The conversation around robotics has changed a lot in the past few years. What used to be mostly about movement and control is now heavily focused on intelligence. Robots are no longer just executing predefined actions — they are expected to perceive, understand, and react in real time. This shift puts serious pressure on hardware. The Real Bottleneck in Robotics Today If you look at modern robotics systems, most of the complexity comes from combining multiple workloads at once: motion control vision processing AI inference real-time decision making Trying to run all of this on a single chip often leads to compromises. Either you sacrifice latency, or you limit the size of AI models you can run. This is exactly why hybrid architectures are becoming more common. RK3588 + RK182X: Splitting the Workload A practical approach is to separate responsibilities between chips.…