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This is a roundup of selected robotics videos, not a review of one robot. Two clips in particular feature different things: Google DeepMind’s Gemini Robotics models connect AI perception and instructions to robot actions, while Robust AI’s Carter demonstrates a playful “Jedi Mode” gesture that draws the robot toward a person’s hand.
What is in the video roundup?
IEEE Spectrum’s September 26, 2025, Video Friday: Gemini Robotics, Jedi Mode, More collects selected robotics clips. The collection mixes robots, tasks and kinds of demonstrations, so it is more useful to consider what each clip shows than to treat them as entries on one capability leaderboard.
- Robot form: The roundup spans different kinds of machines, including manipulators, humanoids, quadrupeds and soft robots.
- Task or interaction: A clip may show a robot manipulating an object, moving through an environment or responding to a person.
- Evidence type: A model demonstration, a vendor product demonstration and a research result are not interchangeable. A video shows a selected example; by itself, it does not establish broad reliability, commercial availability or independent validation.
What does Google Gemini Robotics do?
Gemini Robotics is a family of models intended to connect perception, language and reasoning with physical robot action. In its September 2025 announcement, Google DeepMind described Gemini Robotics 1.5 as a vision-language-action model: it takes visual information and instructions and produces robot motor commands. Google said it can reason before acting and transfer skills across different robot embodiments.
Google DeepMind also reported its highest aggregated performance on 15 academic embodied reasoning benchmarks. That is the company’s benchmark claim, not evidence that a robot will reliably complete 15 everyday tasks. Read the full description in Google DeepMind’s Gemini Robotics 1.5 announcement.
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For newer context, Google DeepMind’s July 30, 2026, announcement describes Gemini Robotics 2 as a vision-language-action model translating vision and language into robot motor control, and Gemini Robotics ER 2 as a reasoning model. Model descriptions, access and status can change; these labels reflect the announcement on that date. See Gemini Robotics 2 brings whole body intelligence to robots.
What was Gemini Robotics On-Device?
Google DeepMind introduced Gemini Robotics On-Device on June 24, 2025, as a model optimized to run on the robot rather than relying on a remote connection for every inference. Its announcement reported results across three benchmarks: approximately 0.52–0.74 for the on-device model and 0.60–0.75 for Gemini Robotics, depending on the benchmark. These are separate benchmark results, not single overall success rates or guarantees for real-world tasks. The details are in Google DeepMind’s On-Device announcement.
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What is “Jedi Mode” on the Carter robot?
“Jedi Mode” is the playful title of a separate Robust AI Carter demonstration in the IEEE Spectrum roundup. The clip shows a person making a force-pull gesture and Carter moving toward the person’s hand. The roundup describes it this way: “A simple ‘force pull’ gesture brings Carter straight into her hand.”
This is a vendor demonstration of an interaction technique. It is not a Gemini Robotics demo, a benchmark result or evidence that Google’s models control Carter. The distinction matters: the roundup places multiple robotics videos together, but that does not mean the robots share software or capabilities.
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- Intelligent Programming: This smart robot toy can demonstrating a set of 50 actions inputted by the user.If you switch programming function,this Interactive robot will playback using its moves record feature to repeat the movement one by one as you created like turn left+turn right+walk forward+walk backward+patrol+dance+and many others action mode you selected;
- Premium Material:This Remote Control Robot is made of non-toxic ABS plastic, with flexible multi-joint in shoulder,elbows and thumbs ,and the bottom skating wheels are pretty sturdy to well carry out a various combination of moves;This playful robot really entertain your kids and bring you endless joys;
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How to interpret a robotics video
Look for the specific task, robot and demonstration context before drawing conclusions. A compelling clip can establish that a particular behavior was shown under the conditions of that demonstration; it cannot alone establish how often the behavior works, how the system handles unfamiliar situations, or whether the robot is generally available to buy.
For AI robot clips, distinguish the model’s role from the robot’s hardware and control system. A model may interpret images and instructions or propose actions, while a robot’s other software and hardware execute movement. Unless the video or its accompanying source specifies the arrangement, do not assume a named model controls every action shown.
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Where to find the source videos and model information
- IEEE Spectrum’s September 26, 2025 video roundup identifies the selected clips, including the separate Carter “Jedi Mode” item.
- Google DeepMind’s Gemini Robotics 1.5 announcement describes the model and its reported benchmark result.
- Google DeepMind’s Gemini Robotics On-Device announcement explains the local-device focus and reports its benchmark comparisons.
- Google DeepMind’s July 30, 2026 Gemini Robotics 2 announcement provides the newer model descriptions.
- Google DeepMind’s Gemini Robotics model page provides additional model information.
- Google DeepMind’s March 12, 2025 Gemini Robotics video is an earlier video introduction to the subject.
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