Humanoid Press — Edition II

HUMANOID PRESS

International News • Investigations • Technology

EDITION II • DECEMBER 2025
Special Feature

Humanoid Robotics Reaches Commercial Deployment Phase

Industry leaders demonstrate advanced autonomous capabilities as humanoid robots transition from research laboratories to real-world manufacturing and logistics applications.

The humanoid robotics sector is experiencing a transformative moment as multiple companies advance toward commercial deployment. Boston Dynamics' fully electric Atlas robot, Tesla's Optimus program, and Figure AI's partnerships with BMW mark a decisive shift from demonstration projects to practical industrial integration. These developments represent decades of research converging with recent advances in artificial intelligence and machine learning.

"The convergence of advanced AI with robust mechanical platforms is enabling capabilities previously confined to science fiction."

Tesla has confirmed plans to produce approximately 5,000 Optimus units in 2025 for internal factory operations, with CEO Elon Musk projecting prices between $20,000 and $30,000 once mass production scales. Meanwhile, Boston Dynamics unveiled its redesigned electric Atlas in April 2024, retiring the hydraulic version after a decade of development. The new platform demonstrates enhanced strength, expanded range of motion beyond human capabilities, and improved manipulation through advanced machine learning vision models.

Figure AI has secured $675 million in funding from investors including OpenAI, Microsoft, Nvidia, and Jeff Bezos, achieving a $2.6 billion valuation. The company's Figure 02 robot has completed testing at BMW's Spartanburg facility, where it demonstrated a 400% speed increase and sevenfold improvement in success rates for sheet metal insertion tasks. These metrics suggest that commercial viability for specific industrial applications may be closer than many analysts previously estimated.

Manufacturing

CATL Deploys Humanoid Robots at Battery Facility

Chinese battery manufacturer CATL announced the world's first large-scale implementation of humanoid robots in production. The Xiaomo robots, developed by Spirit AI, achieved 99% task success rates handling plug connections and quality inspections at battery pack assembly lines, with daily workload triple that of human workers due to continuous operation.

Research

Boston Dynamics Atlas Demonstrates Autonomous Object Manipulation

The fully electric Atlas robot completed autonomous engine cover sorting tasks using machine learning vision models for real-time environmental perception. The system continuously updates its understanding of workspace fixtures and adapts to changes, including unexpected object placements, without human intervention or teleoperation.

Technology

Tesla Optimus Achieves Neural Network Integration

Tesla demonstrated Optimus performing household tasks including object manipulation, navigation, and tool use through a single neural network trained via reinforcement learning. The system learns from first-person human video data, enabling rapid skill acquisition without explicit programming for each task variation.

Industry

Figure AI Secures $675 Million in Strategic Funding

Figure AI completed a Series B funding round led by OpenAI, Microsoft, Nvidia, and Jeff Bezos, reaching a $2.6 billion valuation. The capital will support expanded production capabilities and deeper integration of OpenAI's language models for natural speech interaction and autonomous decision-making in industrial environments.

Partnership

BMW Tests Figure 02 in Automotive Production

BMW's Spartanburg facility completed initial trials of Figure 02 humanoid robots, with the company reporting significant improvements in complex manipulation tasks. Figure 02 demonstrated the ability to handle difficult sheet metal parts while avoiding collisions, completing up to 1,000 precise placements per day during testing phases.

Development

Optimus Production Line Operational at Tesla Fremont

Tesla confirmed its Fremont factory produced the first Optimus robots from dedicated production lines. The company aims to manufacture between 5,000 and 12,000 units in 2025 for deployment within Tesla facilities, focusing on tasks currently performed by human workers in manufacturing operations.

Live Development Coverage

Atlas Autonomous Work

Atlas Parkour

Technical Analysis of Current Capabilities

Boston Dynamics' electric Atlas represents a significant architectural shift from hydraulic actuation to fully electric systems. This transition enables higher precision, reduced maintenance requirements, and improved energy efficiency. The robot's continuous rotation joints allow movements exceeding human range of motion, particularly evident in the torso and hip assemblies where 360-degree rotation capabilities facilitate unconventional but highly efficient manipulation strategies.

The machine learning vision models deployed in current-generation humanoids process RGB camera inputs to generate real-time environmental maps. These systems employ learned keypoint prediction models for fixture recognition and CAD-based pose estimation for known objects. Critically, the robots maintain and update these representations dynamically, enabling adaptation to workspace modifications without manual recalibration.

Tesla's approach emphasizes data-driven learning through massive video datasets. By training neural networks on first-person human demonstrations, Optimus acquires task competencies through observation rather than explicit programming. This methodology mirrors Tesla's autonomous vehicle development philosophy, leveraging scale and iteration to improve performance metrics across diverse operational scenarios.

Figure AI's integration of OpenAI's language models enables speech-to-speech interaction, allowing operators to issue verbal commands and receive natural language responses. The system processes audio inputs through embedded microphones, executes reasoning through specialized AI models, and generates speech outputs through integrated speakers. This multimodal approach suggests future industrial robots may require minimal technical training for human operators to direct complex task sequences.

© 2026 Humanoid Press — Edition II — All Rights Reserved
Humanoid Press Footer