Elevate Your Robotics Solutions with Kobonet. Building on our own algorithms developed after several years of R&D, Kobonet integrates causal reasoning to overcome confounding factors, setting a new standard in intelligent, high-performance robotic systems.

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Pioneers in Advanced AI and Robotics

With over a decade of pioneering R&D in robotics and artificial intelligence, our expertise has culminated in Kobonet—a revolutionary leap forward. At Kobotik, we combine cutting-edge research with practical innovation to redefine what’s possible in intelligent robotic systems.


Explore the Best Services We Can Help You With

At Kobotik, we revolutionize the robotics industry with our custom robotic solutions development, AI-powered robotic process optimization, and advanced robotic training and simulation platforms, tailored to meet the unique needs of every business and maximize operational efficiency.


What Kobonet do ?

Discover the transformative benefits of Kobonet, our advanced causal model, designed to elevate robotic intelligence and performance through cutting-edge causal reasoning and deep learning integration.

Enhanced Problem-Solving Capabilities

Reduction of Spurious Correlations

Improved Adaptability and Flexibility


Frequently Asked Questions

Kobonet is a deep Q-network (DQN) model that integrates causal principles to enhance problem-solving capabilities. Unlike traditional DQNs that rely on associative learning, Kobonet uses the PEACE (Probabilistic Easy vAriational Causal Effect) formula to estimate causal effects, reducing spurious correlations and increasing decision reliability.

Integrating causal reasoning with Kobonet offers several benefits:

  • Enhanced Problem-Solving: Robots gain a better understanding of the causal structure of their environment, leading to more effective problem-solving.
  • Reduction of Spurious Correlations: By focusing on true causal relationships, Kobonet minimizes errors caused by confounding factors.
  • Increased Adaptability: Robots can adapt more quickly and flexibly to dynamic and complex environments.
  • Optimized Performance: Overall efficiency of robotic operations is improved without compromising speed or accuracy.

Kobonet enhances performance by using causal principles to better understand environmental interactions. This enables robots to:

  • Make More Accurate Decisions: Based on verified causal relationships rather than misleading correlations.
  • Respond More Reliably: By adapting their actions according to changes in the environment.
  • Maximize Efficiency: By optimizing robotic processes for better resource utilization and error reduction.

Kobonet is beneficial for various sectors, including:

  • Manufacturing: Improving the precision and efficiency of production processes.
  • Healthcare: Optimizing robotic systems for safer and more accurate medical interventions.
  • Logistics: Enhancing the reliability and flexibility of inventory and distribution management systems.
  • Agriculture: Better resource management and improved harvesting and planting techniques through deep causal understanding.
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