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arXiv Robotics — research abstracts· Anirudh Rangarajan, Bibit Bianchini·· 5 days agoSignalEditorial score75

Vision-Guided Reorientation and Color Sorting of Writing Utensils Using a Low-Cost 4-DoF Arm

Vision-Guided Reorientation and Color Sorting of Writing Utensils Using a Low-Cost 4-DoF Arm

Summary

This research presents a method for using a low-cost four-degree-of-freedom robotic arm to detect, reorient, and color-sort writing utensils without the need for a wrist joint.

Editorial context

The study demonstrates that a low-cost four-degree-of-freedom robotic arm can successfully sort writing utensils by color and orientation using vision-guided reorientation strategies, achieving an 89.8% success rate across 196 trials without requiring a wrist joint.

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

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

Reported numbers

  • trials

    196

    Reported trials

    View original evidence
    dinates to robot coordinates; and a color classifier labels it. The detected orientation angle determines the motion strategy: utensils close to the arm's fixed approach direction are picked up directly, and those at steeper angles are reoriented via corrective sweeps until they are graspable, after which they are picked up and sorted into the assigned color bin. In 196 single-utensil trials, the 98 that started beyo
    Open source S4
  • paper: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

uation, of which a four-DoF arm lacks the wrist rotation. This work uses perception and motion planning so that such an arm, a roughly $200 Waveshare RoArm-M2-S under a fixed overhead camera, can detect and color-sort writing utensils without that joint. A YOLO11n-OBB (You Only Look Once, oriented bounding box) detector locates each writing utensil; camera intrinsics and an ArUco reference pose convert its pixel coor

Open source S3

dinates to robot coordinates; and a color classifier labels it. The detected orientation angle determines the motion strategy: utensils close to the arm's fixed approach direction are picked up directly, and those at steeper angles are reoriented via corrective sweeps until they are graspable, after which they are picked up and sorted into the assigned color bin. In 196 single-utensil trials, the 98 that started beyo

Open source S4

nd 45 degrees from that direction all became graspable within four sweeps (130 total). Overall, 176 (89.8%) ended in the correct bin; 19 of 20 failures were slipped or missed grasps, one a mislabeled color. For the seven utensils tested in this setup, corrective sweeps brought every steeply misaligned utensil into a graspable orientation on an arm with no wrist joint.

Open source S5

Source:arXiv Robotics — research abstracts · arxiv.org

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