RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
arXiv:2607.04434v1 Announce Type: cross Abstract: Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limited in systematically evaluating their capabilities. Many rely on simple, short-horizon, or skill-narrow tasks with limited capability coverage, and are often conducted only in simulation or only in the real world. Simulation enables scalable feedback but misses physical deployment challenges, while real-world evaluation is costly, time-consuming, and difficult to reproduce. We introduce RoboDojo, a unified sim-and-real benchmark for comprehensive e
The rapid advancement of generalist robot manipulation policies necessitates more comprehensive and unified evaluation benchmarks to accelerate deployment and development.
A unified benchmark like RoboDojo addresses a critical bottleneck in evaluating and comparing advanced robotics, which is essential for translating research into practical applications.
The ability to systematically and reproducibly evaluate generalist robot policies across both simulation and real-world scenarios will significantly accelerate their development and commercial viability.
- · Robotics researchers
- · AI development platforms
- · Automation industries
- · Robot manufacturers
- · Companies relying on narrow, specialized robotic solutions
- · Fragmented robotics testing methodologies
Generalist robot manipulation policies will become more robust and capable due to standardized testing.
Accelerated development of general-purpose robots could lead to new applications across various industries.
The increased capability and accessibility of robots may influence labor markets and supply chain structures.
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Read at arXiv cs.AI