Mobile Chassis Comparison Center

The standard move when buying a chassis is side-by-side comparison. Each page gives the conclusion first, then proves it with specs and cost data.

3D multi-line vs single-line LiDAR point cloud comparison — Multi-line LiDAR 3D perception vs single-line planar scanning

Chassis Selection: Payload / Runtime / Accuracy / Avoidance in One Table Takeaway: fix the payload class first, then the structure type; accuracy and avoidance are the last filters. 7 chassis structures, 17 models compared on key specs, plus three common selection mistakes. Differential vs Omni-wheel vs Mecanum: Which to Choose Takeaway: differential covers 95% of cases; omni-wheel for narrow-space frequent strafing; Mecanum for heavy omnidirectional load. Motion capability, cost, maintenance and best-fit scenarios of the three drive structures. Single LiDAR vs Multi-sensor Fusion Takeaway: a single 3D multi-line LiDAR reaches equal or better indoor results at a lower BOM. Two perception architectures compared on BOM, calibration effort, failure points and avoidance. Humanoid Robot Chassis: Why Omni Wheels Takeaway: humanoid postures vary; omni-wheel + single 3D LiDAR is one of the best indoor precision-mobility choices. Humanoid constraints: ±10mm docking, narrow spaces, sensor count and cost. Full Specs Table (17 Models) Payload / drive / localization accuracy / slope / obstacle / IP, all in one table. Every conclusion on these pages can be verified against this table.

Comparisons are based on Tbot public specs (see full specs table. If unsure, use the selector guide or request a quote; our pre-sales engineers recommend by site and payload.