@FinanceYF5: Cost recipe for humanoid robots: Linear actuators ~30%, Rotary actuators ~25%, Dexterous hands ~20%, AI + vision ~15%, Battery + thermal management <10%. Actuators + hands account for ~75% of the total BOM. High-precision hardware is still the biggest cost.
Summary
The tweet breaks down the cost structure of humanoid robots: linear actuators ~30%, rotary actuators ~25%, dexterous hands ~20%. Actuators and hands together account for ~75% of the total BOM, with high-precision hardware still being the largest cost component.
View Cached Full Text
Cached at: 08/11/26, 03:44 AM
Humanoid robot cost breakdown:
Linear actuators ~30% Rotary actuators ~25% Dexterous hands ~20% AI + Vision ~15% Battery + Thermal management <10%
Actuators + hands account for about 75% of the total BOM.
High-precision hardware remains the biggest cost driver. https://t.co/pBEe6uMh4L
Similar Articles
@46ge5: Let me tell you a little secret. A certain scam robot company stopped investing heavily in R&D because scaling robot algorithms requires extremely expensive data collection and training. They already know they have no hope of creating the GPT of robotics (they've tried various VLAs, world models, and RL, all to no avail).
An anonymous tip reveals that a robot company has abandoned R&D due to the high cost of algorithm scaling and the failure of VLA, world model, and RL approaches. Instead, they are now building large robot toys to fool investors.
@FinanceYF5: The hardest thing for humanoid robots to overcome may not be the factory assembly line, but a ladder. Figure's latest demo: F.03 can now autonomously identify and climb ladders without human control. Such actions test visual judgment, whole-body balance, and hand-foot coordination, meaning humanoid robots are one step closer to entering complex environments like warehouses and construction sites.
Figure demonstrated its F.03 humanoid robot autonomously identifying and climbing a ladder without human control, marking another step forward in the robot's capabilities in complex environments.
@FinanceYF5: The next stage of competition for humanoid robots is not 'who looks more human,' but 'who can do the work' Boston Dynamics' Atlas isn't just picking up a mini-fridge; it's demonstrating how robots use full-body coordination, reinforcement learning, and proprioception to complete heavy lifting tasks that previously required strenuous human effort. The true end is not...
Discusses that the core of the next stage of competition for humanoid robots is no longer about appearance simulation, but about actual work capability. Using Boston Dynamics' Atlas as an example, it showcases full-body coordination, reinforcement learning, and proprioception to complete heavy lifting, emphasizing that the ultimate goal is to replace humans in the most tiring tasks.
@seclink: 人形机器人相关开源 bom, 可以对标着类别看看,然后到 1688 去买... https://docs.menlo.ai/asimov/1/bom
Open source bill of materials for the Asimov 1 humanoid robot DIY kit, with cost breakdown and purchasing guidance via 1688.
@FinanceYF5: How China Cultivated Demand for Humanoid Robots Before a Market Existed? Unitree Robotics demonstrates a strategy: a 'four-step ladder,' each step funding the next. 1. Research sales fund tools and equipment costs. 2. Consumer/commercial markets fund mass manufacturing. 3.…
Unitree Robotics uses a 'four-step ladder' strategy—research sales, consumer/commercial markets, government procurement, industrial pilots—to gradually cultivate demand for humanoid robots, with each step funding and providing infrastructure for the next.