Optimus and Figure Compared by Hands, Autonomy and Factory Evidence

Tesla and Figure both present humanoids for industrial work, but their evidence comes from different settings. Tesla primarily shows internal development and factory-related demonstrations; Figure publishes partner programs and its Helix control work. This comparison identifies the exact current generation where documentation allows and avoids transferring specifications from older prototypes. Price, customer delivery and production claims remain separate. The boundary is important because neighboring technologies can share vocabulary while producing different outputs.

This article uses Tesla Optimus vs Figure as the primary search intent and evaluates systems through named versions, documented inputs, outputs, environments and evidence. Sources from Tesla, Figure AI, NVIDIA are prioritized.

The robots combine onboard cameras, proprioception, learned policies and whole-body controllers. Their hands, action models, data pipelines and safety integration differ, but many low-level specifications are not public. The engineering value lies in the interfaces between these stages.

For Tesla Optimus vs Figure, closed-loop execution means observing the result of each command before the next decision. The high-level component described here does not replace robot-specific motor control, collision handling or independent safety limits.

Tesla develops Optimus alongside its manufacturing system. Figure develops its robot and Helix model with external partnerships. Neither company publishes a complete, directly comparable reliability dataset. The systems are not treated as interchangeable.

Question is evaluated through answer Can you buy Tesla Optimus or a Figure robot? is evaluated through neither has a verified general public sales channel with a current complete price. Which has better hands? is evaluated through public demonstrations show evolving dexterity, but no common hand benchmark supports a definitive answer.. Each row records the strongest source-backed statement and keeps missing fields visible.

Factory videos demonstrate physical capability, but autonomy must be classified per task. A filmed sequence does not establish shift-long unsupervised work or paid deployment. Real-system evidence is separated from simulation, internal testing, controlled public demonstrations, pilots and commercial deployment.

For Tesla Optimus vs Figure, the strongest report would name the exact version, task boundary, environment, control method, duration, trial count, intervention rate and recovery behavior. The current public record for Question, Can you buy Tesla Optimus or a Figure robot? does not provide every field, so the article limits each conclusion to the documented setup.

The Tesla Optimus vs Figure comparison uses only fields that can be traced to the cited records. Missing values stay visible instead of receiving estimated scores.

The principal tradeoff in Tesla Optimus vs Figure is between breadth and controllability. The correct design depends on the intended task and acceptable failure response.

Unknown retry counts, edited footage, changing generations, undisclosed teleoperation and absent cycle-time data prevent a definitive performance ranking.

Reporting can create a second failure layer around Tesla Optimus vs Figure. The fact-check therefore labels documentation, real-system evidence, controlled demonstrations, company claims and insufficient evidence separately.

Optimus is most relevant to Tesla’s vertically integrated manufacturing program. Figure offers clearer external-partner positioning and model documentation. A buyer cannot currently select either through a public product checkout. These uses are credible only within the documented task, robot and environment.

A team adopting Tesla Optimus vs Figure should request the exact interfaces and evidence its application needs.

The central unresolved questions are: Which tasks run without intervention for a complete shift?; How many robots operate at external customer sites?; Will either company publish task success and recovery rates?. Answering them requires common protocols, unedited trials and reporting that includes failures rather than only successful sequences.

Future Tesla Optimus vs Figure releases should publish versioned sensor layouts, action spaces, control rates, training or adaptation steps and complete evaluation distributions.