Robotics and Autonomous Machines

Every industry strives to enhance operations, efficiency, and safety by increasing automation. The use of autonomous machines/robots is changing the way businesses are run, from repetitive factory floor work to operations in warehouses, agriculture, logistics, surveillance, and other sectors. Autonomous robots are robotic devices capable of operating and navigating in dynamic environments without constant human supervision or control. Using a navigation technique like collision avoidance to slow, stop, or redirect their journey around the obstacle, and then resume their activity. They have several cameras and sensors, as well as AI/ML algorithms and onboard processing. Manufacturing, logistics, healthcare, retail, and smart cities are all large industries that have invested heavily in the deployment of autonomous robots.

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To enable Autonomous Mobile Robots and Machines, eInfochips has built a Robotics Centre of Excellence (CoE) with a strong team of subject matter specialists in hardware design, sensor integration, AI/ML, and camera development. eInfochips develops autonomous systems for intelligent navigation, remote monitoring, surveillance, and industrial automation. eInfochips has multiple strategic partnerships with leading platform suppliers like as NVIDIA, Qualcomm, and ADI, through which our team has developed several proof-of-concepts using their robotics-specific hardware and software tool chain. We have a strong partner ecosystem and are dedicated to contributing to collaborative innovation with our clients.

Why eInfochips?

Expert in AMR (Autonomous Mobile Robots), Manipulators, and Drones

In-house depth sensor benchmarking lab

Extensive understanding of the NVIDIA robotics suite, platforms, ROS1/2, Micro ROS, Isaac ROS gems, AI/ML, CUDA

Strategic partnerships with technology leaders such as NVIDIA, Qualcomm, NXP, and ADI

Deep experience in AI/ML, model development, and training

Cloud enablement partnerships with Amazon and Microsoft

State-of-the-art infrastructure – Hardware Lab, Image Tuning Lab, and Wireless / RF testing lab

Robotics Specific Experience/Snapshot

eInfochips Services

Hardware Design

  • Hardware Design (PCB design, PoC)
  • Power Optimization
  • Firmware Embedded Services
  • Edge Computing (NVIDIA, Qualcomm, Ambarella, NXP)
  • Algorithms: VSLAM, Stereo depth estimation, navigation

Digital

  • Software: ROS2, ROS1, OpenCL, Docker, Containers, CUDA, drivers
  • IoT Solutions & Services
  • Cloud Services & DevOps
  • Mobility Solutions
  • AI/ML/DL Services
  • Remote Device Management
  • Digital Twin (Scene creation and Simulations , URDF, Gazebo, ISAAC SIM)

Sensing

  • Camera design services
  • Image Tuning
  • Sensor Integration (Camera tuning, Depth camera, LiDAR 2D/3, IMU)
  • Sensor Fusion

Quality

  • Product & IoT Testing
  • QA Automation
  • Cognitive QA
  • Mobile/ Web Testing
  • Compliance & Certification

Connectivity

  • RF Antenna Services
  • Wireless Testing
  • Cloud Connectivity

Others

  • Re-engineering
  • Industrial/ Mechanical Design
  • Electrical Design
  • Sustenance/ Obsolescence

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    Kits and Modules

    Qualcomm – QRB5165 Robotics platform

    Nvidia
    Jet carrier board

    NXP – i.MX93 development platform

    Blogs and Success Stories

     Autonomous Machines: Technologies & Platforms to lookout
    Autonomous Machines: Technologies & Platforms to lookout
    Today, the finances and resources spent on research and development in robotics and automation technology have seen an exponential increase. With advancements in technology, we have seen the adoption of robots across various sectors including industrial, manufacturing, consumer, and many more.
    From Concept to Completion: Streamlining 3D Scene Creation for Robotics with Nvidia Isaac Sim and Blender
    From Concept to Completion: Streamlining 3D Scene Creation for Robotics with Nvidia Isaac Sim and Blender
    The article discusses the benefits and challenges of combining Blender and Nvidia Isaac Sim to create realistic simulations for robotics applications. By integrating Blender's 3D modeling and animation capabilities with Nvidia Isaac Sim's simulation software, more detailed and accurate models can be developed for testing and refining algorithms.
    Sensor Fusion – Part 1
    Sensor Fusion – Part 1
    This blog is the first part of a two-part series in which we will introduce the usage of sensor fusion in Autonomous Mobile Robots (AMRs) that are enabled to work with ROS 2 (Robot Operating System 2). In this part, we will introduce sensor fusion, briefly cover a sensor fusion algorithm called EKF (Extended Kalman Filters), and then walk through some of the experiments we did in simulation and on our AMR.
    Sensor Fusion – Part 2
    Sensor Fusion – Part 2
    This blog is the second part of a two-part series where we will introduce the usage of sensor fusion in Autonomous Mobile Robots (AMRs) that are enabled to work with ROS (Robot Operating System) 2. In the first part, we introduced sensor fusion, briefly covered a sensor fusion algorithm called EKF (Extended Kalman Filters), and then walked through some of the experiments we did in simulation and on our AMR.

    Success Stories

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