Isaac Sim, Control Algorithms & AI Perception
Import robots into NVIDIA Isaac Sim, connect simulation to real hardware, implement IK-based manipulation, and add camera perception for grasping.
Course overview
Students build a digital twin workflow in NVIDIA Isaac Sim: importing manipulators, creating scenes, connecting host control software, implementing IK-based manipulation, and using cameras for perception-driven grasping and pick-and-place.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
Isaac Sim Setup
Import robot assets into Isaac Sim, configure articulations and scenes, and connect Mac/PC control software to simulated robots.
IK & Motion Control
Implement forward kinematics, inverse kinematics, trajectory generation, and pick-and-place logic for simulation-based manipulation.
Sim-to-Real Linking
Create master-slave links between physical and simulated arms, enabling mirrored control, testing, and auto data collection.
Vision for Grasping
Add RGB or RGB-D perception, pose estimation, and grasp planning pipelines such as pickup and GraspNet-style methods.
What you'll gain
- A digital twin of your robot in Isaac Sim
- Working IK-based manipulation in simulation
- Mirrored sim/real control and data collection
- Vision-based grasping pipelines
Ready to build with AI?
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