ClaimsRodney Brooks

“To prove the point, they made the robot completely blind”

Rodney Brooks, blog author 15 July 2018 [FoR&AI] Steps Toward Super Intelligence I, How We Got Here (rodneybrooks.com)

Factual AI capabilities

Kim's research team made their legged robot completely blind to show what its low-level reactive behaviours could do.

Mostly true True in substance, wrong in a detail.

Factual: Statements about the present or the past, checked against the record: did they hold up?

The second judge said resolved true; the verdict shown is the first judge's.

What would count as true or false

True if publications or demonstrations by Sangbae Kim's MIT team (the Cheetah 3 robot, 2018) show the robot climbed stairs or obstacles with no vision or exteroceptive sensing ('blind'), and the team presented this as showing what its low-level reactive or proprioceptive control could do. Mostly true if the robot was run blind on stairs but the stated purpose differs a little, or the robot was blind in that demonstration while carrying cameras it was not using. Mostly false if the robot used some limited external sensing in the stair demonstration. False if the evidence shows the robot relied on vision or other external perception for the stair climbing.

Set before the research began.

Evidence (3)

  1. E1 Without eyes, MIT's Cheetah robot moves by feel Axios · 8 July 2018

    “navigating stairs and uneven surfaces guided only by sensors on its feet.”
  2. E2 Without eyes, MIT's Cheetah robot moves by feel Axios · 8 July 2018

    “So his team built a "blind" version in order to focus on tactile sensing.”
  3. E3 Without eyes, MIT's Cheetah robot moves by feel Axios · 8 July 2018

    “Kim's team plans to add cameras back onto the Cheetah in order to help it get around complex environments.”

Reasoning

Axios, an independent source, reports that MIT's Cheetah robot climbed stairs and crossed uneven ground "guided only by sensors on its feet" (E1). It also reports that Kim's team deliberately built a "blind" version "to focus on tactile sensing" (E2), and that the team planned to add cameras back later (E3). This supports the claim that the robot was run blind on stairs to show its touch-based control. However, the stated purpose (focusing on tactile sensing) differs slightly from demonstrating reactive low-level behaviours, and all three quotes come from a single news report rather than the team's own publication.

Cite this claim

Rodney Brooks, “Kim's research team made their legged robot completely blind to show what its low-level reactive behaviours could do.” (said 15 July 2018). Verdict: mostly true. Reliability API, claim c_bdf327a73918, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_bdf327a73918

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Rodney Brooks, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Rodney Brooks

  1. Mostly true Factual 1 January 2026
    “But since 1991 I have made a distinction between two concepts where a machine, or creature can be either, neither, or both situated and embodied.”

    Since 1991 Brooks has distinguished between situatedness and embodiment as two separate properties a machine or creature can have.

  2. Mostly true Factual 1 January 2026
    “Once the pick orientation and vacuum gripper selection has been made it is really an open loop as all the work is done by the indiscriminate force of suction and the mutual compliance of the gripper…”

    Once pick orientation and vacuum gripper are selected, suction grasping is open loop, relying on suction force and compliance of gripper and object.

  3. Mostly true Factual 1 January 2025
    “Each column from bottom to top is a pure feed forward network, with no search, no iteration, no conventional algorithm at all.”

    In the 2017 'Attention Is All You Need' transformer architecture, each column from bottom to top is a pure feed-forward network with no search, iteration or conventional algorithm.

  4. Mostly true Factual 1 January 2024
    “By March of 2023, it was clear that the next big thing had arrived in AI, and that it was Large Language Models.”

    By March 2023 it was clear that large language models were the next big thing in AI.

  5. Resolved true Factual 18 April 2023
    “@yejinchoinka is providing a “common sense” rebuttal on the @TED stage.”

    Yejin Choi gave a "common sense" rebuttal on the TED stage in April 2023.

All of them

Verdicts are made automatically; how verdicts are made.