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HD Hyundai Robotics, Palantir to slash robot programming costs with AI

HD Hyundai Robotics is working with Palantir Technologies to integrate artificial intelligence (AI), simulation and human engineers’ expertise into robot programming, aiming to cut programming costs by more than half. According to HD Hyundai Robotics on Sunday, Ahn Sung-hwan, the company's chief technology officer and vice president, outlined the collaboration during a keynote address at…

HD Hyundai Robotics, Palantir to slash robot programming costs with AI

HD Hyundai Robotics and Palantir are collaborating to revolutionize robot programming costs through the integration of artificial intelligence (AI), simulation, and human expertise. The aim is to slash programming expenses by over half. Ahn Sung-hwan, HD Hyundai Robotics' chief technology officer and vice president, unveiled this partnership during a keynote speech at Palantir's Sovereignty Bootcamp in New York. He discussed the company's approach to leveraging physical AI and its long-term vision for the technology.

The focus of this collaboration is to transform how human engineers tackle issues on factory floors. By utilizing AI, the companies plan to modify the traditional methods employed by skilled engineers, who currently need to observe robots in person and make repeated adjustments to work sequences, paths, and speeds. This individual-centric approach has made the process challenging to standardize.

Under the agreement, AI agents will analyze existing robot programs and suggest enhancements. Engineers can then refine these suggestions based on their practical experience. In essence, AI will augment the capabilities of human engineers, reducing the reliance on individual experience and making the programming process more efficient and standardized.

Written by urgent.news from The Korea Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 2 other outlets

Read the original at koreatimes.co.kr →

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Multi-Turn Jailbreaks Against AI Agents With Tool Access

Originally published on robatdasorvi.com The defense against a multi-turn jailbreak on an AI agent is to stop the tool call, not the conversation.

  • Multi-turn jailbreaks bypass AI guardrails by spreading attacks over several turns.
  • Refusal occurs within model, while tool call happens outside model's scope.
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