Robotics and Autonomous Machines

Organizations across industries are finding ways to increase automation to improve processes, efficiency, and safety. From repetitive tasks on the factory floor to activities in agriculture, logistics, hospitality, and more, the use of autonomous machines and robots (AMRs) is changing how business gets done.

An autonomous machine or robot uses a sophisticated set of sensors, artificial intelligence, machine learning, and computing to plan its path and navigate through its environment. It employs navigation techniques like collision avoidance to slow down, stop, or reroute its path around objects, and then continue with its task.

eInfochips’ Robotics Center of Excellence

eInfochips has a dedicated team of engineers specializing in robotics applications to address evolving industry applications. We have strong expertise across the NVIDIA robotics suite, robotics platforms, ROS1/ROS2, Micro ROS, Isaac ROS Gems, AI/ML, and CUDA. Our team is supported by an in-house benchmarking lab for depth sensors and holds patents related to 3D object detection and depth camera performance.

Core Competencies

Perception (Vision, Audio)

Edge AI/ML

Cloud Digital

Cloud Digital

Autonomous Navigation (SLAM & VSLAM) 

Industries

Healthcare (Surgical, Assistive robots)

Logistics

Automotive (ADAS, Functional Safety)

Industrial

Why eInfochips for Robotics and Autonomous Machines?

Dedicated Robotics CoE

Subject Matter Experts, State-of-the-art infrastructure including Hardware lab, Image Tuning, Product testing

Products/Accelerators/IPs

Availability of Compute platforms, reference designs and proof-of-concepts, Evaluation Kits for AMR deployment

Strong experience in Edge AI & Machine Vision

Algorithm development and porting, camera & sensor integration, video analytics

Silicon to Software Capabilities

Best-in-the-world hardware-software integration expertise to cater to evolving robotics landscape – mobile manipulators, Sensor Integration, Visualization, Cyber security

Comprehensive expertise in ROS

Deep hands-on experience across ROS1/ROS2 architecture, middleware, and package development

Strategic partnership with InOrbit

AI-powered fleet management platform for real-time robot orchestration and operations

eInfochips Services

Consulting
Architecture & Design
Software
Simulation
AI/ML
Cloud
Testing & QA

eInfochips Services

Design Services
Software Services
AI/ML Services
Connectivity
Simulation Services
System Integration
Testing & QA
Cloud Services

Development Kits and Modules

Qualcomm – QRB5165 Robotics Platform

NVIDIA®
Jetson

NXP – i.MX93 Development Platform

Qualcomm AMR Reference Design

Whitepapers

Face on Edge: Real Time Face Recognition on Eragon/Snapdragon 845

Face on Edge: Real Time Face Recognition on Snapdragon 845

Semiconductor

Extreme Value Machine: An Algorithm for Open Set Classification

Past Webinars

Autonomous Mobile Robots: Trends and Technologies

unlocking-the-true-potential-of-testing-methodologies-by-leveraging-ai-ml-blog-fetaured

Leveraging AI techniques for advanced computer vison-based scene understanding in 2D and 3D domains

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Reference Designs

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