Welcome to the official GitHub home of Strike Robot. We are a collective of researchers, engineers, and visionaries dedicated to pushing the boundaries of what humanoid machines can achieve.
At Strike Robot, we don't just build hardware; we forge the digital souls and cognitive engines that allow humanoid robots to perceive, reason, and act in the physical world.
"To liberate humanity from peril by deploying intelligent humanoid systems in the world's most demanding environments."
We believe that human potential should not be squandered in hazardous, extreme, or grueling conditions. Our mission is to bridge the gap between advanced AI research and physical reality, creating humanoid robots capable of replacing human presence in high-risk zones—from disaster response and industrial cleanup to deep-sea exploration and beyond.
We operate at the intersection of Embodied AI and Advanced Robotics, specializing in the following domains:
We are developing specialized VLMs that allow robots to understand complex spatial instructions and visual contexts, enabling them to "see" and "interpret" their surroundings just like a human operator.
Our research focuses on seamless imitation learning and teleoperation frameworks. We aim to translate the nuances of human movement and intuition into robust robotic control policies.
We are building end-to-end VLA models that unify perception, reasoning, and motor control. By integrating large-scale multimodal data, our humanoids learn to execute complex tasks with minimal supervision.
To navigate the unpredictability of the real world, our robots utilize World Models to simulate outcomes and Large Language Models for high-level task planning. We are creating agents that don't just react—they predict.
While others focus on controlled laboratory settings, Strike Robot thrives in the unstructured and the extreme. Our development pipeline is geared toward:
- High-Radiation & Chemical Environments: Where human life is at risk.
- Extreme Temperatures: Engineering resilience into every actuator and neuron.
- Search and Rescue: Rapid deployment in unstable, post-disaster scenarios.
- Frameworks: PyTorch, JAX, ROS2, NVIDIA Isaac Sim/Gym.
- Modeling: Transformer-based architectures, Diffusion Policies, Reinforcement Learning.
- Hardware Integration: Custom high-torque actuators, tactile sensors, and edge-computing optimization.
We are always looking for collaborators, researchers, and partners who share our passion for the humanoid revolution.
- Website: https://strikerobot.ai/
- Email: contact@strikerobot.ai
- X: https://x.com/StrikeRobot_ai
"The strike is not just a movement; it is the precision of intelligence meeting the power of action."
© 2026 Strike Robot. Built for the frontier.