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UID:f42e9503-03c9-4569-abd3-aa32d0fcbe41@360exp.net
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DTSTAMP:20260816T000812
DTSTART;TZID=Asia/Kolkata:20260829T043000
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SUMMARY:IOT & Robotics-ROS - 2 Days Workshop at IIT Madras Research Park
LOCATION:IIT Madras Research Park
DESCRIPTION:Tech Workshop Series 2026 by Techobytes with Globally Recogniz
 ed Certification.2-Day Workshop Pass Includes:Hands-on training\, practica
 l demonstrations\, certification\, and lunch during the workshop.Course Co
 ntentDuration: 2 Days (14-16 HRS)Eligibility:Open to AllB.Tech\, B.E.\, M.
 B.B.S.\, BCA\, MCA\, MS\, MD\, B.Sc IT\, M.Sc IT\, Biomedical\, Biotechnol
 ogy\, BBA\, MBA\, B.A.\, hobbyists\, and more.Day 1 First Half: Foundation
 s in Robotics & AI ● Workshop Overview & Objectives ● Introduce the vi
 sion: building a robotics platform that leverages AI-powered computer visi
 onfor intelligent decision-making.● Outline the key components: robotics
  mechanics\, electronics integration\, AI using YOLO\, andMQTT messaging.
 ● Robotics & Electronics Essentials ● Core Concepts: Brief review of t
 he essential robotics system (e.g.\, robotic arm or mobilerobot) and the r
 ole of embedded electronics.● Power & Motor Control: Highlight the key p
 oints of integrating BLDC motors (or otheractuators) and electronic speed 
 controllers.● Introduction to AI & Computer Vision ● Overview of YOLO:
  Explain the “You Only Look Once” object detection algorithm—itsbene
 fits for real-time applications and relevance in robotics.● ESP Cam as a
  Vision Sensor: Introduce the ESP Cam as an affordable\, lightweight solut
 ionfor capturing live video and running basic vision tasks.● Fundamental
 s of MQTT Communication ● MQTT Basics: Outline the publisher–subscribe
 r model and its suitability for lightweight\,real-time messaging between s
 ensors (ESP Cam) and the robot’s control unit.● Role in Robotics: Disc
 uss how MQTT can facilitate communication for AI-based decision-making and
  control.Second Half: Hardware Assembly & Initial Setup ● Robotics Platf
 orm Assembly ● Essential Mechanical Setup: Assemble the key structural c
 omponents of the roboticsplatform with an emphasis on mounting locations f
 or sensors and actuators.● Minimalist Approach: Focus only on the critic
 al structural elements needed to support theESP Cam and motion components.
 ● Electronics Integration ● ESP Cam Installation: Mount and wire the E
 SP Cam on the robotics platform\, ensuring anoptimal field of view.● Bas
 ic Wiring & Power Distribution: Connect the ESP Cam and core motor control
 lers to thepower source\, emphasizing safe and reliable wiring.● Initial
  Programming & MQTT Setup ● ESP Cam Basics: Upload simple code to the ES
 P Cam for image capture and streaming.● MQTT Connectivity: Configure the
  ESP Cam (or an associated microcontroller) to publishbasic status or imag
 e metadata to an MQTT broker.● Demonstration & Troubleshooting: Run init
 ial tests to verify that the ESP Cam streams dataand sends MQTT messages s
 uccessfully.Day 2 First Half: Advanced AI Integration with YOLO on ESP Cam
  ● Deep Dive into YOLO ● Understanding YOLO: Explain the workings of Y
 OLO (or Tiny YOLO for constraineddevices)\, including network architecture
 \, detection thresholds\, and bounding box outputs.● Adaptations for Emb
 edded Systems: Discuss considerations when deploying YOLO onresource-const
 rained devices like the ESP Cam (or interfacing with a nearby processing u
 nit).● Programming AI on the ESP Cam ● Integrating YOLO: Walk through 
 the process of setting up a YOLO model (or connecting to aremote server ru
 nning YOLO) to process live video from the ESP Cam.● Real-Time Object De
 tection: Develop code that captures images\, runs YOLO for objectdetection
 \, and identifies key objects in the scene.● MQTT-Driven AI Messaging 
 ● Data Packaging: Show how to package YOLO detection results (e.g.\, obj
 ect type\,confidence\, position) into MQTT messages.● Publishing Results
 : Configure the ESP Cam or its companion processor to publish detectionmes
 sages to the MQTT broker.● Hands-On Coding: Participants update and test
  their code to ensure that AI-based detectionsare transmitted in real time
  via MQTT.Second Half: System Integration\, Testing & Optimization ● Int
 egrating AI with Robotic Control ● End-to-End Communication: Connect the
  MQTT messages from the ESP Cam to the mainrobotics control unit (e.g.\, a
  microcontroller or onboard computer) that will act on the detectedobjects
 .● Decision-Making Logic: Implement basic logic so that the robot respon
 ds to AI detections(for example\, altering its path or activating specific
  behaviors when an object is detected).● Testing ● Live Demonstration:
  Run the robotics platform in a controlled environment where the ESPCam pe
 rforms object detection using YOLO\, and MQTT messages drive robotic respo
 nses.● Performance Evaluation: Evaluate response times\, detection accur
 acy\, and messagingreliability.● Parameter Tuning: Adjust YOLO threshold
 s\, MQTT message frequencies\, and control logicbased on testing feedback.
 ● Wrap-Up & Future Directions ● Final Demonstration: Present a full de
 monstration of the integrated system whereAI-powered object detection info
 rms robotic actions in real time.● Discussion & Q&A: Open discussion on 
 challenges\, solutions\, and potentialapplications—ranging from automate
 d navigation to swarm robotics.● Resources & Next Steps: Provide pointer
 s for further exploration in embedded AI\, advancedMQTT integrations and s
 caling up next-gen robotics solutions.& Fine-Tuning CertificationAll parti
 cipants will receive a globally recognized hardcopy certificate after the 
 workshop.Workshop Pass Includes:Hands-on training in IoT and Robotics_ROS\
 , practical demonstrations\, certification\, and lunch for all participant
 s. Key Benefits:✔️ Hands-on workshop with real-world use cases✔️ I
 ndustry-driven curriculum✔️ Exposure to leading tech tools and AI appl
 ications✔️ Mentorship from domain experts✔️ Networking opportuniti
 es with professionals\n\nBoletos: https://www.district.in/events/iot-robot
 icsros-2-days-workshop-at-iit-madras-research-park-jan31-2026-buy-tickets
URL;VALUE=URI:https://360exp.net/events/f42e9503-03c9-4569-abd3-aa32d0fcbe
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