Programme Content
Robotics ecosystem and introduction to cyber-physical systems
System-level architecture of robotic platforms
ROS2 fundamentals and programming (Python/C++)
Robot kinematics (forward and inverse), dynamics, and workspace analysis
Actuators, sensors, and mechatronic integration
Computer vision for robotics using OpenCV
Depth perception and multi-view geometry
Sensor fusion using LiDAR, IMU, and cameras
State estimation using Kalman filters and particle filters
SLAM (Simultaneous Localization and Mapping)
Event-based vision and neuromorphic sensing principles
Feedback control: PID, state-space methods, and adaptive control
Trajectory generation and path optimization
Motion planning for mobile and articulated robots
Model Predictive Control (MPC) for autonomous navigation
Human-robot interaction and collaborative robotics
ROS2 architecture, middleware, and communication models
Building perception stacks in ROS2
Navigation, localization, and planning frameworks
Manipulation pipelines and control integration
Simulation, testing, and validation using modern robotics simulators
Deep learning for robotics: CNNs, RNNs, and Transformers
Reinforcement learning: DQN, PPO, and Actor-Critic methods
Imitation learning and transfer learning for robotics
Vision-language models for robotic manipulation and task planning
Hardware security fundamentals for cyber-physical systems
Security vulnerabilities in robotic and autonomous systems
Secure boot, trusted execution, and encrypted communication
Resilient system design for fault tolerance and safety-critical operation
Case studies from real-world robotic deployments
End-to-end autonomous system design and deployment pipeline
Transition from simulation to real-world deployment
Energy harvesting and power-aware robotic systems
Multi-robot coordination and swarm robotics
Domain-specific applications:
Healthcare robotics and biomedical wearables
Defense and surveillance systems
Industrial automation and collaborative robots
Agricultural and space robotics
Indigenous technology development and deployment roadmap
Campus Immersion Module
(Optional things that can be covered)
Day 1: Hardware Integration Workshop - Industry Interaction & Valedictory
Note: The list of modules provided is subject to change and may be updated or revised based on the discretion of the professors or instructors.
