First Global Manufacturing Innovation Summit | Transfer Tech: Epic Agent V1.0 Makes Digital-Intelligent Production Lines Smarter Over Time

At 9:30 AM on November 4, 2026, the First Global Manufacturing Innovation Summit opened at the Shanghai New International Expo Centre. With the theme 'New Manufacturing · Green Chain · Shared Future,' the summit was hosted by China Industry News in collaboration with Hannover Milano Fairs (Shanghai) Co., Ltd. Joanna Qiao, Overseas Key Account Manager at Transfer Tech, was invited to attend and delivered a keynote speech titled 'Epic Agent V1.0: Letting Large Models Drive Robots to Work in Factories.'

I.Pain Points: Connecting the Understanding of Large Models to Production Line

General large models are already widely deployed for digital-world tasks, with proven performance in code generation, data analysis, and autonomous tool calling to handle complex assignments. Real-world industrial scenarios operate under a distinct set of constraints: cameras, LiDARs and robotic arms from different vendors feature proprietary interfaces and parameter frameworks. Point cloud processing, hand-eye calibration, motion planning and obstacle avoidance demand specialized expertise. Reflective, transparent and dark workpieces induce unstable imaging. Continuous operation further requires traceable exceptions, adjustable parameters and repeatable result validation. These workflows have long depended on engineers to conduct piecemeal integration, and the timeline for solution development and debugging grows alongside project complexity.

Production lines demand actionable outcomes. Only when the overhead of device adaptation and engineering know-how retrieval is lowered can large-model capabilities translate into production throughput.

Joanna Qiao breaks down deployment costs into two categories: the integration workload for multi-vendor hardware and the efficiency of retrieving engineering know-how. This defines the core objective of Epic Agent V1.0: engineers state operational goals in plain language, while the agent takes over device onboarding, tool calling and process orchestration, and delivers actionable solutions for review and confirmation.

II.Accumulation: A Full-Stack Self-Developed System Carries Reusable Engineering Experience

Transfer Technology solves problems by leveraging the compounding value of time and accumulated engineering know-how. Founded in 2017, the company has long specialized in 3D industrial cameras and vision systems, with in-house developed hardware and software: the Epic Eye series delivers imaging, the ATOM algorithm platform offers over 200 operators spanning 2D imaging, 3D point clouds, deep learning inspection, segmentation and motion planning; Epic Pro handles robot guidance, collision detection and path planning; Epic Trainer performs data annotation and custom model training, with private deployment support.

Thousands of industrial projects have generated records of workpiece adaptation, solution logic, parameter tuning and debugging workflows. This makes device capabilities, algorithmic tools and engineering methodologies ready for unified access. Built natively atop this practical toolset and project methodology forged from real-world industrial challenges, Epic Agent cuts the overhead of building toolchains from scratch, and turns historical project know-how into reusable engineering assets for day-to-day development.

III.Solution: Epic Agent Turns Requirements Directly into Runnable Solutions

Engineers define objectives, and the agent delivers workflows. Both solution development and troubleshooting converge into a confirmable, repeatable closed loop.

Epic Agent V1.0 is structured in three layers: Device Layer, Model Layer and Knowledge Base Layer. The Device Layer enables unified onboarding of cameras, LiDAR, industrial robotic arms, collaborative robots, gantry systems, dexterous hands, grippers, AMRs and AGVs. Point cloud acquisition, parameter distribution and command execution share a unified control semantic framework. The Model Layer separates task responsibilities: cloud-based general large models perform solution-level reasoning, while in-house inspection, segmentation and matching models deliver low-latency responses. Private deployment is supported, allowing all data to be processed within the factory boundary in a closed loop. The Knowledge Base Layer stores software documentation, operator manuals, hardware adaptation guides, release notes and project records. Enterprises may extend their proprietary knowledge bases as needed. The agent handles requirement parsing, step breakdown and tool calling. Draft solutions move forward for execution once reviewed and approved by engineers

Four high-frequency engineering tasks now have well-defined deliverables: answers, operators, algorithm graphs and troubleshooting reports. Engineering Q&A streamlines cross-document lookup into conversational prompts. When asked about operator functions, parameter tuning or solution logic, the agent cites supporting context from the active algorithm graph. Custom operator generation cuts custom development from days of coding and debugging down to hours. Users describe task objectives; the agent proposes designs aligned with development specifications and historical project references, validates details, runs verification checks, and integrates the new operator into the algorithm graph. Generated operators support further editing, export and reuse across projects.

Full-graph generation outputs ready-to-run workflows. Take 3D random bin picking as an example: a simple scene description — “the bin holds metal parts, and the camera is mounted above the robotic arm” — generates a complete algorithm graph for “camera scanning → robotic arm picking”. Potential constraints implied in the description are flagged upfront, with prompts to fill in missing information. Runtime diagnostics deliver verifiable supporting evidence. Once linked to logs, the agent pulls log records, inspects node outputs, measures per-node latency, and contrasts normal and abnormal runs. It returns confirmed root causes, pending hypotheses and troubleshooting priorities. Where parameter tuning is needed, it lists current values alongside recommended values; changes and retests take effect upon engineer approval. This helps new users build basic setups quickly and frees seasoned engineers from repetitive configuration work.

Additional streamlined access is also available. Transfer Technology has launched Epic CLI alongside Epic Agent to expose these capabilities to existing toolchains. Users can directly call professional Q&A, custom operator generation, algorithm graph creation and troubleshooting from AI development environments including Work Buddy, Doubao, Claude Code and Codex. ATOM retains its built-in interactive panel for real-time collaboration on algorithm graphs, runtime parameters and system logs. Developers stay within their familiar workspace, with no context switching required to invoke these capabilities.

IV.Compound Interest: Project Accumulation Continuously Raises Adaptation Efficiency

Every deployed project reduces the need to start from scratch on subsequent adaptation work. Miss Joanna Qiao describes this effect as "intelligent compounding": the more projects Epic Agent engages with, the stronger its scene generalization and task generalization capabilities, and the higher the efficiency of later deployment and adaptation.

A wide range of typical processes are already deployed in the field, with functional coverage expanding as more projects roll out. The agent supports workpiece loading and unloading, palletizing/depalletizing, random bin picking, positioning and assembly, welding guidance, and flexible operations for humanoid robots. Adaptation records from automotive, new energy, logistics, heavy industry, home appliance and other sectors continuously feed back into the knowledge base. This lifts the reuse rate for similar projects, and solutions for new workpieces can be built directly on proven existing references.

Moving forward, Transfer Technology will keep empowering smart manufacturing with full-stack in-house development. Together with industry and system integrator partners, we will keep pushing the boundaries of 3D vision technology, delivering easier-to-use, more robust and higher-efficiency intelligent transformation solutions. We will collaborate with all stakeholders to grow the smart manufacturing ecosystem, support China’s smart factories in pursuing high-quality, sustainable intelligent upgrading, and bring Chinese insights to advance high-quality development across global manufacturing.

Transfer Technology aims to be a global provider of general physical agents. To try Epic Agent, please access the download center on our official website and get the latest ATOM release. For Epic CLI inquiries, you may reach us via our official WhatsApp or email.