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오시코시 JLG 붐 리프트 (로봇 엔드 이펙터)
Best of InnovationRobotics로봇 공학자동화안전 기술건설 기술고층 작업산업용 로봇

오시코시 JLG 붐 리프트 (로봇 엔드 이펙터)

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Oshkosh Corporation

One-Line Product Definition

Robot Arm-Equipped Autonomous Aerial Work Platform (CES Best of Innovation Award) – An autonomous robot platform that combines a multi-joint robot arm and AI control device at the end of an industrial boom lift to perform complex tasks (welding, painting, installation) precisely and automatically at high locations. It is a solution that can automate large projects by operating multiple units together in the future.

Problem Definition

(Briefly reiterated as it is a similar problem context to #7) Aerial work in construction and industrial sites faces serious issues with worker safety risks and a shortage of skilled workers. In particular, precise welding or installation work had to be performed by people on aerial work platforms, which caused problems such as height restrictions, accumulated fatigue, and quality deviations.

In addition, performing work at multiple heights simultaneously requires a large number of workers and equipment, resulting in increased costs and process inefficiencies.

The JLG boom lift equipped with a robot end effector is designed with these problems in mind, replacing the role of multiple workers with a single piece of equipment and performing safe, consistent, high-quality work.

Key Differentiators

This product has excellent technical completeness and innovation, as evidenced by receiving the CES 2026 Best of Innovation Award in the Robotics category. With AI-guided control, the robot arm autonomously finds and performs precise tasks at high locations, for example, recognizing bolt positions with sensors and cameras to fasten them, or accurately welding along welding lines.Multi-sensor perceptionand 3D LiDAR, etc., are used to recognize surrounding structures and move and align to work points with autonomous navigation.

In addition, multiple robot lifts can communicate and collaborate with each other, allowing for cooperative work such as installing large structures simultaneously from both sides, or one unit holding parts while another takes over the welding. This goes beyond the level of work done by a single robot and implements teamwork between robots, which is the first attempt in the construction robot field.

Furthermore, linking with a digital twin/site management platform enables real-time monitoring and adjustment of work progress, enabling overall project optimization.

In summary, the biggest differentiator is that by attaching a precise robot end effector to an existing boom lift, a new category of robot is created that surpasses human capabilities in terms of both height and precision.

Key Benefits

(Almost identical to #7) Construction companies, heavy industry companies, and infrastructure management organizations will lead the adoption of this technology. In particular, high-rise building construction companies and large plant construction companies are expected to actively utilize it for work quality and safety.

In addition, organizations responsible for petrochemical facilities or bridge maintenance may also invest to assist/replace existing personnel.

Initially, equipment prices will be high and focused on pilot projects, so there is a possibility that it will be投入 into public infrastructure projects with government support or strategically purchased by large construction companies. In the long term, it may also be incorporated into the construction equipment rental industry, becoming a model for general construction sites to rent and use. (B2B/B2G focus)

Scalability

This technology can become a core part of future construction/industrial site automation strategies, so it has great scalability. Oshkosh has already gained external trust for the concept by winning the Best of Innovation award and is promoting technology internalization through the acquisition of Canvas, etc.

In terms of regulations, it can be used in various parts of the world by going through procedures such as robot safety standards and construction machinery certification. In particular, demand is expected to be high in regions experiencing a decline in construction workers due to aging populations, such as China, Japan, and Europe.

In terms of technology expansion, the robot end effector can be developed to perform multiple functions such as welding → grinding → painting by applying replaceable tools to one robot. In addition, similar robot arms can be applied to other types of aerial equipment (e.g., scissor lifts) or ground cranes, which can increase the product line.

Ultimately"Autonomous Construction Site"Under this vision, this technology has the potential to be linked with various automated machines and expanded into a smart construction platform.

Judges' Evaluation

At CES 2026,winning the Best of Innovation Award in Roboticswas highly praised for opening *

Market experts also predicted that this technology would lower the barriers to entry in the construction industry and create a completely new competitive landscape. In particular, construction trade magazines noted that *

However, since it is currently in the concept disclosure stage, from a realistic perspective, there is also advice that "it is necessary to wait and see how well the prototype responds to the variability of the actual site." Oshkosh claimed high completeness by showcasing actual operating videos at CES, and JLG raised industry expectations by mentioning *

Overall, the engineering/robotics community is accepting this award as *

Analyst Insights

🧪 R&D and concept verification stage – Although it has proven its potential by winning the CES Best of Innovation Award, it is still in the conceptual stage before commercialization, requiring on-site demonstration and market maturation. However, if technology ripple effects are large and development continues in the future, it will develop into a solution that will revolutionize the industry.

The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)

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