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HomeRobots

Tesla Optimus (Gen 3)

Optimus is a 1.73 m humanoid robot with advanced AI, 57 kg weight, capable of autonomous navigation, object manipulation, and versatile industrial and home tasks.
Software Type
Closed Source
Software Package
Tesla’s Full Self-Driving (FSD) adapted for humanoid navigation. Neural networks for perception, planning, and control. Real-time motion planning and environment mapping. Integration with Tesla’s AI and energy ecosystem.
Aparobot Readiness Score
ARS?
0
...
Actuators
Tesla-designed electric actuator, including 11-DoF hands and articulated toes.
Compiute
Powered by Tesla’s Full Self-Driving computer located in the chest, running neural networks and AI models for perception, decision-making, and control.
Sensors
Eight autopilot cameras for visual perception Tactile sensors on fingertips for force and position sensing Foot force/torque sensors for balance and gait control Ultrasonic and other proximity sensors for environment awareness
Max Op. time
mins

Recent Robot Videos

*Aparobot claims no ownership of videos posted unless otherwise stated.
Description text
Date
  1. https://www.youtube.com/watch?v=tRYLSXkcZo8, Optimus Running, 2025-12-03

Robot Brief

Optimus, also known as the Tesla Bot, is the 3rd-gen bipedal humanoid robot developed by Tesla, Inc. to perform general-purpose tasks that are repetitive, dangerous, or undesirable for humans. Standing about 1.73 m tall and designed with proportions similar to a human adult, Optimus integrates Tesla’s electric-drive and AI technologies (including its Full Self-Driving computing stack) to perceive, plan, and act in human environments. Tesla aims for Optimus to operate alongside humans in industrial, commercial, and domestic settings, eventually producing the robot in high volume to unlock new economic value by automating a broad range of activities that would otherwise require human labor.

Use Cases

  • Autonomous navigation:
    Walks and balances in human-scale environments using onboard perception and control systems.
  • Object manipulation:
    Picks up, carries, and manipulates objects with dexterous hands.
  • Perception & decision-making:
    Recognizes objects, people, and hazards using multi-camera vision.
  • Task learning:
    Learns new tasks via neural network training and simulation.
  • Human-robot interaction:
    Can respond to commands and potentially interact in workplaces and homes.

Industries

  • Manufacturing & Automation:
    Assist with material handling, transport, and simple assembly tasks.
  • Warehousing & Logistics:
    Move items, sort products, and reduce labor bottlenecks.
  • Household:
    Performs chores like carrying groceries and cleaning.

Specifications

Length
-
mm
Width
-
mm
Height (ResT)
-
mm
Height (Stand)
-
1730
mm
Height (Min)
-
mm
Height (Max)
-
mm
Weight (With Batt.)
-
62
kg
Weight (NO Batt.)
-
kg
Max Step Height
-
mm
Max Slope
+/-
-
°
Op. Temp (min)
-
°C
Op. Temp (Max)
-
°C
Ingress Rating
-
No items found.

Intro

Tesla’s Optimus (also called the Tesla Bot) is a cutting-edge humanoid robot project designed to transform how humans interact with machines and perform labor-intensive or repetitive tasks. Conceived by Tesla CEO Elon Musk and his engineering team, Optimus embodies Tesla’s vision of general-purpose robotics that can work safely in human environments — from factories and warehouses to homes and public spaces. The robot prioritizes human-like form and movement to navigate environments and operate tools designed for humans, taking advantage of Tesla’s extensive expertise in AI, electric powertrains, sensors, and autonomous navigation systems.

Optimus is built on a bipedal design with two legs, two arms, and a head, optimized to be roughly 1.73 m tall and around 56–62 kg in weight, striking a balance between strength, agility, and safety. Its body integrates lightweight metal and advanced plastics, reducing inertia for more fluid motion while keeping overall weight manageable. Tesla’s engineering extends automotive technology to robotics: the robot’s chassis, battery, and actuators reflect lessons from EV development, while the Full Self-Driving (FSD) computer and neural networks serve as the brain for perception, navigation, and decision-making.

A core objective of Optimus is to handle work that is “boring, repetitive, dangerous, or undesirable” for humans, from transporting materials and sorting objects to potentially performing household tasks in the future. Its hardware, including custom electric actuators, multi-camera vision systems, and tactile sensors, works in concert with Tesla’s proprietary AI and neural networks to interpret and interact with the world in real time. The robot’s mobility systems (walking, balance, terrain adaptation) and manipulation abilities (dexterous hands with multiple degrees of freedom) are engineered to work in spaces designed for humans, giving it an edge in flexibility and adaptability compared with traditional industrial robots.

Tesla has showcased multiple prototype versions (Gen-1, Gen-2 models), each exhibiting progress in locomotion, dexterity, and autonomous control, including bipedal walking, squatting, object sorting by color, and recovering from slips. The robot employs neural network-based motion libraries derived from human motion capture, allowing it to replicate natural human poses and adapt motions for practical tasks. Over time Tesla aims for over-the-air updates and cloud-based training improvements across its fleet, enabling collective learning and scalability.

While Tesla has not yet finalized all commercial specifications, Optimus is intended to enter initial production (likely late 2026–2027) and be deployed in both internal Tesla operations and external markets, with the ultimate goal of mass-producing humanoid robots capable of safe, intelligent work in real environments.

Connectivity

Capabilities

  • Bipedal walking & balance:
    Navigate flat and uneven surfaces.
  • Dexterous manipulation:
    Fine grasping and object handling.
  • Visual perception:
    Environment understanding via multi-camera vision.
  • AI task execution:
    Neural network-driven planning and action.
  • Autonomy & learning:
    Task adaptation through AI learning.
  • Human interaction:
    Responds to commands and situational cues