Strike Robot
SRFull-stack humanoid robot platform for hazardous environments
Performances
RD Popularity Index
RD Growth Index
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 0.96% | 5.13% | 5.55% | 47.91% | 55.17% | -- |
Comparison
Top Holders
| Address | Token | Quantity | Percentage | Value |
|---|---|---|---|---|
| 0x2eed...9d65 | ![]() SR | 502,277,612.59 | 50.23% | $250.72K |
| 0xe289...ee8a | ![]() SR | 156,000,000 | 15.6% | $77.87K |
| 0x93e7...075b | ![]() SR | 66,858,287.36 | 6.69% | $33.37K |
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About Strike Robot
StrikeRobot builds data and reasoning infrastructure for embodied AI rather than trading tools. Its premise is that robot intelligence is blocked at both ends: high-quality spatial data for training is scarce, and deployed machines lack real-time, task-shaped spatial understanding. SR Platform turns a natural-language description into a structured scene plan, generates assets through CadQuery, validates the layout and outputs directly executable MuJoCo scenes and training datasets; SR Agentic builds spatial understanding on the fly at runtime so a robot can replan when its surroundings change. The stack calls Venice AI for vision-language reasoning, NVIDIA Isaac Sim and Isaac Lab for reinforcement learning, and Qdrant for vector retrieval and reuse of generated assets.
In May 2026, StrikeRobot partnered with Venice AI, which became its inference API backend, and the same month open-sourced 1,000 MuJoCo scenes and about 46,000 STL meshes on Hugging Face, built around the Unitree G1 humanoid, all physics-validated and shipped in MJCF format. Reppo and Motoniq cover the data layer, while Orboh handles humanoid deployment. The project carries an onchain economic layer inside the Base and Virtuals ecosystems so robots can settle payments as economic actors, placing it in embodied AI infrastructure.
Milestone: On May 7 the project announced a collaboration with Venice to develop a VLM inference layer for robots with funding sponsorship; it has since been linked with Eastworld Labs, Virtuals' embodied-AI accelerator launched Feb 23, and its SafeGuard ASF demo progressed from passive observation to autonomous intervention.
Buyback: The team has repeatedly confirmed buybacks are ongoing; since May SR rose roughly 4x, with market cap around $9M at one point.
In April 2026, Strike Robot launched its $SR token and rolled out SafeGuard ASF (Agentic Security Fleet), built on the Unitree G1 humanoid platform with NVIDIA Jetson Orin compute to close the loop from perception to reasoning to action.
A March 2026 arXiv paper reported fire and smoke detection at 94.2% mAP with 127-millisecond latency using RGB-D plus thermal sensing, 91.5% and 95.9% accuracy on pipeline temperature anomalies and restricted-area intrusion, and over 89% success across simulation and real-world validation; Strike Robot's ToolOrchestra framework integrates 23 specialized tools, moving robots from passive monitoring to active intervention.
Future strategy and roadmap: Strike Robot plans to deploy SafeGuard ASF in nuclear plants, high-voltage facilities and radiation zones, and to bring portable and smaller humanoid form factors to market. The roadmap also covers deeper physical-AI training data work with Virtuals Protocol and Eastworld Labs, plus fleet scheduling for multiple robots and ownership mechanisms for an independent robot economy.

