Aptiv and Vecna Robotics team up on AMR material handling

The joint system integrates Aptiv PULSE sensing, ML-based path planning and VxWorks compute with Vecna’s CaseFlow workflow orchestration.

Aptiv PLC and Vecna Robotics announced a strategic collaboration to co-develop Autonomous Mobile Robot (AMR) solutions for material handling automation.

The collaboration combines Aptiv’s perception hardware, machine learning, and embedded compute with Vecna Robotics’ autonomy and workflow orchestration platform for industrial environments. Aptiv’s perception portfolio and machine learning technologies will be integrated into Vecna Robotics’ platform. The joint solution includes:

  • Perception and sensing hardware: Aptiv PULSE Sensor, a surround-view camera with ultrashort-range radar for 360-degree sensing.
  • Machine learning for perception and path planning: Aptiv Radar ML and Behavior ML for real-time perception and dynamic path planning.
  • Autonomy and workflow orchestration: Vecna Robotics’ platform for navigation and obstacle detection in mixed-traffic environments, with CaseFlow integration to coordinate workflows across people, forklifts, and automation systems.
  • Embedded software and compute: Aptiv’s compute platform, including the VxWorks real-time operating system and Wind River Helix Virtualization Platform, to support system design requirements.

Vecna Robotics provides AMRs for warehouse and factory environments, using its autonomy and Pivotal orchestration platform to coordinate robots, people, and workflows.

Aptiv will showcase Vecna Robotics’ CPJ Co-Bot Pallet Jack in its pavilion at CES 2026.

For more information, visit aptiv.com.

Written by

Puja Mitra

Puja Mitra has an MBA in Marketing and HR as well as an MA in Economics. As a Managing Editor, she has experience managing CAD, CAM, and CAE directories. She also handles design, BIM, manufacturing, digital transformation, and computing news. With over 12 years of editing experience, she has a particular interest in content and technical writing.