Humanoid robots are moving closer to real-world deployment – and their progress depends on physical intelligence and real-time reasoning. ADI enables "physical intelligence," a trend where AI systems perceive, reason, and act in the physical world with high fidelity and efficiency. The company’s expertise in edge sensing, precision motion control, power integrity, and deterministic connectivity, together with Jetson Thor's advanced compute capabilities, can make this possible.
ADI & NVIDIA are accelerating the development of reasoning-enabled robots by integrating ADI's high-fidelity signal chains with NVIDIA's Holoscan Sensor Bridge and Isaac Sim. By embedding robotics foundation models into the ADI development stack, ADI closes the Sim2Real gap so the company’s hardware behaves in Isaac Sim as it will in the real world.
The news builds on ADI’s broader work with NVIDIA, including an MOU, to drive innovation in AI and robotics. ADI's contributions – such as novel multimodal tactile sensing, high-accuracy IMUs, joint encoders, and deterministic connectivity via technologies like GMSL – play a critical role in enabling physical intelligence within AI models. This ensures that robots can perform dexterous manipulation and precise tasks in dynamic environments, whether on factory floors or in operating rooms.
