Daedong and Doosan Robotics to Enter the AI Agriculture and Field Robot Market
Daedong and Doosan Robotics to Enter the AI Agriculture and Field Robot Market
-. Joint development of AMMR solutions for smart farms and outdoor environments to drive global market entry
-. Daedong’s autonomous driving robot technologies combined with Doosan Robotics’ robotic arm solutions to accelerate commercialization
-. Both companies to lead the global agri-industrial robot market and respond proactively to large-scale field robot demand
A new generation of agricultural field robots is poised to emerge as Daedong’s autonomous mobility platform converges with Doosan Robotics’ advanced robotic arm technologies.
Daedong (Co-CEOs Kim Jun-sik and Won Yu-hyun), a leader in future agriculture, announced on October 20 that it signed a Memorandum of Understanding (MOU) with Doosan Robotics (CEO Kim Min-pyo) to jointly develop on-device AI technologies and expand cooperation in agri-industrial robotics.
Under the agreement, the two companies will work together to develop Autonomous Mobile Manipulator Robots (AMMR)[i] designed for smart farms and outdoor work environments, while establishing the technological and commercial foundation required to enter the global field robot market. The partnership brings together the core strengths of both companies. Daedong will apply its AI-based autonomous driving systems used in carrier robots and self-driving agricultural machinery, while Doosan Robotics will contribute its industry-leading collaborative robot and precision control technologies. The collaboration will center on four areas: ▲ Development of field robots for smart farm operations; ▲ Development of general industrial field robots; ▲ Development of on-device AI; and ▲ Joint expansion into the global field robot market.
In the field robot domain, Daedong will take charge of designing, manufacturing, and refining autonomous mobility platforms using extensive data generated in agricultural and outdoor settings. Doosan Robotics will develop work-robot systems that integrate its robotic arm and advanced control technologies. Based on these combined capabilities, the companies will introduce AMMR solutions for smart farming and industrial applications. They will also work together to build the integrated software and hardware platforms that will support broader commercial deployment of field robots.
To advance the commercial use of on-device AI, Daedong will oversee system-integration testing of the System on Chip (SoC)[ii], which acts as the robot’s core AI processor. Daedong will also focus on developing a physical AI foundation model and database optimized for agricultural environments. Doosan Robotics will participate in defining SoC specifications and will lead development of AI algorithms and firmware, enabling intelligent robot control and real-time environmental perception. The companies plan to develop on-device AI robots[iii] capable of real-time recognition, decision-making, and autonomous operation, and will work together to address large-scale government initiatives that require field robot deployment.
The MOU signing ceremony, held on October 17 at the Doosan Robotics Innovation Center in Bundang-gu, Seongnam-si, Gyeonggi-do, was attended by Daedong CEO Won Yu-hyun, Executive Vice President Na Yeong-jung, Daedong Mobility Executive Vice President Kang Seong-cheol, and Daedong Robotics CEO Yuh Jun-goo. Doosan Robotics was represented by CEO Kim Min-pyo, Executive Vice Presidents Cho Gil-seong and Oh Chang-hoon, and Senior Vice President Lee Woo-seop. The two companies discussed detailed plans for technological cooperation.
________________________________________
[i] Autonomous Mobile Manipulator Robot (AMMR): A next-generation mobile robot that combines an autonomous platform with a robotic arm to perform complex tasks.
[ii] System on Chip (SoC): A semiconductor chip that integrates multiple electronic circuits and functions into a single unit.
[iii] On-device AI robot: An intelligent robot equipped with an internal SoC capable of real-time perception, decision-making, and control.