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PUBLISHER: ResearchInChina | PRODUCT CODE: 2168688

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PUBLISHER: ResearchInChina | PRODUCT CODE: 2168688

Robot Controllers (Cerebrum & Cerebellum) Research Report, 2026

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Research on Robot Controllers: In-depth Review of Architecture Roadmaps, Chip Selection and Supplier Landscape

Robot Controllers (Cerebrum & Cerebellum) Research Report, 2026 analyzes and summarizes the following six dimensions: 1. definition, functions, architecture and classification of robot controllers (cerebrum & cerebellum); 2. development history, integration solutions and challenges of cerebrum-cerebellum convergence for robot controllers; 3. development trends of robot controllers; 4. chip applications for robot controllers; 5. controller deployment solutions adopted by domestic and overseas robot OEMs; ⑥ robot controller suppliers and their product portfolios.

Robot controllers are undergoing a four-stage architectural evolution, transitioning from discrete heterogeneous / on-board heterogeneous architectures to integrated computing-control architectures.

The controller hardware architecture evolves through decoupling followed by re-integration. In the centralized era before 2000, a single DSP or MCU handled trajectory interpolation and point logic, with no independent AI computing power. Starting from 2015, the industry entered the discrete heterogeneous phase: the AI computing board (cerebrum) and the independent motion control board (cerebellum) communicate via Gigabit Ethernet. The cerebrum and cerebellum are physically separated, at the cost of cross-board latency and jitter. Since 2025, the industry has moved into the integrated computing-control phase. The NPU and high-performance cores run Linux, while real-time cores run RTOS. On-chip shared memory replaces external buses. The native convergence architecture remains in the prototype stage, targeting a perception-decision-execution closed-loop latency below 10 milliseconds.

It is worth noting that discrete heterogeneous architectures are not obsolete. In the short term, discrete heterogeneous solutions will still be adopted for research prototypes, industrial and high-safety scenarios, as they enable complete fault domain isolation. During the pre-mass-production R&D phase, most manufacturers adopt a compromise "PCB on-board heterogeneous" design, integrating the AI SoC cerebrum and real-time MCU cerebellum on the same mainboard. Over the next three to five years, discrete heterogeneous, on-board heterogeneous and integrated computing-control architectures will coexist rather than replace one another in a single transition.

Chip Selection by Domestic Robot OEMs: Three Approaches for Three Types of Robot Platforms

Consumer-grade quadruped robots adopt domestic SoCs for cost reduction (e.g., Rockchip RK3588), with extreme cost sensitivity as the priority. Industrial-grade quadruped robots deploy modular computing hardware (e.g., Jetson Orin NX, D-Robotics RDK S100), prioritizing SLAM and environmental perception. Humanoid robots adopt a separated cerebrum-cerebellum design paired with high-end chips (e.g., AGX Orin with 275 TOPS, flagship Jetson Thor with 2070 FP4 TFLOPS) to deliver redundant computing power for end-to-end VLA. In-house designed chips have also started to be deployed on robots.

Computing power tiers for commercialization are divided into three brackets:

Entry-tier for domestic cost reduction, 0.5-6 TOPS, represented by RK3588. Large models run on the cloud, while the edge only handles reflex control, with high-volume shipment as the target.

Mid-tier for mainstream mass production, 70-130 TOPS, represented by Orin NX and RDK S100. Task planning and perception run locally on the edge, targeting large-scale delivery.

High-tier flagship , 275-2070 TOPS, represented by AGX Orin, Jetson Thor and in-house chips. Local execution of VLA foundation models and end-to-end pipelines with reserved computing redundancy.

Three Tracks for Overseas Robot OEMs

The overseas market is split into three distinct tracks. Consumer/service humanoid robots (1X NEO, Figure 03) focus on low power consumption, quiet operation and cloud collaboration, mostly relying on off-the-shelf third-party platforms. Industrial/logistics humanoid robots (Agility Digit, Apptronik Apollo, Boston Dynamics Atlas, Oversonic RoBee) prioritize real-time performance and force control for payloads, with layered decoupling being the most mature architecture. The automotive/autonomous driving migration faction (Tesla Optimus, Vin Motion Motion2) ports the ADAS computing stack directly into robots, featuring the highest level of vertical integration.

When selecting chip architectures, overseas OEMs face a three-way trade-off essentially between "ecosystem dependency vs vertical integration": out-source Jetson platforms (mature CUDA ecosystem, out-of-box deployment, but constrained by supply and cost, prone to homogenization); vertically integrated self-developed SoCs (controllable cost, optimized hardware-software co-design and data closed-loop, yet requiring massive R&D investment and forming a closed ecosystem); heterogeneous off-the-shelf combinations (flexible selection, low power consumption and guaranteed real-time performance, yet heavy integration workload).

Three Major Camps of Robot Controller Suppliers, with Industrial Automation as the Core Base

The positioning of controller suppliers is largely shaped by their original business background, falling into three main categories.

1. Seven established industrial control / embedded vendors (Advantech, Inovance, SEER Robotics, Huacheng Industrial Control, Peitian Robotics, Ruixinxing, Beacon Robot): they build on their core strengths in EtherCAT real-time bus and multi-axis synchronization, with large-volume shipments for AMR/AGV products.

2. Five automotive ADAS / ODM vendors extending into robotics (iMotion Automotive Technology, Luxshare Precision, Huaqin Technology, SIM Technology, G-Pulse Electronics): they reuse automotive-grade domain controller engineering capabilities for robots, focusing on integrated cerebrum-cerebellum controllers.

3. Three high-computing / autonomous driving platform vendors (Pegasus AI, NIIC (Suzhou) Technology, MYIR Electronics): they enter the market based on Jetson or high-performance Arm platforms.

From the perspective of commercial maturity, the dividing line among suppliers has become clear.

The first tier has achieved large-scale shipments: SEER Robotics delivered more than 8,000 units in H1 2026 (up 80% year-on-year), with new orders worth CNY 467 million (+60%) and customers across 43 overseas countries and regions. Ruixinxing's XMC 300 has served over 80 manufacturers, with annual shipment growth exceeding 200%.

The second tier is in mass production delivery: iMotion Automotive Technology's iRC 100 has secured orders from leading robot companies; Luxshare Precision CORTEX 100 and Huaqin's self-developed main controllers are being rolled out sequentially.

Product Code: BHY012

Table of Contents

Key Conclusions

Development Trend of Robot Controllers (Cerebrum & Cerebellum)

Policies, Regulations and Industry Standards for Robot Controllers

Compute Chip Landscape for Robot Cerebrum & Cerebellum

Controller Selection Characteristics of Domestic Robot OEMs

Architecture Roadmap and Chip Supply of Domestic Robot OEMs

Three Commercial Tiers of Controller Compute for Domestic Robot OEMs

Product Iteration and Risks of Controllers from Domestic Robot OEMs

Summary of Controller Selection by Overseas Robot OEMs

Chip Roadmap and Selection Trends of Overseas Robot OEMs

Three Paths for Controller Suppliers to Enter Embodied Intelligence

Supplier Chip Solutions and Commercial Maturity

Next 3-5 Years: From "Purchased & Assembled" to "Integrated Hardware-Software"

1 Overview of Robot Controllers (Cerebrum & Cerebellum)

  • 1.1 Definition, Functions, Architecture and Classification of Robot Controllers (Cerebrum & Cerebellum)
  • Definition and Functions of Robot Controllers
  • Robot controllers are functionally divided into "Cerebrum" and "Cerebellum"
  • Hardware Architecture of Robot Cerebrum & Cerebellum
  • The Cerebrum is mainly responsible for perception, decision-making, planning and learning
  • The Cerebellum is mainly responsible for motion control, coordination and feedback
  • Motion Control Methods of Robot Cerebellum
  • Classification of Robot Cerebellum Controllers (1)
  • Classification of Robot Cerebellum Controllers (2)
  • Classification of Robot Cerebellum Controllers (3)
  • Black-box Monopoly on Industrial Robot Motion Controllers
  • Lingbao CASBOT Full-body Integrated Motion Control Solution
  • Application Characteristics of Robot Controllers (Cerebrum & Cerebellum) in Different Scenarios (1)
  • Application Characteristics of Robot Controllers (Cerebrum & Cerebellum) in Different Scenarios (2)
  • 1.2 Evolution of Hardware Architecture of Robot Controllers (Cerebrum & Cerebellum)
  • Cerebrum for perception & decision-making, Cerebellum for real-time servo
  • Four-stage Evolution of Robot Controller Hardware Architecture: Evolving along the mainline of "Decoupling -> Integration", currently in the third stage
  • Four-stage Evolution of Robot Controller Hardware Architecture: Discrete Heterogeneous Cerebrum & Cerebellum physically split into two boards, communicating via industrial bus across boards
  • Four-stage Evolution of Robot Controller Hardware Architecture: Integrated Computing & Control, Cerebrum and Cerebellum consolidated into one SoC
  • Four-stage Evolution of Robot Controller Hardware Architecture: From "Single Chip Handling All Tasks" to "Native Coordination on Single Chip"
  • In-depth Comparison between Discrete Heterogeneous and Integrated Controller Architectures (1)
  • In-depth Comparison between Discrete Heterogeneous and Integrated Controller Architectures (2)
  • In-depth Comparison between Discrete Heterogeneous and Integrated Controller Architectures (3)
  • In-depth Comparison between Discrete Heterogeneous and Integrated Controller Architectures (4)
  • Cerebrum-Cerebellum fusion is a collaborative architecture of cognitive decision system and motion control system
  • Consumer-side and open environments serve as priority testbeds for cerebrum-cerebellum fusion and end-to-end models
  • Challenges for Cerebrum-Cerebellum Fusion: Data
  • Challenges for Cerebrum-Cerebellum Fusion: Black-box Risks
  • Challenges for Cerebrum-Cerebellum Fusion: Generalization Capability
  • Controller Architecture Selection: Split Architecture for Prototypes & High-Safety Use Cases; Integrated Computing & Control for Mass-produced Dynamic Robots
  • Controller Architecture Trend: Discrete Heterogeneous and Integrated Architectures will coexist long-term, differentiated by scenarios rather than replacing each other
  • 1.3 Development Trend of Robot Controllers (Cerebrum & Cerebellum)
  • Compute architecture evolves from two-tier Cerebrum-Cerebellum to three-layer distributed compute: Cerebrum - Cerebellum - Joint Spinal Cord
  • Migration of automotive functional safety framework to robots; mixed-criticality systems become core capability
  • Shift from power-unconstrained lab designs to battery-powered, weight-sensitive robot designs
  • Hardware fusion drives standardization of software stacks and toolchains
  • Localization of Robot Controllers (Cerebrum & Cerebellum)
  • Generalization and cloud-based software of the robot controller "Cerebrum"
  • Specialization and bionics of the robot controller "Cerebellum"
  • 1.4 Compute Chips for Robot Cerebrum & Cerebellum
  • Chips are the core carrier of the "Cerebrum-Cerebellum" and "nervous system"
  • Summary of Mainstream Chip Product Deployment - Robot OEMs (1)
  • Summary of Mainstream Chip Product Deployment - Robot OEMs (2)
  • Summary of Mainstream Chip Product Deployment - Robot OEMs (7)
  • Summary of Mainstream Chip Product Deployment - Controller Suppliers (1)
  • Summary of Mainstream Chip Product Deployment - Controller Suppliers (2)
  • Chip Landscape: Dual oligopoly of X86 + Jetson established; domestic chips break through in mid-to-low tiers, self-developed chips still under verification
  • Chip Landscape for OEMs: Four camps with clear stratification; NVIDIA covers the full spectrum from consumer quadruped robots to industrial humanoids
  • NVIDIA Jetson: Complete compute gradient from 0.5-2070 TOPS
  • Domestic Chips: Rockchip + Horizon Robotics have achieved mass deployment for mid & low compute
  • Domestic Chips: Rockchip RK3588 has penetrated the robot market (1)
  • Domestic Chips: Rockchip RK3588 has penetrated the robot market (2)
  • Domestic Chips: D-Robotics launches full-stack hardware & software product suite for the "Robot+" era
  • Domestic Chips: Multiple suppliers build robot controllers based on the D-Robotics RDK S100 intelligent computing platform (1)
  • Domestic Chips: Multiple suppliers build robot controllers based on the D-Robotics RDK S100 intelligent computing platform (2)
  • Self-developed Chips: Aggressive theoretical compute (128-2500 TOPS), all at prototype stage; ecosystem is the biggest bottleneck
  • Chip Landscape for Controller Suppliers: Domestic chips rapidly penetrate mid-tier market driven by Horizon Robotics
  • Comparison of Typical Solutions on Supplier Side: Inovance / Advantech / Pegasus AI/ NIIC (Suzhou) Technology each with differentiated focus; domestic chip solutions are already mass-delivered
  • Five Key Chip Trends: Long-term heterogeneous architecture, deepening NVIDIA moat, domestic chips occupying mid-tier
  • Three Industry Pain Points: Compute-power / power consumption balance, gaps in domestic software ecosystem, high barrier for cerebrum-cerebellum coordination
  • Four Follow-up Observation Directions: Key variables shaping the evolution of robot chip market landscape
  • Automotive-grade chips are migrating to robots (1)
  • Automotive-grade chips are migrating to robots (2)
  • Automotive-grade chips are migrating to robots (3)
  • Humanoid Robot Chip Market Size, 2028E
  • 1.5 Policies, Regulations and Industry Standards for Robot Controllers (Cerebrum & Cerebellum)
  • Summary of National Policies Driving Robot Control Technology: 2023-2025
  • Summary of National Policies Driving Robot Control Technology: 2026
  • Summary of Local Policies Driving Robot Control Technology: 2023-2025 (1)
  • Summary of Local Policies Driving Robot Control Technology: 2023-2025 (2)
  • Summary of Local Policies Driving Robot Control Technology: 2026
  • Summary of Overseas Policies Driving Robot Control Technology
  • Summary of Industry Standards Related to Robot Control Technology (1)
  • Summary of Industry Standards Related to Robot Control Technology (2)
  • Policy Observation: Robot control technology has become a core bottleneck for national future industrial competition
  • Policy Observation: Standards set frameworks, scenarios refine controls, and special projects tackle core technologies - three pillars driving control technology iteration
  • Policy Observation: Robot control systems as a strategic high ground for future industries is consensus among six major economies
  • Policy Observation: Three differentiated overseas routes: software ecosystem, hardware breakthrough, safety compliance
  • Three Trends: Strong linkage between policy, standards and industry; software-defined control; divergence between domestic and overseas routes

2 Deployment Solutions of Controllers (Cerebrum & Cerebellum) by Domestic Robot OEMs

  • 2.1 Summary of Controller (Cerebrum & Cerebellum) Deployment Solutions of Domestic Robot OEMs (1)
  • 2.1 Summary of Controller (Cerebrum & Cerebellum) Deployment Solutions of Domestic Robot OEMs (2)
  • 2.1 Summary of Controller (Cerebrum & Cerebellum) Deployment Solutions of Domestic Robot OEMs (6)
  • 2.2 Selection Characteristics: Domestic Chips for Cost Reduction in Consumer Quadrupeds, Modular Compute for Industrial Quadrupeds, Separated Cerebrum-Cerebellum + High-end Chips for Humanoids (1)
  • 2.2 Selection Characteristics: Domestic Chips for Cost Reduction in Consumer Quadrupeds, Modular Compute for Industrial Quadrupeds, Separated Cerebrum-Cerebellum + High-end Chips for Humanoids (2)
  • 2.2 Selection Characteristics: Domestic Chips for Cost Reduction in Consumer Quadrupeds, Modular Compute for Industrial Quadrupeds, Separated Cerebrum-Cerebellum + High-end Chips for Humanoids (6)
  • 2.3 Four Architecture Routes for Domestic OEM Robot Controllers: Split Architecture Dominant, the other three coexist and complement each other
  • 2.4 Five Chip Supply Routes for Domestic OEM Robot Controllers: Jetson remains de facto standard; domestic and self-developed chips break through at both ends
  • 2.5 Three Commercial Compute Tiers for Domestic OEM Robot Controllers: Entry-level domestic chips for cost reduction; mid-tier OrinNX mainstream; high-end flagship at 1000+ TOPS
  • 2.6 Three-stage Product Iteration of Domestic OEM Robot Controllers: Purchased Prototypes -> Separated Cerebrum-Cerebellum -> Inflection Point of Self-developed Chips
  • 2.7 Five Risks of Controller Selection for Domestic Robot OEMs: Supply Chain, Latency, ROI, Mismatch, Cerebellum as the Real Barrier
  • 2.8 Five Trends for Domestic OEM Robot Controllers: Domestic Substitution, Modularization, Self-developed Chips, Automotive-grade Spillover, Vertical Cerebrum-Cerebellum Integration
  • 2.9 Unitree Robotics
  • Profile
  • Market & Product Strategy Roadmap
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Unitree Go2 (1)
  • Deployment Solution: Unitree Go2 (2)
  • Deployment Solution: Unitree As2
  • Deployment Solution: Unitree B2
  • Deployment Solution: Unitree A2
  • Deployment Solution: Unitree H1-2
  • Deployment Solution: Unitree G1
  • Deployment Solution: Unitree R1
  • Deployment Solution: Unitree H2/H2 PLUS
  • Motion Control (Cerebellum) Technology Breakthrough: OmniXtreme
  • Latest Updates 2026: WRC 2026 and Technical Breakthroughs
  • 2.10 UBTECH
  • Profile
  • Product Overview (1)
  • Product Overview (2)
  • Revenue
  • Core Technology System
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Walker X
  • Deployment Solution: Panda Robot Youyou
  • Deployment Solution: Walker S2
  • Deployment Solution: Walker C1
  • Deployment Solution: Cruzr Y1
  • Deployment Solution: UWORLDU 1 PRO
  • 2.11 Agibot
  • Profile
  • 358 Grand Plan: Driving Embodied Production Deployment
  • Product Overview
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Kuto D1 Series
  • Deployment Solution: Yuanzheng A2 Flagship
  • Deployment Solution: Yuanzheng A2-W
  • Deployment Solution: Lingxi X2 (1)
  • Deployment Solution: Lingxi X2 (2)
  • Deployment Solution: Elf G1
  • Deployment Solution: Yuanzheng A3
  • Deployment Solution: Elf G1 MAX
  • Deployment Solution: Elf G2
  • Deployment Solution: Kuto D1 Series
  • 2.12 CASBOT
  • Profile
  • Founding Team
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: CASBOT 02
  • Deployment Solution: CASBOT W1
  • General Cerebrum-Cerebellum Intelligent Solution
  • Full-body Integrated Motion Control Solution
  • Summary of 2026 Updates Highly Relevant to CASBOT Robot Controllers (Cerebrum & Cerebellum)
  • 2.13 Leju Robotics
  • Profile
  • Product Overview
  • Development History
  • Development Strategy & Planning
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Roban
  • Deployment Solution: AELOS Embodied
  • Deployment Solution: KUAVO 4Pro
  • Deployment Solution: KUAVO 5
  • Deployment Solution: KUAVO 5-W
  • Summary of 2026 Updates Highly Relevant to Robot Controllers (Cerebrum & Cerebellum)
  • 2.14 Fourier Intelligence
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: GR-1
  • Deployment Solution: GR-2
  • Deployment Solution: GR-3
  • Deployment Solution: GRW
  • Summary of 2026 Updates Highly Relevant to Robot Controllers (Cerebrum & Cerebellum)
  • 2.15 ROBOTERA
  • Profile
  • Milestones
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: StarMotion L7
  • Deployment Solution: StarMotion Q5
  • Deployment Solution: StarMotion M7
  • 2.16 EngineAI Robotics
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: SE01
  • Deployment Solution: PM01 (1)
  • Deployment Solution: PM01 (2)
  • Deployment Solution: T800
  • Deployment Solution: JS01
  • 2.17 Tlibot
  • Profile
  • Product Overview
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: T1Pro
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Hybrid Robot Y Series
  • 2.18 Vita Dynamics
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Vbot Super Robot Dog (1)
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Vbot Super Robot Dog (2)
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Vbot ATOM
  • Major Industry Progress in 2026
  • 2.19 Galaxea AI
  • Profile
  • Robot Controller Deployment Solution
  • Biped Humanoid Kengo Prototype Released
  • Wheeled-Arm Humanoid Nexo Launched
  • Major Industry Progress in 2026
  • 2.20 Booster Robotics
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Booster T1
  • Deployment Solution: Booster T2
  • Deployment Solution: Booster K1 Series
  • Major Industry Progress in 2026
  • 2.21 Galbot
  • Profile
  • Core Team Members
  • Strategic Plan
  • Product Overview
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Galbot G1
  • Deployment Solution: Galbot S1
  • Deployment Solution: Galbot ET1
  • Major Industry Progress in 2026
  • 2.22 XPeng
  • XPeng Embodied Intelligence Robot Industrial Layout Timeline & Plan
  • XPeng Teams / Affiliates for Embodied Intelligence Robots
  • XPeng Core Talent for Embodied Intelligence Robots and Their Backgrounds
  • XPeng Robot Controller (Cerebrum & Cerebellum) Deployment Solution: IRON
  • Major Industry Progress of XPeng Robotics in 2026
  • 2.23 Dongfeng Motor
  • Dongfeng Embodied Intelligence Robot Industrial Layout Timeline & Plan
  • Dongfeng Teams / Affiliates for Embodied Intelligence Robots
  • Dongfeng Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Xiaodong
  • Major Industry Progress of Dongfeng Robotics in 2026
  • 2.24 Zhejiang Humanoid Robot Innovation Center Co., Ltd.
  • Profile
  • Development History and Core Technology System
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: NAVIAIWA1
  • Deployment Solution: NAVIAIWA2
  • Deployment Solution: NAVIAII3
  • Major Industry Progress in 2026
  • 2.25 Beijing Innovation Center of Humanoid Robotics Co., Ltd.
  • Profile
  • Full-stack Products
  • Technical Milestones & Partners
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: Tiangong 3.0
  • Deployment Solution: Tiangong Omni
  • Deployment Solution: Tianyi 2.0
  • Major Industry Progress in 2026
  • 2.26 Kepler
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: K2
  • Major Industry Progress in 2026
  • 2.27 Rokae Robotics
  • Profile
  • Products & Solutions
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Zhuxing H Series
  • Control System
  • Controller Products (1)
  • Controller Products (2)
  • Summary of Major Layouts in Robotics, 2025-2026
  • 2.28 Honor Robot
  • Profile
  • Core Leadership
  • Development History
  • Honor Alpha Plan
  • Core Technical Advantages
  • Robot Product: Humanoid Robot "Lightning D1"
  • Robot Product: Humanoid Robot "Yuanqizai A1"
  • Latest Updates
  • 2.29 Wheeltec
  • Profile
  • Overview of Robot Controller (Cerebrum & Cerebellum) Deployment Solutions
  • Deployment Solution: R550
  • Deployment Solution: V650, S100
  • Deployment Solution: R550 PLUS Auto
  • Deployment Solution: S300
  • Deployment Solution: S200 Auto

3 Deployment Solutions of Controllers (Cerebrum & Cerebellum) by Overseas Robot OEMs

  • 3.1 Summary of Controller (Cerebrum & Cerebellum) Selection for Overseas Robot OEMs
  • Covering 9 overseas OEMs, categorized into three tracks by commercialization stage
  • Summary of Overseas OEM Robot Controller (Cerebrum & Cerebellum) Deployment Solutions (1)
  • Summary of Overseas OEM Robot Controller (Cerebrum & Cerebellum) Deployment Solutions (2)
  • Hardware Selection for Cerebrum Chips: NVIDIA Jetson is the industry default; self-developed and heterogeneous chips are minority options
  • Compute Tiers: High-end stacks compute for end-to-end pipelines; mid/low tiers adopt layered decoupling to save compute
  • Deployment Paradigm for Cerebrum-Cerebellum Software Architecture: Layered decoupling is mainstream for industrial use cases
  • Scenario-defined Controller Selection: Four constraints - safety, real-time performance, privacy and cost - determine architecture selection
  • Controller Selection Trend: Shift from "Purchased & Assembled" to "Core Barrier via Integrated HW-SW" in the next 2-3 years
  • 3.2 1X Technologies
  • Profile
  • Development Milestone Timeline
  • Introduction to Core Team Members and Backgrounds
  • Embodied Intelligence Robot Large Model: R&D & Deployment Roadmap
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: NEO
  • Major Industry Progress in 2026
  • 3.3 Agility Robotics
  • Profile
  • Agility Robotics to become the only pure-play humanoid robot listed company in the US with real commercial deployments
  • Development Milestone Timeline
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Digit Gen5
  • Major Industry Progress in 2026
  • 3.4 Oversonic Robotics
  • Profile
  • Core Technology: Cognitive Platform
  • Product Portfolio: RoBee Series Humanoid Robots
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: RoBee Series
  • Major Industry Progress in 2026
  • 3.5 Apptronik
  • Profile
  • Core Technology & Commercial Ecosystem
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Apollo2
  • Major Industry Progress in 2026
  • 3.6 Tesla
  • Profile: Full-stack HW & SW Self-development
  • Tesla Optimus Robot Roadmap
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Optimus Gen3
  • 3.7 VinMotion
  • Profile
  • Core Technology Roadmap
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Motion2
  • Major Industry Progress in 2026
  • 3.8 Boston Dynamics
  • Profile
  • Development Milestones
  • Core Team Members & Backgrounds
  • Summary of Robot Controller Deployment Solutions
  • Major Industry Progress in 2026
  • 3.9 Humanoid (SKLRobotics)
  • Profile
  • Development Milestone Timeline
  • Leadership Team
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: HMND01
  • Major Industry Progress in 2026
  • 3.10 Figure AI
  • Profile
  • Robot Controller (Cerebrum & Cerebellum) Deployment Solution: Figure Series
  • Major Industry Progress in 2026

4 Research on Robot Controller (Cerebrum & Cerebellum) Suppliers

  • 4.1 Supplier Product Overview & Summary of Chip Compute Configurations
  • Summary of Key Conclusions and Supplier Application Positioning
  • Three Paths for Controller Suppliers to Enter the Embodied Intelligence Track
  • Adopted Chip Solutions: D-Robotics RDK S100P serves as domestic reference design
  • Compute Tier Division of Robot Controllers and Corresponding Robot Form Factor Positioning
  • Summary of Robot Controller (Cerebrum & Cerebellum) Supplier Products (1)
  • Summary of Robot Controller (Cerebrum & Cerebellum) Supplier Products (2)
  • 4.2 iMotion Automotive Technology
  • Profile
  • Commercial Entity for Robot Controllers: Ruyi Dynamics
  • Robot Controller Products
  • Robot Controller Product: iRC100
  • Robot Controller Product: DynaLoong
  • Revenue
  • Enters Robot Core Components
  • Summary of Related Entities in Robotics
  • Signs Comprehensive Strategic Cooperation Agreement with Fourier Intelligence
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.3 Luxshare Precision
  • Profile
  • Revenue
  • Robot Controller Products
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.4 Huaqin Technology
  • Profile
  • Revenue
  • Robotics Business is one of Huaqin's Three New Strategic Tracks
  • Robot Business & Robot Controller Products
  • Summary of Related Entities in Robotics
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.5 SIM Technology
  • Profile
  • Four Business Segments
  • External Brand for Robot / Embodied Intelligence Business: SIMCOM
  • Robot & Controller Products (1)
  • Robot & Controller Products (2)
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.6 G-Pulse Electronics
  • Profile
  • Robot Controller Products
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.7 Chengdu Ruixinxing
  • Profile
  • Robot Product Overview
  • Robot Controller Products (1)
  • Robot Controller Products (2)
  • Robot Controller Products (7)
  • Summary of Major Layouts in Robotics, 2025-2026
  • 4.8 Advantech
  • Profile
  • Robot Controller Product Overview (1)
  • Robot Controller Product Overview (2)
  • Robot Controller Products (1)
  • Robot Controller Products (2)
  • Robot Controller Products (3)
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