This solution integrates AI ASIC and compound semiconductor technologies, targeting next-generation high-precision dexterous hands, to develop a specialized chip for an integrated intelligent agent with multimodal perception and motion control. Equipped with the CT2001A cerebellar AI ASIC, CT-HS01 4D spectral sensor, and CT-1906H gallium nitride driver, the solution achieves seamless coordination among multiple chips to bridge large model decision-making and multidimensional perception loops, forming an ultra-low-latency full chain of "perception-decision-execution." It addresses current pain points of dexterous hands, such as high latency, weak perception, and low precision. Relying on core chips, the solution enables spatiotemporal alignment of real-world and simulated data, combines hardware and software computing resources, and incorporates DVS dynamic vision optimization for high-speed dynamic scene capture, intelligent motion trajectory adaptive planning, and 0.1-millimeter precision iTOF 3D reconstruction technology. This reduces robot training costs and grants dexterous hands high-precision positioning and flexible grasping capabilities.

The newly launched multimodal dexterous hand core chip series, taking the 22-degree-of-freedom dexterous hand solution as an example, includes three types of core chips to comprehensively meet the control requirements of high precision, low latency, compact size, and high performance for dexterous hands. Among them, the CT2001A cerebellar AI ASIC chip excels in low latency and high energy efficiency, primarily responsible for synchronizing joint and sensor data timing of the dexterous hand and connecting to the brain's VLA, enabling real-time neural motion data and simulated spatiotemporal data synchronization, accurately implementing LVA decision algorithms and whole-machine motion control to ensure real-time responsiveness and stability of dexterous hand movements. The CT-2001H, CT-1906H, and CT-21x series integrated control chips consolidate three core functions—micro-motor control, gallium nitride driving, and magnetic encoding—significantly enhancing integration. Their overall PCBA dimensions are only 13×13mm, perfectly fitting the 16mm diameter installation space for dexterous hand fingers, achieving extreme equipment miniaturization. Leveraging gallium nitride technology, these chips deliver high-frequency, high-efficiency motor force control, greatly improving dexterous hand finger response speed and operational precision. The product can continuously output a 6A working current, with heat generation reduced to just 60% of traditional MOSFETs, significantly upgrading thermal performance and operational stability. The CT-HS01 4D spectral sensing unit is compatible with DVS dynamic vision, iTOF depth ranging, and RGB visible light imaging channels, supporting simultaneous multispectral information acquisition.

Based on compound spectral sensing technology as the core sensing carrier, subsequent iterations will expand the continuous spectral detection range from 250nm to 1500nm, and users can sustainably train substance analysis algorithms; Develop a lightweight food safety discrimination model for household consumption scenarios and achieve non-contact non-destructive spectral detection of fresh food ingredients.

This multimodal dexterous hand dedicated chip solution can directly interface with VLA large model decision instructions through system level deep collaborative design. The solution achieves fast closed-loop processing of visual recognition, tactile perception, and environmental perception, with end-to-end signal latency far superior to traditional distributed architectures, providing strong hardware support for high real-time agile operations such as fine grasping and flexible assembly. Compared to traditional discrete solutions, the overall volume and power consumption are significantly reduced, perfectly adapting to the lightweight application requirements of end effectors such as humanoid, collaborative robots, and knowledge coaching robots.