HumanoidToolBench: Benchmarking Humanoid Tool Use from Selection to Mobile Execution
Quick summary
arXiv:2610.02089v1 Announce Type: cross Abstract: As robotic hardware and learning methods advance, humanoids need tools to perform tasks beyond their inherent physical limits. Successful tool use requires selecting a suitable tool and coordinating manipulation and, when needed, locomotion to complete the task. Existing benchmarks do not jointly evaluate these capabilities on a humanoid. We introduce HumanoidToolBench, an 18-task benchmark spanning three scenarios, three execution levels, and two tool-set modes, together with ToolBook, a dataset of 3.1k demonstrations collected in simulation a
Key takeaways
- arXiv:2610.02089v1 Announce Type: cross Abstract: As robotic hardware and learning methods advance, humanoids need tools to perform tasks beyond their inherent physical limits.
- Successful tool use requires selecting a suitable tool and coordinating manipulation and, when needed, locomotion to complete the task.
- Existing benchmarks do not jointly evaluate these capabilities on a humanoid.
Why it matters
“HumanoidToolBench: Benchmarking Humanoid Tool Use from Selection to Mobile Execution” is a product decision that may change how people work with AI. Its value depends on task completion, correction effort and data handling—not simply the presence of a new feature.
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