Figure Helix 2.5: humanoids do chores zero-shot in 30 never-seen homes

Description by Gemini, which watched the video:

Summary
Brett Adcock (CEO of Figure) and Corey Lynch (Director of AI at Figure) announce the release of Helix 2.5, a neural network model powering Figure's humanoid robots. The video showcases the robot performing domestic tasks—tidying a living room, making a bed, and folding laundry—in unfamiliar home environments using zero-shot generalization powered by their "Index" human-data pretraining pipeline.

What is shown

• [00:07] Announcement of Helix 2.5.
• [00:39] Task 1: Figure 3 robot picking up scattered children's toys and placing them into a portable basket in an unfamiliar living room.
• [01:18] Task 2: Figure 3 autonomously making a bed, straightening sheets and arranging pillows end-to-end.
• [01:46] Task 3: Figure 3 folding towels on a kitchen/laundry counter and neatly stacking them into a basket.
• [02:24] Map and montage showing evaluations across 30 rented homes throughout the San Francisco Bay Area.
• [04:01] The "Index" data-collection system: workers wearing head-mounted capture rigs gathering first-person manipulation and task data in real-world settings.
• [04:31] Side-by-side comparison experiment demonstrating a failure to grasp an object without Index pretraining versus successful grasping with Index.
• [05:04] Scaling law chart showing a log-linear decrease in validation loss for humanoid robot action prediction as Index pretraining data is doubled (from 1x to 8x).

Claims & numbers

• Helix 2.5 is a single model capable of tidying entire rooms, making beds, and folding laundry in unseen homes without environment-specific training (Corey Lynch).
• Figure tested Helix 2.5 across 30 rented homes across the Bay Area with zero prior data collection in those spaces, reporting success in every home (Brett Adcock and Corey Lynch).
• Over 90,000 people contribute weekly to Figure's Index project (Corey Lynch).
• 35 new minutes of first-person human experience data are uploaded to Index every second (Corey Lynch).
• Pretraining on Index enables "zero-shot whole-body generalization" and establishes a human-to-humanoid-robot transfer scaling law, where validation loss scales predictably down to four decimal points before training runs begin (Corey Lynch).
• Figure is committing $3.5 billion of compute toward training Helix (Corey Lynch).

Notable quotes

• [00:00] "The holy grail for robotics is being able to generalize. This means doing work in unseen places." — Brett Adcock
• [03:30] "In robotics we call this zero-shot whole-body generalization, and it's the first result of its kind." — Corey Lynch
• [05:40] "We're committing to $3.5 billion of compute for Helix." — Corey Lynch

Assessment
This is an official promotional launch video and technical demonstration from Figure. While the video displays smooth autonomous physical manipulation across varied settings, the footage contains rapid jump-cuts, speed-ups, and curated montage clips rather than uninterrupted single-take runs of full task cycles.

Described by gemini-3.8-flash on 2026-09-29 from the video's audio and frames.

Description by Gemini, which watched the video:

Summary
This official demonstration video from Figure showcases their Helix 2.5 AI system controlling humanoid robots (Figure 03) deployed across 30 real homes in the San Francisco Bay Area. A Figure presenter introduces the initiative, followed by nearly four hours of continuous, comprehensive footage of the robots performing autonomous household chores across diverse domestic settings. The video demonstrates real-world generalization across different floor plans, furniture styles, lighting, and everyday objects.

What is shown

• [00:00] Intro presentation: A Figure presenter introduces the testing of Helix 2.5 on Figure 03 humanoids across 30 Bay Area homes.
• [00:10] Living room tidying: In an initial home, a resident scatters objects and throws pillows; the humanoid navigates the space, picks up a fabric bin, squats and bends to gather items from the rug and coffee table, arranges pillows on the couch, and sets the bin down.
• [02:05] Bed-making: A resident messes up bed sheets and pillows; the robot approaches the bed, adjusts and aligns pillows, and walks around the perimeter pulling comforters and duvets flat and taut.
• [03:20] Towel folding: Clean, crumpled dishcloths and towels are placed on a kitchen island; the robot uses bimanual manipulation to spread out, flatten, fold each towel into thirds/halves, and stack them neatly into a woven basket.
• [08:40 – 237:25] Extensive compilation repeating these three standardized household tasks (living room decluttering, bed-making, and countertop towel folding) across 30 distinct homes featuring varied bed dimensions, sofa fabrics, countertop heights, and lighting conditions.

Claims & numbers

• The presenter states that to test Helix 2.5, robots were brought to 30 homes in the Bay Area (00:01).
• The presenter states the video is a compilation demonstrating Figure 03 tidying living rooms, folding towels, and making beds (00:05).

Notable quotes

• "To test Helix 2.5, we brought robots to 30 homes in the Bay Area." [00:01]
• "Here's a compilation of Figure 03 tidying living rooms, folding towels, and making beds just like this." [00:05]

Assessment
This is an official demonstration video providing extended, un-speeded evaluation footage of humanoid robots performing domestic manipulation tasks. The recordings depict natural, continuous execution across dozens of distinct home environments, providing empirical evidence of zero-shot robotic generalization in real-world residential settings.

Described by gemini-3.8-flash on 2026-09-29 from the video's audio and frames.