Bridge swarm robotics, edge IoT intelligence, fleet telemetry, and real-time cloud-coordinated autonomous machines.
IoRT unites the sensing capabilities of IoT with the actuation and spatial intelligence of robotics. Learn swarm fleet coordination, cloud-to-robot telemetry, edge AI inference on robotic platforms, and industrial warehouse fleet orchestration.
12 weeks · 48 guided hours · 4 hours / week · ₹9,999
Syllabus
- IoRT Paradigm & Edge Robotic Nodes: Understanding the synergy of sensor telemetries, cloud coordination, and autonomous physical agents.
- Fleet Networking & Real-Time Telemetry: Low-latency bidirectional data pipelines between distributed mobile robots and cloud control towers.
- Edge Vision & Object Detection for Robots: Running lightweight deep learning models on edge accelerators for obstacle detection.
- Swarm Fleet Orchestration Capstone: Coordinating multiple autonomous robotic agents to dynamically fulfill delivery orders in simulated warehouse.
What you will learn
- IoRT architecture: perception layer, network federation, and actuation fabric
- Multi-robot fleet coordination and centralized task dispatching
- Edge AI inference for computer vision on mobile robotics (NVIDIA Jetson)
- Zero-latency WebRTC and WebSocket telemetry streaming
- Industrial smart warehouse fleet orchestration principles
Register for IoRT (Internet of Robotic Things)