Building foundation models that bring AI into the physical world. Our robots don't just execute commands—they learn, adapt, and evolve through real-world interaction.
A unified robotics platform powered by cutting-edge AI, designed for real-world deployment
Vision-Language-Action (VLA) models trained on diverse robotic tasks. Our π-Zero model learns from internet-scale data and real-world robot interactions to achieve unprecedented generalization.
Deep Reinforcement Learning algorithms (PPO, SAC, TD3) enable continuous improvement through real-world experience. Sim-to-real transfer with domain randomization for robust deployment.
Dexterous grasping and object interaction
Autonomous path planning and obstacle avoidance
3D scene understanding and object recognition
Task planning and decision-making
Leveraging proven technologies for reliability, performance, and scalability
Distributed middleware for robot communication and control. Real-time capabilities with DDS and modern C++/Python APIs.
State-of-the-art RL algorithms for continuous control. PyTorch-based training with GPU acceleration.
Ubuntu 22.04 with RT-PREEMPT kernel. Deterministic scheduling for critical control loops.
Custom accelerators for neural network inference. Energy-efficient compute for edge deployment.
RGBD cameras, LiDAR, IMU fusion
Model Predictive Control, PID tuning
Motor controllers, force sensors, grippers
Pushing the boundaries of physical intelligence through cutting-edge research
A generalist policy trained on diverse robot platforms demonstrating unprecedented manipulation capabilities and zero-shot transfer.
Read PaperNovel techniques for training robust policies in simulation that transfer seamlessly to real-world robots without fine-tuning.
Read PaperCustom RISC-V extensions for efficient neural network inference and real-time control on edge devices.
Read PaperA team of engineers, researchers, and roboticists passionate about bringing AI into the physical world
At GoMyRobot, we're building the future of physical intelligence. Our vision is a world where robots seamlessly integrate into everyday life, learning and adapting to help humans accomplish more.
We believe that general-purpose robotics requires foundation models that understand both the digital and physical worlds. By combining large-scale pre-training with real-world robot data, we're creating systems that can truly understand and manipulate their environment.
Vision-Language-Action models for general-purpose manipulation
Efficient RL methods for continuous real-world improvement
Custom RISC-V accelerators for efficient edge deployment
Join us in creating the next generation of physical intelligence systems. Whether you're a researcher, engineer, or partner, we'd love to hear from you.