Tesla Optimus
Evidence-checked guides to Optimus hardware, perception, autonomy and safety — plus what Tesla's production statements do and do not say about public availability and price.
Tesla Optimus Explained
Six evidence-checked feature guidesSize, Weight and How Much Optimus Can Actually Carry
Evidence-checked analysis of Optimus height, mass, walking payload, deadlift capacity and per-hand grip load, and which of those figures Tesla has actually published.
Walking, Balance and the Joints That Make It Possible
Walking speed, degrees of freedom, joint range, articulated feet, real-time balance and compliant actuation, separated into demonstrated behaviour and stated targets.
Hands, Touch and Whether Optimus Can Use Human Tools
Hand degrees of freedom, fingertip sensing, fragile-object handling and human tool use: what has been demonstrated and what remains a design intention.
Battery, Runtime, Actuators and Self-Charging
The Optimus battery pack, runtime and power draw, custom actuators, torso electronics and autonomous charging, checked against what Tesla has published.
Cameras, Compute and Finding Its Way Around
Vision-only perception, onboard AI compute, spatial mapping, end-to-end neural control, autonomous navigation and the head display, checked against published material.
Teleoperation, Fleet Learning and Working Near People
How Optimus is trained, what error recovery and fleet learning would require, and what human-safe force limits mean for a robot sharing a workspace.
Other pillars
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- Tooling & Integration — How the pieces fit together: editors, build systems, CI, protocols and the day-to-day mechanics of shipping software.
- Workflow Architecture — Designing the loops work happens inside — instruction design, migrations, test-driven cycles and the gates that keep a codebase coherent over time.
- Codex vs Claude — Practical comparisons across execution, security, cost, speed, orchestration, planning, integrations and verification — each examined as a decision a working developer can test.
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- Humanoid Robots — Practical buying guides for commercially offered humanoid robots, separating published specifications from configuration, integration, safety, privacy and procurement obligations.
- ChatGPT vs Grok vs Claude Code — A practical comparison of three increasingly broad AI products across identity, interfaces, files, autonomy, search, coding, media, memory, integration, safety and the work each is best equipped to own.
- Tesla Roadster — Evidence-aware engineering guides to the announced, proposed and prototype Roadster features — separating Tesla's published targets from executive claims, visible concepts, engineering inference and unsupported expectations.
- Tesla Robotaxi — Evidence-checked guides to the live Model Y service and Cybercab — covering autonomy, fleet operations, passenger experience, economics and the future owner-network claim.