You can access the recording here
Autonomous systems are prevalent in a variety of applications across industries, from Unmanned Aerial Vehicles (UAV) for inspection and surveying to Unmanned Ground Vehicles (UGV) for transporting material.
These autonomous systems require the capabilities of self-awareness and situational-awareness while understanding how to operate within a given environment. Developing autonomous systems requires multi-disciplinary skillsets covering various technology domains (controls, perception, motion planning) and simulation to reduce risk/cost/rework before hardware test.
In this video
In this video, Anila Benny walks us through the following:
- The mega trend of “Add Autonomy”
- Model Based System Engineering
- MATLAB and Simulink for Autonomous Systems
- Systems Engineering
- Platform Design
- Autonomy Algorithms
- Sense and Perceive
- Plan and Decide
- Control
- Verification and Validation
- Connect and Deploy
- MathWorks Products for Autonomous Systems
