Benchmark exposes gap between choosing tools and using them

HumanoidToolBench tests whether robots can select, grasp and deploy tools while stationary or moving, in simulation and on a real humanoid.

Big Tech
Kyochul Jang · Seohyeon Park · Ohchul Kwon · Sangjun Park · Junhyeok Choi · Seungyeop Yi · +6 more

Seoul National University · University of Massachusetts Amherst · Google Research

Research Digest··2 min read
The authors introduce an 18-task benchmark that evaluates humanoid tool use as an end-to-end process, rather than treating recognition, manipulation and locomotion separately.

HumanoidToolBench organizes 18 tasks across three scenarios and three execution levels, covering tool selection, stationary use and mobile execution.

Why this paper

From Google Research and 2 others

In one line

HumanoidToolBench reveals gaps between tool selection and task execution in humanoid policies.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§
newspaper

Research Digest

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.