top of page
RGO Robotics Logo
Search

wheel.me self-driving Robots Use RGo and NVIDIA Isaac Platform to Transform Everyday Objects

Writer: Alon Zehngut
Alon Zehngut
Oct 21, 2024
4 min read

Updated: Dec 17, 2024

Update: Discover how AI and perception are revolutionizing mobile robotics in Episode 173 of The Robot Report Podcast. Join Amir Bousani, CEO of RGo Robotics, and Jacob Petersen, Chief Commercial Officer of Wheel.Me, as they delve into the innovations driving the future of autonomous mobility.

Introduction

In the rapidly evolving world of robotics, wheel.me stands out with its ambitious mission: to transform anything that moves into an autonomous mobile robot. This case study explores how wheel.me, in collaboration with NVIDIA and RGo Robotics, developed a cutting-edge solution that's reshaping the landscape of mobile robotics.


Wheel.me’s mission is to transform anything that moves into an autonomous mobile robot. For an AMR to deliver value, it needs to work everywhere, all the time, and make intelligent decisions. This is where RGo Robotics and NVIDIA come into the picture. RGo turns every AMR into an intelligent one by giving it human-level perception and the visual-spatial information needed to make smart decisions. NVIDIA provides powerful GPU-accelerated computing, the NVIDIA Isaac robotics platform , and advanced AI capabilities available at the edge to enable all of it to happen.   


Phase One - build a robot that works everywhere, all the time

Wheel.me decided to build its next generation of robot, Genius 2, with the NVIDIA Jetson Orin platform and RGo Perception Engine, leveraging ROS as much as possible. Key considerations included time to market and getting the best and more adaptable perception solution, recognizing that perception is at the core of an intelligent AMR.




NVIDIA Jetson is a powerful platform for edge AI and robotics encapsulating a perception-centric approach that enables easy integration, through ROS, to multiple applications and tools like fleet management.


RGo Perception Engine is a software stack that uses a range of proprietary compute vision and AI algorithms (including visualSLAM) to provide real-time 6DoF localization information everywhere, even in dynamic and complex environments and outdoors.


Putting it all together quickly, into a deployable solution involved technical choices and decisions including:


  • Sensor support – including choosing the right sensors, connectivity and SW support.

  • Design architecture - whether to run native, YOCTO or as a modern container. The wheel.me team decided on the latter, enabling modern CI/CD container stack while making the most out of the resources available on NVIDIA Jetson Orin.

  • Shared resource management – Dealing with the resource management challenges of a platform that shares a single compute system between the perception, autonomy and application stack. This required ensuring proper resource availability for the soft-real-time compute-intensive computer vision, 3D and AI applications (such as RGo’s online Perception solution) while balancing higher level applications requirements in the shared compute environment.


The wheel.me team, with the help of the experienced team at RGo, managed to bring up a solution within a few months leveraging the ready-to-use NVIDIA Jetson Orin system-on-modules and JetPack software stack with native ROS support.  


Migration from industrial PC to modern GPU-accelerated computing is never easy, let alone while adding intensive computer vision, 3D perception and AI workloads. However, NVIDIA’s perception-centric design and software support enabled a seamless transition and upgrade. Utilizing the modern container architecture, wheel.me and RGo worked seamlessly on the NVIDIA Jetson software stack for efficient real-time perception and autonomy.


The wheel.me platform is now running in production in the most demanding environments, turning everything that moves into autonomous intelligent robots.



Phase two – Take robot intelligence to the next level with AI

Once the basics of navigation everywhere, all the time, is solved, the wheel.me team is looking at how to take their platform to the next level, leveraging the latest advancements in AI.


Having built their robot on GPU-accelerated compute like NVIDIA Jetson, vision and AI perception software from RGo and ROS framework, wheel.me has the foundation layer for quickly adopting and deploying advanced AI capabilities into their solution.  


Among the challenges that the wheel.me and RGo are looking to solve are site commissioning. The time between when the first robot gets into the warehouse and the last engineer/operator is out is considered one of the biggest bottlenecks of adopting automation at scale. Reliable and accurate perception in combination with advanced AI has the potential to significantly alleviate this pain. Among the solutions currently being explored:


  • Automating robot commissioning by leveraging 3D vision, semantics and learning algorithms from both RGo Perception Engine and NVIDIA Isaac Perceptor (including CUDA accelerated libraries like nvblox)

  • Connect through ROS to NVIDIA Omniverse and Isaac Sim, leveraging digital twin for planning and testing the commissioning


RGo already integrated its perception stack with some NVIDIA Isaac capabilities on the Nova Carter reference robot, showing promising results for achieving the desired goal of streamlined commissioning. The teams are now integrating the advanced capabilities onto the wheel.me robot to test in real customer environments.


Summary

The collaboration between wheel.me, NVIDIA, and RGo Robotics has yielded impressive results:

  1. Rapid development cycle: The team brought up a solution in just a few months.

  2. Seamless transition to GPU-accelerated compute with intensive computer vision workloads.

  3. A production-ready platform operating in challenging environments.

  4. Foundation for quick adoption and deployment of advanced AI capabilities like 3D vision perception, semantic understanding and object detection.

As wheel.me continues to push the boundaries of what's possible in autonomous mobile robots, their work with NVIDIA and RGo Robotics positions them at the forefront of innovation in the field.


Ready to bring human-level perception and intelligent decision-making to your robotics solutions? Contact us to learn how RGo Robotics can empower your AMRs with cutting-edge perception and AI technologies.



 
 
 

65 Comments


b9ciem
4 days ago

I have been looking for more compact games to play in the browser instead of installing another app. Choicer Voicer is easy to open and gives enough challenge to make a second attempt worthwhile.

Like

Miler King
Sep 28

I was looking for a simple explanation of 10.0.0.1, and this information made the process much easier to understand. Thanks for sharing.

Like

Elso Rauhane
Elso Rauhane
Sep 28

Mình có lần lướt đọc mấy trao đổi trên mạng شيخ روحاني thì thấy nhắc nên cũng tò mò mở ra xem thử cho biết. Mình không tìm hiểu sâu جلب الحبيب chỉ xem qua trong thời gian ngắn để quan sát bố cục جلب الحبيب cách sắp xếp شيخ روحاني các mục và trình bày nội شيخ روحاني dung tổng thể. Cảm giác là các phần được trình bày khá gọn, các Huren Berlin mục rõ ràng nên đọc lướt cũng không bị rối với mình như Hurentest Berlin vậy là đủ để nắm tin cơ bản rồi. جلب الحبيب

,

,


Like

happymod
Sep 18

HappyMod sayfasındaki kullanıcı odaklı anlatımı faydalı buluyor. Uygulamaların özellikleri, sürüm bilgileri, kategorileri ve kurulum adımlarının sade biçimde açıklanması yeni kullanıcıların konuyu anlamasını kolaylaştırıyor

Like

pryg23
pryg23
Sep 14

LTDTOTO

LTDTOTO ALTERNATIF

LTD TOTO

RTP LTDTOTO

SITUS LTD TOTO

TOTO

SLOT 4D

I love the art style—it’s unique and visually appealing,thank you

Like
bottom of page