Helix is another step closer to conquer the factory jobs. Take a look at Helix, the AI powering Figure 02 (the robot below) in handling of packaging sorting on a supply line.
What is Helix?
Helix is Figure AI’s flagship Vision-Language-Action (VLA) model, launched February 20, 2025. Unlike earlier robotics systems that separate perception, planning, and control, Helix unifies all three in a single neural network. It processes camera inputs and natural-language instructions to generate high-level goals, then drives a low-level controller that outputs continuous torque commands for the robot’s entire upper body—including wrists, fingers, torso, and head—completely onboard low-power GPUs. In short, this means that it uses 2 separate systems, that talks to each other, to manage delicate tasks of interacting with soft and hard objects; carefully.
Why this demo is important?
- Human-level dexterity at speed
In the latest logistics video (published June 8, 2025), Helix-equipped robots handle a wide variety of package types—flat, boxed, crinkly—without re-training. They’ve cut average handling time from ~5.0 seconds per parcel down to 4.31 seconds, edging closer to (and in some cases matching) human operators. - Reliable soft and hard object handling
Figure, the robot in video, demonstrated reliable ability to handle both soft packaging and hard packaging without damaging it nor incurring unnecessary force. - True multi-robot collaboration
The same set of Helix weights runs simultaneously on two humanoids working side by side—coordinating to lift, reorient, and stow groceries in shared storage—without any task-specific fine-tuning. - Zero-shot pick-and-place
Thousands of novel objects—household knickknacks, industrial parts, you name it—are picked up on first encounter, guided only by simple language prompts like “Grab the blue item”. - On-device, real-world readiness
Everything runs onboard embedded GPUs. No cloud latency, no offsite compute. That makes Helix the first truly commercial-ready VLA for real facilities.
Helping the industry
With labor directly affected by geopolitics, local laws, regulations, population decline and the human-induced problems, it's a no-brainer just how robots can be a much better solution to repeatitive tasks as such.
- Alleviate labor shortages: Logistics and warehousing face chronic staffing gaps—robots like these can fill peak-season surges without expensive temp hiring.
- Boost throughput: Faster, consistent package handling cuts bottlenecks on sorting lines and reduces dwell time in fulfillment centers.
- Lower long-term costs: Once deployed, onboard inference slashes cloud-compute bills and centralizes maintenance under one unified software stack.
- Improve safety: Humanoid form factors navigate human-designed facilities—stairs, narrow aisles, conveyor heights—without bespoke fixtures.
Potential problems still ahead
Figure AI released this recent demo video with a whopping timestamp of an hour, while impressive but throughout the video, various mishaps could be observed. But amazing nonetheless.
- Speed vs. humans: At 4.31 s per package, Helix is catching up—but on highly optimized lines, human pickers still edge it out. Further cycle-time reduction is critical.
- Clogging of supply line: In the video you could see a large amount of packages clogging up the line, which were not noticed by the robot. Future improvements and additional robots could help with this issue.
- Maintenance overhead: Humanoid robots have hundreds of moving joints. Repair and part-replacement costs remain high compared to simpler gantry or articulated-arm systems.
- Edge-case robustness: Irregular shapes, deformable items (e.g., bags of produce), and tight bin packing still challenge the vision and grasp planner.
- Regulatory & safety certification: Deploying full-size humanoids around people requires rigorous compliance testing, which can slow rollout.
Which businesses should care?
Any organization wrestling with repetitive pick-and-place or multi-robot coordination stands to gain from adopting a unified VLA like Helix.
- E-commerce & 3PL providers (e.g., Amazon-style fulfillment centers): for dynamic order peaks
- Logistics integrators (FedEx, DHL): to automate parcel sorting and loading
- Retail distribution (grocery, big-box chains): for back-of-house stocking
- Manufacturers with mixed workflows: to handle small-parts kitting in assembly lines
- Hospitality & facilities services: potential down-the-road for room service, housekeeping, and “labour-light” cleaning
We're getting closer to highly reliable humanoid robotics for limited number of factory work, I supposed within the next 3 years, robots like Figure 02 here will be as common as Foldable phones today; you see it here and there but not quite everywhere, yet.