Robotics Explained: Perception, Planning and Control
Robotics & Cyber-Physical Systems: leave with a simulated robot with sensor fusion, path planning, a PID controller and safety limits.
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Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why robotics & cyber-physical systems matters — the common problem: Robotics seems inaccessible without expensive hardware to practise on.
- 2Core concepts in plain language: Robot perception, localization, mapping, sensor fusion, motion planning, control systems
- 3Going further: robot middleware, simulation, hardware-in-the-loop testing, human–robot interaction, operational safety
- 4Framework walkthrough: Platform Lifecycle Models, Hardware-in-the-Loop Testing, Frame-Budget Profiling
- 5Practical workflow, built live: A simulated robot with sensor fusion, path planning, a PID controller and safety limits.
- 6How to measure it: Crash-free sessions, Battery / resource usage, Frame time, Field failure rate
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- A simulated robot with sensor fusion, path planning, a PID controller and safety limits.
- A working understanding of Platform Lifecycle Models and Hardware-in-the-Loop Testing
- A short list of measures to track: Crash-free sessions, Battery / resource usage, Frame time
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