
- kisarakira/duobench_modifyDataset
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