Futures
Access hundreds of perpetual contracts
CFD
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
CFD
Stock CFD Derivatives
US Stocks
Access real US stocks and ETFs
HK Stocks
Trade quality Hong Kong-listed stocks
Korean Stocks
SK Hynix
Real Korean stocks and top assets
Stock Futures
High leverage, 24/7 trading
Tokenized Stocks
Backed by real stock assets
IPO Access
Unlock full access to global stock IPOs
GUSD
3.8%
Mint GUSD for Treasury RWA yields
Stocks Activities
Trade Popular Stocks and Unlock Generous Airdrops
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
𝗛𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗥𝗼𝗯𝗼𝘁𝘀 𝗡𝗲𝗲𝗱 𝗕𝗲𝘁𝘁𝗲𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲, 𝗡𝗼𝘁 𝗝𝘂𝘀𝘁 𝗕𝗲𝘁𝘁𝗲𝗿 𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲
The humanoid robot is one of the most ambitious ideas in robotics because it is designed to operate in environments built for humans. It has the arms, legs, joints, sensors, and processors needed to move through the physical world, but hardware alone does not make a humanoid truly intelligent. A robot can have advanced actuators and impressive mechanical capabilities and still be limited if it cannot understand its surroundings, interpret instructions, plan actions, adapt to unexpected situations, and learn from experience.
This is where the work around @StrikeRobot_ai's humanoid systems becomes particularly interesting. The real challenge is not simply building a robot that can walk, move its arms, or pick up an object. It is giving that robot the ability to understand what it is seeing, why a task needs to be performed, how to approach it, and what to do when the environment does not behave exactly as expected. That requires much more than a powerful body; it requires an intelligence stack capable of connecting perception, reasoning, simulation, data, and action.
A humanoid robot also needs a way to learn without relying entirely on expensive physical experimentation. This is where infrastructure such as SR Platform and SR Agentic becomes important to StrikeRobot's broader vision. Robots can be trained in realistic simulated environments, exposed to different scenarios, tested against unexpected conditions, and improved before those policies are deployed onto physical machines. The goal is to create a continuous relationship between simulation, intelligent reasoning, real-world data, and deployment.
This is why better software may ultimately have a greater impact on a humanoid's capabilities than simply adding more hardware. A hardware upgrade might make a robot stronger, faster, or more precise, but better software can teach that same robot to perform new tasks, understand different environments, respond to unfamiliar situations, and potentially transfer what it has learned across different robotic systems.
The physical body is important, but it is only the vessel the intelligence behind it determines what that body can actually do.
And this is the problem StrikeRobot is working toward: building the infrastructure that can help humanoid robots move beyond simply being machines that imitate the human form and become systems capable of understanding and operating in the world around them.