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    Home»Industrial Robots»Leju Robotics Combines Taskor and a Reconfigurable Hand for Factory Automation
    Industrial Robots

    Leju Robotics Combines Taskor and a Reconfigurable Hand for Factory Automation

    Jack LeeBy Jack LeeOctober 13, 2026Updated:October 13, 2026No Comments7 Mins Read
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    Leju Robot for Factory Automation
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    The Shenzhen company’s industrial package combines a wheeled KUAVO 5-W robot, the Taskor deployment platform and a reconfigurable hand whose published figures match HeymanDex’s Dasheng 1. The specifications are public. Customer-line performance data are not.

    At the opening of the 26th China International Industry Fair in Shanghai on October 12, Leju Robotics presented an industrial package built around three elements: the KUAVO 5-W robot, the Taskor deployment platform and a reconfigurable dexterous hand intended to reduce the need to swap end effectors between tasks. Leju introduced Taskor in January. HeymanDex and Leju launched the Dasheng 1 hand on September 4. At CIIF, Leju presented the three together as a single industrial package, with the emphasis on reusing the same hardware and software across different jobs.

    Leju is not the only company behind the hand. HeymanDex was founded in July 2025, and Leju is among its investors. Neither side’s published materials name the other: HeymanDex’s product pages list the Dasheng 1’s specifications without mentioning Leju, and Leju’s CIIF materials describe the hand without naming HeymanDex. The published payload and repeatability figures match.

    What Leju Actually Showed at CIIF 2026

    CIIF runs from October 12 to 16 at the National Exhibition and Convention Center, and Leju’s stand covers three markets rather than one.

    For business services, Leju is showing a package it calls Exhibition Hall 4.0. A KUAVO robot acts as a guide, using vision and ultra-wideband (UWB) positioning to follow visitors and avoid obstacles. Leju says the system supports multilingual interaction and has been deployed in 23 provinces in China.

    The industrial display centres on the KUAVO 5-W, the Taskor deployment platform and the Dasheng 1 hand, set up around a full-scale replica of a factory production line. Leju says the robot was developed with more than 100 industrial scenarios in mind and has passed EMC certification. Its CIIF materials do not identify the testing body or the standard used.

    The stand also includes research applications, separate from the industrial package at the centre of this report.

    One Hand, Different Gripping Configurations

    Factories that switch between product variants may need different gripping arrangements for parts with different shapes and contact points. Changing the end effector adds tooling and changeover work. A reconfigurable hand is meant to reduce that burden, though how much it saves depends on the parts and the tasks involved.

    The Dasheng 1 is designed to switch between a multi-finger dexterous-hand configuration and an industrial-gripper form. HeymanDex lists enveloping grasps, fingertip manipulation and clamping among its capabilities, and says one hand covers work that previously required several end effectors. Leju’s CIIF materials describe 7+N gripping forms, including two-finger pinching and internal gripping. A September launch report said Leju’s industrial gesture library contains preconfigured grip configurations and motion sequences intended to reduce new-scene setup time from days to hours.

    Dasheng 1 specifications as published by HeymanDex
    Specification HeymanDex published figure
    Fingers 4
    Active degrees of freedom (DoF) 11
    Joint control All joints independently controlled
    Hook-grip payload At least 24 kg
    Repeatability ≤ 0.03 mm
    Maximum grip stroke 15 cm
    Full-stroke open/close time ≤ 1 s
    Fingertip force ≥ 18 N peak
    Weight Approx. 1 kg
    Control frequency ≥ 100 Hz

    Two of those figures need care before they go into a customer’s evaluation.

    The Association for Advancing Automation (A3) distinguishes accuracy from repeatability. Accuracy measures how closely a robot reaches its commanded target; repeatability measures how consistently it returns to the same position. ISO 9283, which sets out performance criteria and test methods for manipulating industrial robots, also treats pose accuracy and pose repeatability as separate measures. A repeatability figure of 0.03 mm therefore does not, on its own, establish absolute positioning accuracy. HeymanDex publishes the 0.03 mm figure but does not state the test conditions on the product page. Without those details, the number cannot be used to judge performance across different payloads, grasp configurations or factory tasks.

    The 24 kg figure is explicitly a hook-grip payload. It should not be read as a rating that applies to every gripping configuration.

    Leju’s CIIF material compares the 0.03 mm figure with a stated industry norm of 0.2 mm. The materials reviewed for this article do not provide a third-party benchmark supporting that comparison.

    Taskor Takes Aim at the Deployment Bottleneck

    Taskor is an industrial embodied-intelligence software platform built around two components: Studio and Dispatch. Studio lets users assemble robot actions through a graphical interface. Dispatch monitors robot status, position and task progress, and connects the fleet with a factory’s manufacturing execution system (MES).

    The claim that matters is about deployment time. Leju says Taskor can cut deployment for a single robot from months to hours. A January report described the target as turning “multi-week engineering projects” into “same-day configurations”. Neither account defines a standard task or specifies where the deployment clock starts and stops. It remains unclear whether the estimate covers graphical programming alone or the full process of integration, safety checks and commissioning on a production line.

    Leju Robot Demonstration at the 2026 CIIF

    Three Factory Tasks on the Show Floor

    Leju’s booth runs a full-scale replica of a production line and puts the package through three jobs: carton depalletizing, tote handling and small-part loading. The three place different demands on grasping, payload and placement. Leju presented them as examples of one hardware and software package configured for different tasks. Its CIIF materials give no cycle times or success rates for the individual demonstrations.

    One detail from the September launch was more specific. HeymanDex and Leju said the hand could handle tote stacking and destacking under both empty- and full-load conditions, including reaching into gaps that conventional fixed-form grippers may not be able to access.

    Leju says its industrial solutions have secured purchase commitments from companies in more than ten industries, including automotive, telecommunications, home appliances and logistics. The companies named in its materials include FAW Group, Hutchinson, Hisense, China Logistics and Dongfang Precision.

    Those commitments do not establish that the systems are already running in routine production. The CIIF materials reviewed for this article do not provide customer-level cycle times, uptime figures or task success rates, nor do they break down how many units have entered production versus trial use.

    Why the General-Purpose Bet Is the Real Story

    Industrial automation already has several ways to handle changing products, including dedicated tooling, quick-change end effectors and programmable robot cells. Leju’s approach differs in emphasis: a reconfigurable hand and a common software platform are intended to let the same hardware take on a wider range of tasks. The question is how much additional engineering that flexibility actually removes.

    For a customer, the test comes when the same system is moved to a second production line. A dedicated setup may require new tooling and engineering for the next task. A general-purpose system promises to reuse more of its existing hardware and software, but that saving has to be demonstrated. If task programs and deployment procedures can be reused across lines, customers may spend less engineering time bringing each additional application online.

    The commercial case also matters to Leju’s planned listing. Its ChiNext IPO application was accepted on May 19, with a proposed RMB 2.6 billion fundraising target. The review was suspended on September 30 because the financial information in the filing had expired and needed to be updated. A suspension is not a rejection, but it is the latest recorded step in the process.

    The Missing Numbers Behind the Deployment Claim

    The CIIF materials reviewed for this article do not give cycle times or success rates for the three tasks, or uptime figures from a customer site. Leju says its solutions can run for eight to ten hours a day, but the materials do not define whether that means uninterrupted operation, or provide a failure rate. The months-to-hours deployment claim has no stated baseline, and no integration-cost figures are provided.

    The test is what happens when the same platform moves to a task it has not been configured for. How much new engineering is required, and does the system maintain reliable operation once the job is running? Leju’s deployment-time claim is one measure. Customer data showing setup time, task performance and uptime would provide a firmer basis for judging the system’s industrial value.

    Sources: Leju Robotics; HeymanDex Dasheng 1 specifications; RobotHOT, September 5; ChinaBiz Insider on the Taskor launch; Sina Finance on HeymanDex’s funding and investors; A3 glossary, robot accuracy vs repeatability; Shenzhen Stock Exchange IPO filing record.

    CIIF 2026 Dasheng 1 dexterous hands Factory Automation HeymanDex industrial robotics KUAVO 5-W Leju Robotics Taskor
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    Jack Lee
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    Jack Lee is an editor at Robots Daily and a graduate of Northwest University in Xi’an, China. He covers China’s robotics industry, with a particular interest in robot design, engineering and the technology behind new products. His reporting spans humanoid robots, quadruped robots, industrial automation and embodied AI, with a focus on how robots work and how their capabilities translate into real-world applications.

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