Embedded Systems & Electronics

Embedded Systems & Electronics Packaging

Hardware fails most often at the seams between electronics and mechanics. We design embedded systems and electronics packaging where controllers, power stages, sensor buses, and physical enclosures align on the first revision.

Embedded systems architecture, PCB packaging, and controller integration for robotic hardware

What we do

Practical support for targeted engineering work

YantriX provides end-to-end embedded hardware planning and integration for robotics, IoT devices, and industrial machinery. We architect the electronic subsystems — selecting optimal microcontrollers (ESP32-S3, STM32, RP2040) and edge AI compute (NVIDIA Jetson Orin), designing power distribution architectures (DC-DC regulators, battery management, power sequencing), integrating motor drivers (stepper, BLDC, servo), and establishing robust communication buses (CAN bus, RS-485, I2C, SPI, UART). Through tight 3D ECAD-MCAD workflows, we synchronize PCB layouts directly into SolidWorks CAD assemblies to verify connector clearances, component height envelopes, thermal dissipation paths, and fastener placements before fabrication.

What problems we solve

  • Eliminate costly enclosure redesigns caused by misaligned connectors, screw boss interference, or component height clashes.
  • Solve thermal dissipation bottlenecks in sealed IP-rated enclosures using thermal interface materials (TIM), chassis conduction, and CFD validation.
  • Prevent signal corruption and EMI noise coupling between high-current motor drivers and sensitive sensor/encoder lines.
  • Architect clean power distribution networks with proper voltage regulation, transient protection, and battery safety.
  • Accelerate physical prototyping cycles by validating 3D-printed enclosure fit with live electronic assemblies within 48 hours.

Tools we use

  • ESP32-S3 / ESP-IDF & FreeRTOS
  • STM32 / STM32CubeIDE
  • NVIDIA Jetson Orin Nano & NX
  • SolidWorks ECAD-MCAD 3D Integration
  • KiCad & Altium 3D STEP Workflows
  • CAN bus, RS-485, I2C, SPI & UART
  • Digital Oscilloscopes & Logic Analyzers
  • Thermal Imaging & Multimeter Bench Tools

Deliverables

  • System architecture block diagrams and pinout mapping documentation
  • 3D PCB STEP models for mechanical enclosure interference and tolerance stack-up analysis
  • Power budget calculations, battery sizing sheets, and regulator thermal specs
  • Wiring harness schematics with connector specifications (JST, Molex, Anderson, screw terminals)
  • Firmware bring-up scripts, peripheral test code, and ROS 2 hardware interface guidelines

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Use cases

Industries where this service applies

We adapt the same engineering service to different product contexts depending on the load case, packaging problem, validation target, or deployment environment.

Autonomous Mobile Robots (AMRs) & AGVs

Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for autonomous mobile robots (amrs) & agvs applications.

Robotic Arms & Mechatronic Actuators

Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for robotic arms & mechatronic actuators applications.

Industrial IoT Gateways & Sealed Enclosures

Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for industrial iot gateways & sealed enclosures applications.

Smart Agricultural & Environmental Monitoring Devices

Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for smart agricultural & environmental monitoring devices applications.

Automated Test Jigs & Production Fixtures

Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for automated test jigs & production fixtures applications.

Related work

Case studies tied to this service

See how this engineering capability applies across real project scopes, analysis goals, and physical prototype iterations.

Edge AI · On-device inspection

On-Device Edge Vision Defect Detection on ESP32-S3

A production conveyor inspection camera running a quantized INT8 CNN entirely on an ESP32-S3 — 18 FPS at 0.4 W, no cloud, 6× lower capex per station.

Robotics · Autonomous Mobile Robot (AMR)

Autonomous Mobile Robot (AMR) Platform Development with Nav2 & LiDAR SLAM

End-to-end development of an 80 kg payload industrial AMR — custom skid-steer chassis, Nav2 autonomous navigation, LiDAR SLAM, and ESP32 motor controller integration in 16 weeks.

CAD Design · Mechanical & DFM

DFM Architecture & Injection Mold Optimization for IP67 IoT Enclosure

Complete CAD design and DFM optimization for a multi-part outdoor IoT enclosure in polycarbonate — 1.5° uniform draft, overmolded silicone gasket, and moldflow sink-mark elimination.

Thermal engineering

Conjugate Heat Transfer & Thermal Analysis for Sealed Electronics Enclosure

How CFD-based conjugate heat transfer caught a 14 °C hotspot in a sealed IP66 enclosure before prototype — saved an estimated 2 mold revisions and 7 weeks of rework.

From the blog

Articles that support this service topic

Explore practical engineering guides related to design, manufacturing, simulation, and product development.

Edge AI

Deploying YOLO on Jetson in India: 2026 Production Playbook

The production playbook for deploying YOLOv8 / v11 on Jetson Nano / Orin in Indian factories — quantization, TensorRT, OTA updates, monitoring, and the gotchas you only learn from shipping.

Simulation

Thermal analysis for electronics enclosures: CFD, CHT & Heat Dissipation Guide

How CFD thermal analysis with Conjugate Heat Transfer (CHT) catches hotspots, optimizes heatsink fins, and balances IP67 sealing with heat dissipation in electronics enclosures.

Applied AI

AI & ML Services in India: 2026 Buyer's Guide for Engineering Teams

A practical 2026 guide to sourcing AI and ML services in India — what's available, realistic project costs, when to outsource vs hire, and how to evaluate Indian AI vendors.

FAQ

Questions teams ask before they engage

Common questions teams ask before starting a project.

How do you coordinate mechanical CAD with electronic PCB design?

We use a bidirectional 3D ECAD-MCAD workflow. The board outline, mounting hole locations, keep-out zones, and critical connector positions are established in SolidWorks and exported to the PCB layout environment. Once routed, the populated 3D PCB assembly (STEP/IDF) is re-imported into our master CAD assembly to verify clearance against ribs, walls, and thermal pads.

Which microcontrollers and compute modules do you work with?

We regularly architect solutions around ESP32-S3 (Wi-Fi/Bluetooth IoT & edge sensing), STM32 series (hard real-time motor control and safety loops), Raspberry Pi / RP2040 (rapid interface prototyping), and NVIDIA Jetson Orin Nano / NX (on-device AI, computer vision, and ROS 2 robotic perception).

Can you help select motor drivers, sensors, and power stages for robotics?

Yes. We size and specify motor controllers (BLDC ESCs, FOC drivers, stepper drivers), magnetic/optical encoders (AS5600, AMT102), IMUs (BNO055, MPU6050), and DC-DC power converters based on peak load current, voltage drop, and thermal operating limits.

How do you handle thermal management for sealed electronics enclosures?

For sealed IP65/IP67 enclosures, we design conduction cooling paths that transfer heat from hot components (MOSFETs, voltage regulators, processors) directly to aluminum chassis walls or exterior heatsink fins using silicone thermal pads and gap fillers, backed by CFD thermal analysis.

What is your typical embedded development and prototyping process?

We begin with functional requirements and power budgeting, select core silicon and connectors, validate critical circuits on breadboard/dev kits, perform 3D mechanical packaging integration, fabricate prototype boards, 3D print custom test enclosures in-house, and perform live firmware bring-up on our test bench.

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