Meet the Lunyee Team | Robotic Platform R&D Experts

Team Introduction

Supply Chain Manager James

Supply

With 18 years of experience in the robotics supply chain sector, specializing in the research, development, and mass production supply chain management of mobile robots, with expertise in building high-efficiency, low-cost supply chain systems from scratch.Proficient in BOM cost optimization, flexible supply chain system construction, and smart manufacturing process design, successfully leading the mass production and commercialization of multiple robot products, covering industrial AGVs, service robots, and special-purpose robot applications.

1. Cost Optimization and Scalable Implementation

Led the supply chain restructuring project for the third-generation omnidirectional mobile chassis, reducing BOM costs by 35% through modular design and increasing material standardization rates by over 50%. By introducing a deep collaboration model with core strategic suppliers, we achieved economies of scale with annual procurement exceeding 80 million yuan.

2. Flexible Supply Chain System Development

Based on the production characteristics of robots, which involve multiple varieties and small batches, we innovatively designed a hybrid supply model combining “centralized procurement of core components + on-demand production of customized components.” In collaboration with the R&D team, we developed a DFM collaboration platform, reducing the new product introduction cycle by 40% and enabling the company to efficiently manage over 2,000 SKUs. We established a flexible production capacity allocation model to balance mass production demands with production capacity fluctuations, ensuring timely delivery while maintaining inventory turnover rates at the industry's optimal level.Simultaneously optimize the logistics network layout to reduce delivery cycles to 60% of the industry average.

3. Smart Manufacturing Process Design

Lead the construction of robotic smart production lines, integrating AI quality inspection and flexible assembly technology, increasing unit labor productivity by 50% and reducing personnel by 80%, and achieving the initial stage of a “lights-out factory.”Lead the introduction of AI-driven intelligent robot systems, achieving a 40%+ increase in warehouse sorting efficiency and a 90% reduction in logistics error rates, driving the transformation of the supply chain from “people finding goods” to “goods coming to people.”

Quality Control Manager Daniel

Quality

Specializes in the construction of quality systems for mobile robots and comprehensive quality control throughout their entire lifecycle. Proficient in the in-depth application of ISO 9001/IATF 16949 standards in the robotics field. Innovatively applies AI algorithms to core quality tools such as SPC, MSA, and FMEA, and employs AI-driven quality analysis to address critical system challenges such as the stability of robot motion control and the reliability of multi-sensor collaboration. Led the development of the industry's first chassis dynamic performance digital testing platform, achieving a defect prediction accuracy rate of 95%...

1. Quality System Upgrade

Given the non-standard customized nature of robots, restructured the “design-prototyping-mass production” three-stage quality control system. We introduced the DFQ (Design for Quality) methodology, embedding over 150 key characteristic control points during the chassis structural design phase, reducing the incidence of issues during the prototype phase by over 60%.

2. Intelligent Inspection Innovation

We developed an automatic chassis motion trajectory detection system based on lidar point cloud analysis, replacing traditional manual ruler measurements. By training a quality anomaly identification model using machine learning algorithms, detection efficiency has increased by 4 times (reducing single-item detection time from 15 minutes to 3.5 minutes), saving 2.8 million yuan in annual quality inspection costs.

3. Supply Chain Collaborative Governance

Established a visualized “red-yellow-blue” three-tier supplier quality risk dashboard system to dynamically monitor the process capability index (Cpk) of critical components such as harmonic reducers and high-precision encoders. Through joint Six Sigma improvement projects with suppliers, the batch defect rate of robot core components has been reduced from 1.2% to below 0.3%.

Technology R&D Department Manager Ethan

Technology

With 15 years of experience in mobile robotics technology R&D, he previously served as Chief Architect at a leading robotics company. Joined Xspirebot in 2020, leading the team to break through core robotics technologies such as high-precision motion control and multi-modal perception fusion, and launched a modular robot chassis supporting omnidirectional adaptive terrain, with products spanning medical, energy, and special equipment sectors...

1. Foundational Innovation

Led the development of a robot dynamic balancing algorithm based on reinforcement learning, overcoming the challenge of autonomous navigation in complex terrains such as nuclear power plant radiation zones and mine collapse areas. The team developed a lightweight carbon fiber chassis architecture, achieving an industry-leading load ratio of 1:8.5, enabling the price of a single product to exceed 500,000 yuan.

2. Commercialization

Pioneered the “robot + industry suite” business model, enabling standardized chassis to integrate customized modules for medical disinfection, power inspection, and other applications, achieving scalable deployment. In 2023, led the team to complete the world's first nuclear power plant robot inspection system deployment, with a single project contract value of 80 million yuan, and facilitated product exports to high-end markets such as Europe, Japan, and Germany.

3. Ecosystem Development

Initiated the establishment of the “Mobile Robot Open-Source Community,” collaborating with universities and upstream/downstream enterprises to build a technical ecosystem. Led the development of the “Mobile Robot Communication Protocol Standard,” which was included in the Ministry of Industry and Information Technology's industry standard white paper, driving a 25% reduction in overall supply chain costs.