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Strike Robot

@StrikeRobot_ai • 4,075 subscribers

SR Agentic + SR Platform — Build the new normal for robots faster. 📃 https://t.co/mSwShTQQoB 📃 https://t.co/zrm7RXT3eP

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From seeing → to understanding → now to following. In the previous video, we showed how the robot sees and navigates the world. This time, we’ve upgraded SR Agentic — it can now identify a designated person and autonomously follow them in real-time. Powered by perception + reasoning + adaptive navigation, the robot doesn’t just react - it tracks intent and moves with purpose.

From seeing → to understanding → now to following. In the previous video, we showed how the robot sees and navigates the world. This time, we’ve upgraded SR Agentic — it can now identify a designated person and autonomously follow them in real-time. Powered by perception + reasoning + adaptive navigation, the robot doesn’t just react - it tracks intent and moves with purpose.

25,231 görüntüleme

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

21,916 görüntüleme

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Humanoid robotics is the next great labor shift — and the real opportunity is not in the hardware. Strike Robot is now live on Virtuals Protocol — we’re building SR Agentic, a plug-and-play agentic framework for robotics, starting with Unitree G1, enabling autonomous anomaly detection, safety monitoring, and continuous operation in complex environments. AI makes robots intelligent. $SR makes them investable. Every robot. Its own right. Our journey starts today.

Humanoid robotics is the next great labor shift — and the real opportunity is not in the hardware. Strike Robot is now live on Virtuals Protocol — we’re building SR Agentic, a plug-and-play agentic framework for robotics, starting with Unitree G1, enabling autonomous anomaly detection, safety monitoring, and continuous operation in complex environments. AI makes robots intelligent. $SR makes them investable. Every robot. Its own right. Our journey starts today.

100,347 görüntüleme • 2 ay önce

Testing image-to-CAD for SR Platform on a new set of GPUs 🔥 We are working with lium.io (SN51) to showcase the efficiency of decentralized compute for SR Platform — from CAD generation to RL training and sim-to-real validation What it means: > Flexible, on-demand rental for us. Pay with crypto. > Diverse GPU options, powered by Openτensor Foundaτion's incentive alignment. > Lower equipment cost → higher margin for the network. Onchain robots, onchain compute.

Testing image-to-CAD for SR Platform on a new set of GPUs 🔥 We are working with lium.io (SN51) to showcase the efficiency of decentralized compute for SR Platform — from CAD generation to RL training and sim-to-real validation What it means: > Flexible, on-demand rental for us. Pay with crypto. > Diverse GPU options, powered by Openτensor Foundaτion's incentive alignment. > Lower equipment cost → higher margin for the network. Onchain robots, onchain compute.

16,275 görüntüleme • 19 gün önce

Safeguards need to know how to fight too. 🥋 Fast warmup before getting to work — at Eastworlds

Safeguards need to know how to fight too. 🥋 Fast warmup before getting to work — at Eastworlds

21,169 görüntüleme • 2 ay önce

This is how the robot sees the world — straight from its camera + LiDAR. A small use case of StrikeRobot Agentic, showing how agentic systems operate in real scenarios: • Detects the target person via edge-optimized face detection • Detects obstacles in real time • Estimates distance using camera physics (beyond depth sensor limits of Unitree G1) • Plans the shortest path with A* + smooth trajectories using Bezier • Continuously replans as the environment changes ✅ Result: the robot avoids obstacles, optimizes its path, and autonomously moves toward the designated person.

This is how the robot sees the world — straight from its camera + LiDAR. A small use case of StrikeRobot Agentic, showing how agentic systems operate in real scenarios: • Detects the target person via edge-optimized face detection • Detects obstacles in real time • Estimates distance using camera physics (beyond depth sensor limits of Unitree G1) • Plans the shortest path with A* + smooth trajectories using Bezier • Continuously replans as the environment changes ✅ Result: the robot avoids obstacles, optimizes its path, and autonomously moves toward the designated person.

12,333 görüntüleme • 2 ay önce

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