November 2023

 In media, Newsletters

November 2023 News Letter

In Focus: Webinar on AMR Trends, AMR-focused Case Studies, and Other Helpful Resources.

eInfochips & Qualcomm Technologies Inc. present an insightful webinar on trends and technologies to enable Autonomous Mobile Robots (AMRs) for enterprises.

eInfochips & Qualcomm Technologies Inc. present an insightful webinar on trends and technologies to enable Autonomous Mobile Robots (AMRs) for enterprises.

📢🤖Join our upcoming webinar to learn about latest trends and considerations for AMRs. Discover how our team has enabled multiple AMR proofs of concept as well as solutions for end clients and applications.

Wi-Fi connectivity testing for Robotic Lawnmowers

Wi-Fi connectivity testing for Robotic Lawnmowers

🌿🤖🤝 eInfochips enabled continuous Wi-Fi for a top landscaping company’s robot mower by applying wireless testing expertise to seamlessly network the roving bots across expansive lawns in all conditions. Learn how mowers can now reliably transmit data.🤖🤝

Vision- Based Pool Cleaning System

Vision- Based Pool Cleaning System

➡️The client wanted the next-gen product to have intelligent automation and features such as vision-based underwater debris detection. Read the case study to uncover groundbreaking engineering excellence by eInfochips! 🤝📑⬇️

Resources

Application of AMRs in Warehouses.

Application of AMRs in Warehouses.

AMRs are revolutionizing warehouses. Unlike old-school AGVs, these smart bots use sensors and AI to navigate, transport inventory, clean, and more, without needing humans to hold their metaphorical hands.

Sensor Fusion in Autonomous Mobile Robots - enabling AMRs to navigate safely and precisely.

Sensor Fusion in Autonomous Mobile Robots – enabling AMRs to navigate safely and precisely.

Sensors Assemble! Autonomous bots are fusing data from their radar, lidar, and cameras to navigate the world. With the power of sensor fusion, these robots overcome their individual sensor weaknesses to get the job done.

AMR Navigation using Isaac ROS VSLAM and Nvblox with Intel Realsense Camera

AMR Navigation using Isaac ROS VSLAM and Nvblox with Intel Realsense Camera

NVIDIA’s Isaac ROS enables autonomous navigation by covering computer vision and parallel processing. By synergizing camera images, AI, and GPUs, robots can now skillfully map environments and self-locate to traverse robustly.

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