Here's the side-by-side comparison of the two Quanser platforms:
| QBot Platform | QCar 2 | |
|---|---|---|
| Jetson module | NVIDIA Jetson Orin Nano | NVIDIA Jetson Orin AGX |
| Memory | 8 GB | 32 GB LPDDR5 |
| Weight | 17,000 g (17 kg) | 2,700 g (2.7 kg) |
The QCar 2 is the more compute-heavy of the two: it's a 1/10th-scale autonomous research vehicle built around the Jetson Orin AGX with 32 GB of LPDDR5 memory, delivering up to 200 TOPS of AI performance. quanser.com +1quanser.com ↗“onboard computer is an NVIDIA Jetson Orin AGX with 32GB LPDDR5 memory”quanser.com ↗“performance.max_ai_tops=200 TOPS”
The QBot Platform, by contrast, is a larger differential-drive ground robot for teaching and research, powered by the smaller Jetson Orin Nano with 8 GB of memory — but it weighs substantially more at 17 kg, and lists a 20 kg payload capacity. quanser.com +3quanser.com ↗“powered by an onboard NVIDIA Jetson Orin Nano”quanser.com ↗“memory.memory_gb=8 GB”quanser.com ↗“mechanical.weight_g=17000 g”quanser.com ↗“robot.payload_kg=20 kg”
In short: if you need onboard compute muscle (AGX-class, 32 GB), the QCar 2 carries it in a much smaller, lighter 1/10th-scale chassis; the QBot Platform trades compute down to an Orin Nano / 8 GB in exchange for a full-size platform with much higher payload.