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arXiv Robotics — research abstracts· Donggeon Kim, Hyungho Chris Choi, Donghyuk Choi, Jeongsoo Park, Choongin Lee, Chan Park, Jemin Hwangbo·· 3 hours agoSignalEditorial score75

RAIPAL: A Powerful and Agile Humanoid Arm for Human Tasks

RAIPAL: A Powerful and Agile Humanoid Arm for Human Tasks

Summary

This paper presents RAIPAL, a humanoid manipulator hardware platform designed for human-level performance across diverse tasks ranging from heavy payloads to dynamic motions. Unlike conventional designs targeting uniform workspace capability, the approach derives force, speed, and endurance targets from published measurements of human upper-limb performance. The platform integrates force-oriented upper-arm components, speed-oriented forearm components, and a posture-dependent elbow mechanism driven by planetary actuators. Experimental results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis confirms sustained operation capability exceeds the published human load-duration boundary across nearly the entire load spectrum.

Editorial context

The paper introduces RAIPAL, a humanoid arm designed with human upper-limb performance metrics to guide actuator and mechanism selection, achieving a validated peak payload of 20 kg and an endpoint speed of 20.6 m/s in experimental tests.

Source: arXiv Robotics — research abstracts · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • peak payload

    20

    View original evidence
    results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis further confirms that the robot's sustained operation capability exceeds the published human load--duration boundary across nearly the entire load spectrum. These findings show that hardware targets derived from hu
    Open source S4
  • endpoint speed

    20.6

    View original evidence
    results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis further confirms that the robot's sustained operation capability exceeds the published human load--duration boundary across nearly the entire load spectrum. These findings show that hardware targets derived from hu
    Open source S4
  • mass ratio

    2.25

    View original evidence
    results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis further confirms that the robot's sustained operation capability exceeds the published human load--duration boundary across nearly the entire load spectrum. These findings show that hardware targets derived from hu
    Open source S4
  • payload capacity relative to mass

    2.25

    View original evidence
    results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis further confirms that the robot's sustained operation capability exceeds the published human load--duration boundary across nearly the entire load spectrum. These findings show that hardware targets derived from hu
    Open source S4
  • paper: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

results validate broad task capability, demonstrating a peak payload of 20 kg (2.25x its own mass), an endpoint speed of 20.6 m/s, and continued operation under repeated hammering impacts. Thermal analysis further confirms that the robot's sustained operation capability exceeds the published human load--duration boundary across nearly the entire load spectrum. These findings show that hardware targets derived from hu

Open source S4

Source:arXiv Robotics — research abstracts · arxiv.org

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