This year marks the beginning of a major surge in robotics, with most robots focusing on superficial tasks, such as grabbing blocks or developing in everyday scenarios.

And @StrikeRobot_ai takes a different approach, positioning itself as "Physical AI BPO" (Physical World AI Business Process Outsourcing), providing end-to-end security services through robots, focusing on autonomous safety inspections and interventions in high-risk industrial environments.
In the past, safety accidents in factories were usually handled by humans wearing protective gear.
With the development of robots, some tasks have already been delegated to robots, but there are still issues, such as complex environments, blocked pathways by wires, sensor interference, and more.
StrikeRobot_ai focuses on solving these problems with AI, enabling robots to operate as "intelligent security guards" with full autonomous workflows:
1. Real-time perception: detecting abnormal heat sources, fires, dynamic hazards, personnel anomalies (thermal imaging + vision).
2. Risk assessment and reasoning: using hybrid AI + safety rules to judge risk levels (ReAct framework).
3. Path planning: safely moving in complex factory layouts, obstacle avoidance, semantic mapping.
4. Physical intervention: automatically performing inspections, alarms, shutting down power/devices; supporting remote manual takeover.
All these processes have been tested countless times in simulators (NVIDIA Isaac Lab + MuJoCo + Text-to-CAD) and are now gradually being transferred to real Unitree G1 hardware.
Overall, Strike Robot is a pragmatic player in the Physical AI track, focusing on "high-risk industrial safety," starting from simulation, community-driven token incentives, with the ultimate goal of turning robots into scalable outsourced safety infrastructure.