What makes the PULSE sensor different from older perception systems?

PULSE combines a surround-view camera with ultra-short-range radar for reliable 360-degree sensing while reducing blind spots, cost, and system complexity. By using early fusion of radar and vision on raw data, it enables efficient depth map creation and occupancy grid population for navigation and functional safety—capabilities designed to work in dynamic, dusty, wet, or reflective environments where conventional vision-only systems degrade.

When will the PULSE sensor be safety-certified for warehouse use?

The body states that Aptiv plans to obtain PL(d) certification for PULSE across relevant industrial safety use cases, but no timeline is specified.

What is Carter, and how does it work?

Carter is a collaborative mobile robot designed to augment existing warehouse operations and workforces. It is software-defined, allowing facilities to automate order-fulfillment picking, point-to-point transport, and mobile sorting without additional infrastructure investments. Robust.AI offers it using a performance-based robotics-as-a-service (RaaS) model to enable quick deployment and flexible scaling.

RoboticsThe Robot ReportJun 25, 2026Jun 26, 2026, 06:01 JST

Robust.AI picks Aptiv's PULSE sensor for Carter robot

Send on LINE

3 Key Points

What happened
Robust.AI selected Aptiv's PULSE sensor—a camera-and-radar perception system powered by machine learning—for its Gen 3 Carter collaborative mobile robot. Aptiv will pursue PL(d) certification, a high-reliability safety classification under ISO 13849-1, for the PULSE system across relevant industrial safety use cases.
Why it matters
Warehouse and manufacturing floors contain dust, glare, moisture, and reflective surfaces that degrade conventional vision-only sensors. By fusing radar and camera data, PULSE aims to deliver the safety-critical perception reliability that scaled warehouse automation demands—especially as robots operate with higher autonomy near people and equipment.
What to watch
The companies plan to accelerate AI-powered robotic workflows and establish the foundation for PL(d) certification across relevant industrial safety use cases. Aptiv demonstrated the PULSE sensor with Carter at Automate in Chicago this week.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

Get news like this every morning, free

FAQ

What makes the PULSE sensor different from older perception systems?: PULSE combines a surround-view camera with ultra-short-range radar for reliable 360-degree sensing while reducing blind spots, cost, and system complexity. By using early fusion of radar and vision on raw data, it enables efficient depth map creation and occupancy grid population for navigation and functional safety—capabilities designed to work in dynamic, dusty, wet, or reflective environments where conventional vision-only systems degrade.
When will the PULSE sensor be safety-certified for warehouse use?: The body states that Aptiv plans to obtain PL(d) certification for PULSE across relevant industrial safety use cases, but no timeline is specified.
What is Carter, and how does it work?: Carter is a collaborative mobile robot designed to augment existing warehouse operations and workforces. It is software-defined, allowing facilities to automate order-fulfillment picking, point-to-point transport, and mobile sorting without additional infrastructure investments. Robust.AI offers it using a performance-based robotics-as-a-service (RaaS) model to enable quick deployment and flexible scaling.

The Robot ReportRead Original Article

Send on LINE

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Get it free

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

XPeng brings full tech stack to Paris Automotive Summit

XPeng appeared at the Paris Automotive Summit, presenting not only automotive expertise but a broader technolo…

NEWDIGITIMES Asia3h ago

AIBotics closes NovaCore asset deal in Jamaica

AIBotics completed its acquisition of NovaCore Labs' operating assets from PlayJamaica Limited, gaining 10 ser…

Yahoo Finance AI7h ago

Google DeepMind's Gemini 4 Argon turns cornhole video into Apollo 2's seven straight shots

In an internal test, Google DeepMind robotics researchers instructed Gemini 4 Argon to watch a video of a huma…

IEEE Spectrum Robotics9h ago

Nvidia veteran Amulya Vishwanath: robotics still in its "Lego era"

Amulya Vishwanath, who spent seven years leading product marketing for Nvidia's robotics platforms, says robot…

TechCrunch AI9h ago

Rika Antonova on AI co-design for robot bodies and brains

Claire interviewed Rika Antonova of the University of Cambridge on the Robot Talk podcast about using AI to de…

Robohub15h ago

Even with physical AI, the worksite remains — author

An essay argues that after language models spread through cognitive work like writing and accounting, AI is no…

Zenn AI/ML15h ago

Next articleAnthropic: Alibaba used 25,000 fake accounts to clone Claude