New to the lab
Start with orientation, agree on your platform and supervision, then use its setup guide.
Watch · understand · experiment
Technical videos, code, manuals, and guided learning prompts for courses, VIP teams, senior design, and research.
Start with orientation, agree on your platform and supervision, then use its setup guide.
Define a baseline and test plan before connecting algorithms to hardware.
Pair a short video or digital-twin exercise with a focused lab investigation.
These are external vendor resources, not recordings of AVRC experiments. Some videos feature equipment or software beyond the current lab configuration. Confirm availability with the lab team. Videos load only when you choose to play them.
17 of 17 videos · Official Quanser channel
Quanser’s Python Intelligence Toolset and image-based neural-network examples for GPU-enabled autonomous platforms.
Separate training from inference, identify the sensor inputs, and propose a latency and accuracy test.
A September 2026 account of an ongoing QBot navigation study, including an Isaac Lab training workflow and unresolved transfer challenges.
Identify one source of simulation-to-hardware mismatch and design a test that could isolate it.
An August 2026 webinar on model-based formation control with aerial and ground vehicles. This provides a coordination baseline; it is not presented as a machine-learning method.
Which relative measurements are needed? Explain where a learned perception method might assist the controller.
Quanser’s introduction to its compact manipulation platform.
Identify the arm joints, gripper, and camera; explain the role of each in a pick-and-place task.
An official Quanser manipulation demonstration.
Separate perception, coordinate mapping, motion planning, and grasping in the demonstrated task.
A short introduction to Quanser’s mobile robotics platform.
Identify a sensing or navigation question you could investigate with a mobile robot.
An overview of the vendor’s mobile robotics lab ecosystem.
Sketch a path-following investigation and decide what data would demonstrate success.
Quanser’s perspective on connecting robotics instruction and research.
Separate a course-sized learning activity from a longer research question.
An introduction to the vendor’s simulation-to-hardware workflow.
List assumptions in a simulation that you would need to check on physical hardware.
A Quanser webinar introducing mixed-reality research approaches.
Explain which quantities come from the physical experiment and which come from the model.
A vendor introduction to haptic interaction and the HD2 platform.
Propose an experiment relating motion, force feedback, and human interaction.
A vendor demonstration connecting sensing and motion control.
Describe how sensor noise or delay could affect the control loop.
Ideas for using shared lab platforms across engineering disciplines.
Choose one topic in your course and map it to a measurable hands-on activity.
A Quanser and MATLAB discussion for engineering educators.
Identify a transferable skill and the student evidence you would use to assess it.
A walkthrough of Quanser’s research discovery resource.
Find a relevant paper and record its method, baseline, and limitations.
A vendor overview of a self-driving vehicle research environment.
Compare wheeled-robot navigation and road-vehicle autonomy; identify what cannot be transferred directly.
An introduction to the organization behind the platforms and teaching resources.
Identify which support resources your team will need before starting a lab activity.
Match the resource to your platform model, operating system, and installed software. Follow the lab’s approved configuration for physical experiments.
Official setup guides, user manuals, concept reviews, teaching content, and research examples.
Official libraries, documentation, and tutorials for the QLabs environment.
Find the appropriate resources for your platform and software configuration.
Browse the full official collection of demonstrations, webinars, and platform introductions.
Engineering education, control, autonomy, and research talks from Quanser and invited speakers.
Official QBot Platform drivers and localization packages. Check hardware and software requirements before use.
Official robot description files for supported Quanser platforms.
Quanser’s webinar on organizing efficient, multidisciplinary engineering labs.
An external research talk on decentralized control of heterogeneous vehicles.
Quanser’s discussion of an in-progress QBot reinforcement-learning workflow.
The 2026 educator guide, blank T1–T6 forms, and cohort experience remain in the RAOP program section.