Our CEO and Co-Founder Daniel Langkilde recently shared insights in Forbes about how Embodied AI is transforming autonomous systems—and why human feedback remains essential to getting it right.
In his article, "The Potential of Embodied AI", published on Forbes Tech Council, Daniel explores how autonomous systems are evolving beyond simple perception tasks to understanding context, intent, and human expectations.
Key Insights:
- Human Feedback Drives Alignment: As AI systems move into the physical world, they must do more than avoid obstacles—they need to behave in ways that feel safe, natural, and aligned with human expectations. This requires continuous human feedback to guide, validate, and refine model behavior.
- From Bounding Boxes to Behavior: The annotation challenge is shifting from labeling objects to evaluating actions, ranking trajectories, and teaching models to navigate complex social interactions. Kognic is building the platform to support this evolution.
- Cost-Efficient Scalability: As autonomous systems proliferate across driving, robotics, and manufacturing, teams need platforms that deliver the most annotated data for their budget—combining automation, expert human feedback, and optimized workflows.
At Kognic, we're focused on enabling teams to integrate scalable, cost-efficient human feedback into their data pipelines. Whether you're training perception models or validating autonomous behavior, our platform ensures your systems are safe, reliable, and aligned with human intent.
Read the full article here, and learn more about how Kognic helps autonomy teams get the most annotated data for their budget.
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