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Robotics — Robot learning news discovery·· 4 days agoSignalEditorial score75

MIT robot widens one warning to electronics; GPT-4o errs up to 9 of 105 tests

Robot safety commands: MIT robot widens one warning to electronics; GPT-4o errs up to 9 of 105 tests

Summary

Researchers from MIT and New York University have developed FLEX, a system that converts single typed corrections into broader avoidance rules for robots.

Source: Robotics — Robot learning news discovery · 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.

Environment
SimulationOpen source S15

Reported numbers

  • error count

    9

    Reported trials

    View original evidence
    adding is required. USF scores 0.64 on add-only tasks and 0.99 on tasks that need add and mask. The tests used seven 9-by-9 grid navigation scenarios , plus simulated five-stage tasks on a seven-degree-of-freedom Franka arm. Isolated Operations Err in 3.8% to 8.6% of 105 Trials Each The paper's appendix reports a reliability test of each operation alone over 105 trials. Add errs in 8.6% of trials (9 of 105), Generali
    Open source S8
  • error count

    6

    Reported trials

    View original evidence
    ze in 5.7% (6 of 105) and Mask in 3.8% (4 of 105). The errors count both edits applied wrongly and edits wrongly omitted. Two failure cases from the five-stage tasks show what those errors look like. In stage three, an earlier bowl-proximity feature became a spurious correlation that pulled the trajectory toward the bowl until the user typed a command to ignore it. In stage four, the robot behaved correctly with only
    Open source S9
  • error count

    4

    Reported trials

    View original evidence
    ze in 5.7% (6 of 105) and Mask in 3.8% (4 of 105). The errors count both edits applied wrongly and edits wrongly omitted. Two failure cases from the five-stage tasks show what those errors look like. In stage three, an earlier bowl-proximity feature became a spurious correlation that pulled the trajectory toward the bowl until the user typed a command to ignore it. In stage four, the robot behaved correctly with only
    Open source S9
  • trial count

    105 trials

    Reported trials

    View original evidence
    adding is required. USF scores 0.64 on add-only tasks and 0.99 on tasks that need add and mask. The tests used seven 9-by-9 grid navigation scenarios , plus simulated five-stage tasks on a seven-degree-of-freedom Franka arm. Isolated Operations Err in 3.8% to 8.6% of 105 Trials Each The paper's appendix reports a reliability test of each operation alone over 105 trials. Add errs in 8.6% of trials (9 of 105), Generali
    Open source S8
  • paper: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

tended consequences (p = .047), using Holm-adjusted Wilcoxon tests. Against MFE, FLEX rated higher on intent understanding (p = .031), while robustness fell short of significance (p = .074). Ease of use and collaborativity showed no significant differences. The authors state the closed-loop study ran in simulation, supported by hardware feasibility checks, and list a closed-loop user study on physical hardware as fut

Open source S15

MIT and New York University researchers have built FLEX, a system that turns one typed correction, such as a warning about spilling coffee on a laptop, into a broader avoidance rule for a robot, and the accompanying paper shows how often that inference goes wrong: each of its three language-model operations erred in 3.8% to 8.6% of isolated trials. The paper is slated for CoRL 2026 , the Conference on Robot Learning,

Open source S2

ze in 5.7% (6 of 105) and Mask in 3.8% (4 of 105). The errors count both edits applied wrongly and edits wrongly omitted. Two failure cases from the five-stage tasks show what those errors look like. In stage three, an earlier bowl-proximity feature became a spurious correlation that pulled the trajectory toward the bowl until the user typed a command to ignore it. In stage four, the robot behaved correctly with only

Open source S9

adding is required. USF scores 0.64 on add-only tasks and 0.99 on tasks that need add and mask. The tests used seven 9-by-9 grid navigation scenarios , plus simulated five-stage tasks on a seven-degree-of-freedom Franka arm. Isolated Operations Err in 3.8% to 8.6% of 105 Trials Each The paper's appendix reports a reliability test of each operation alone over 105 trials. Add errs in 8.6% of trials (9 of 105), Generali

Open source S8

Source:Robotics — Robot learning news discovery · msn.com

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