HUMANOID BOM: The Cost Layer of the Robot Economy What is HUMANOID BOM? BOM = Bill of Materials. In humanoid robotics, the BOM represents the complete physical cost structure required to build one humanoid robot. Think: Compute Cameras, LiDAR, IMUs and force sensors Motors, actuators and gearboxes Batteries and battery-management systems Frames, joints, hands and feet PCBs, wiring and motor controllers Connectivity and communications hardware Manufacturing and assembly inputs Why does this matter? Because the humanoid BOM may determine whether humanoids become a mass-market technology or remain expensive prototypes. Imagine: $20K BOM → $30K robot versus: $12K BOM → $30K robot That difference can completely change the economics of manufacturing, leasing and deploying humanoids at scale. And this is where things get particularly interesting. Humanoids share major technology and supply-chain intersections with EVs: Battery cells Power electronics Electric motors Controllers Advanced manufacturing Global component supply chains As humanoid production scales, the industry will need increasingly sophisticated ways to track, benchmark and optimize the cost of every component. That creates a potential infrastructure category: HUMANOID BOM Imagine a future platform tracking: → Actuator costs → Battery costs → Compute costs → Sensor costs → Joint and gearbox costs → Manufacturing costs → Supplier ecosystems → BOM comparisons between humanoid platforms → Cost reductions as production scales → Estimated cost per humanoid generation The EV industry developed enormous ecosystems around vehicle specifications, component costs and manufacturing economics. Humanoids may develop something similar. That makes an interesting digital asset for the emerging humanoid economy. Not simply a domain. A potential address for the cost-intelligence layer of humanoid robotics. As the industry moves from prototypes to production to millions of units, one question becomes increasingly important: What does it actually cost to build a humanoid? HUMANOID BOM could become the place where that question gets answered. #HumanoidRobots# #HumanoidBOM# #Robotics# #PhysicalAI# #EmbodiedAI# #HumanoidAI# #RoboticsIndustry# #Manufacturing# #EV# #ArtificialIntelligence# #RobotEconomy# #FutureOfRobotics#

Humanoid AI models are hungry for diverse egocentric data with high-quality hand pose annotations. Ropedia's HOMIE Gen2 targets that demand. A 380g headset that captures 360° from four cameras plus four-channel spatial audio, and outputs depth maps, camera poses, 21 hand and 52 body keypoints, 3D scene reconstruction, and task annotations, all synced to 50 microseconds. High precision: Hand keypoint accuracy at 4.68mm. Action labels are auto-generated and 96% accurate. 13 hours of continuous capture, no external rig. @ropedia_ai

Here’s what I’m watching tonight: 4 hours of Figure 03 robots doing home chores. Long, uncut scenes of housework in 30 different homes. Figure introduced Helix 2.5, its most advanced humanoid AI yet, built to answer one question: can a humanoid walk into a home it has never seen and get to work on its own? The setup One foundation model pretrained on Index, Figure’s global dataset of human behavior, then fine-tuned into three whole-body behaviors: tidying living rooms, folding towels, and making beds. Tested across 30 Bay Area homes with zero data collected in any of them, and with objects it had never seen. Results • 56% zero-shot success vs. 9% trained from scratch. Index pretraining was the only variable. • No partial credit in success rate. Every toy in the basket, every towel folded, the whole bed made. • Half the task data of a comparable Helix 02 behavior, and 30× wider generalization. • A human-to-robot transfer scaling law: doubling Index data improved action prediction predictably enough to forecast the largest run’s loss to four decimals. • Whole-body self-correction. The robot steps back, repositions, and walks around the bed to fix a fold. Index now generates ~35 minutes of new human experience every second, and Figure has committed $3.5B of compute to Helix.

Presenting DreamControl at ICRA 2026 today! 💫 @DvijKalaria, @pushkalkatara and Sangkyung Kwak will present our workflow for building whole-body humanoid AI skills — combining diffusion models and RL to train skills without expensive real-world data collection. 17:35 – 17:45 | Session WeBT3 | Lehar 1-4 More about DreamControl: #ICRA2026# #DreamControl# #Humanoid# #PhysicalAI#

Goldman Sachs just quintupled its robot forecast and Morgan Stanley thinks even that is far too conservative (Save this). Goldman's old base case called for 1.4 million humanoid units in 2035 and the new one calls for 6.48 million. The 2030 estimate jumped from 256,000 to 890,000 units, putting the 2035 market around $138 billion versus $38 billion before. Morgan Stanley models a different universe entirely, with 24.4 million units installed by 2036 and 1 billion by 2050 worth about $7.5 trillion in annual revenue. The revision happened because the economics crossed a line because average unit prices are expected to fall from $41,800 in 2025 to $21,300 in 2035. Goldman sees e commerce warehouses as the earliest deployment, followed by auto production lines, with Amazon and Walmart leading. Amazon's automation program alone should save about $72 billion cumulatively from 2026 to 2030, adding roughly 240 basis points to group EBIT margin. The labor math explains why the long term numbers get so large because about 75% of US occupations and 40% of employees have some degree of humanoidability, implying roughly 63 million units and a $3 trillion market in the US alone. China is projected to hold about 302 million units by 2050 versus 77.7 million in the US, making this a geopolitical race too. Now here is some of the best positioned names sit one layer below the robot brands. Goldman named Toyota, Honda, Mitsubishi Motors, JTEKT, Aisin, MinebeaMitsumi, Renesas, Harmonic Drive, NEC, and Fujitsu as beneficiaries. Component and reducer makers like Harmonic Drive, Leader Harmonious Drive, and Shuanghuan carry buy or outperform ratings from Deutsche Bank, Bernstein, and UBS. Semis benefit directly, since each robot carries $3,000 to more than $6,000 of chip content across Nvidia, Renesas, and Teradyne. If you want ETF exposure runs through KOID as a broad physical AI basket and HUMN, which leans toward UBTech, Tesla, Harmonic Drive, and Hyundai. Suppliers are the cleaner bet here because no single robot brand will dominate and Goldman thinks Toyota alone could build 190,000 to 540,000 units in 2035, or just 3% to 8% global share. That fragmentation means demand for reducers, bearings, and actuators rises no matter who wins and Morgan Stanley notes the bar is now shifting to reliability, yield, and manufacturing scale, which favors proven incumbents. Bullish on humanoid robotics and especially the suppliers behind the buildout. If you enjoyed reading this, make sure to follow @MelvinInvests for more robotics and AI insights And if you want to see exactly what I'm buying as an analyst at Milk Road Pro, you can join for just $1 using the link below.

**At night beneath an ancient tree, multiple pale humanoids with hollow eyes and unnatural postures stand motionless before slowly moving through the darkness. The chilling footage captures their eerie presence with disturbing clarity. Are these unidentified forest entities, something supernatural, or a sophisticated visual hoax? The encounter has sent shockwaves through those brave enough to watch.** #ForestEntities# #NightMystery# #HumanoidSighting# #Cryptid# #ParanormalActivity# #AncientMysteries# #ViralTruth#

**A mysterious humanoid with unnatural skin texture walks slowly across a forest river, its movement deliberate and otherworldly. Caught in the heart of the wilderness, the figure appears almost alien in its form. Is this an undiscovered species, a person in elaborate costume, or something far more disturbing? The clarity of the sighting has the internet demanding answers.** #HumanoidSighting# #ForestMystery# #Cryptid# #UnidentifiedBeing# #AncientMysteries# #RealOrHoax# #ViralTruth#

Humanoid robots like Abi, built by Andromeda to provide emotional companionship for dementia patients, are an early attempt to ease the elder care crisis. For more, watch Wall Street Week

Humanoid robots working on factory floors, AI models challenging global rivals and electric-vehicle plants churning out cars at breathtaking scale are drawing a new wave of foreign visitors to China