Comparison controls
Swap robots without losing the table. Green cells mark numeric leaders; text rows show the tradeoffs that need judgment.
Green cells flag numeric leaders, while AI, sensors, and capability rows keep the real buying tradeoffs visible.
Price
Weight
Battery Life
Max Speed
AI
Sensors
Connectivity
Status
Category
Capabilities
| Spec | ||
|---|---|---|
| Price | $265 USD | N/A |
| Height | 122 mm without pan-tilt; 252 mm with PT camera | Not officially disclosed; includes a 35cm lifting torso |
| Weight | 2.034 kg without pan-tilt; 2.35 kg with PT camera | Not officially disclosed |
| Battery Life | Not officially disclosed; uses 3x 18650 lithium cells with a 3S UPS module, batteries not includedNot safely comparable as a typed unit | Not officially disclosed |
| Charging Time | Not officially disclosed; UPS module supports charging and discharging at the same timeNot safely comparable as a typed unit | Not officially disclosed |
| Max Speed | 0.35 m/s default max speed | Not officially disclosed |
| Degrees of Freedom | N/A | N/A |
| AI | Raspberry Pi 4B/5 host running Debian Bookworm with open-source Flask/WebRTC and JupyterLab tutorials; OpenCV and MediaPipe demos cover color recognition, automatic targeting, face detection, object recognition, gesture control, and vision line tracking, while the ESP32 sub-controller handles real-time motion/sensor loops. | ROS 2 development stack with MoveIt 2, Nav2, ros2_control, PAL Web GUI, Docker PAL SDK image, RViz plugins, MuJoCo and Gazebo simulation support, and platform hooks for perception, teleoperation, embodied AI, and data collection workflows |
| Sensors | Optional 5MP 160-degree camera on 2-DOF pan-tilt, ICM20948 9-axis IMU, Motor encoders for closed-loop speed control, INA219 battery-voltage monitoring, Dual-track microphone and speaker audio board, Expansion space/interfaces for D500 or STL-27L LiDAR | RGB-D Head Camera, 4-Microphone Array, 2x 10m Laser Range Finder with 360° FoV, Torque Sensing on Each Arm Actuator, Optional 6-Axis Wrist Force/Torque Sensors, Optional Arm Camera Mount |
| Connectivity | Wi-Fi and Ethernet via Raspberry Pi host, Bluetooth via Raspberry Pi host, ESP32 Wi-Fi / Bluetooth / ESP-NOW, Browser Web App with WebRTC video, USB gamepad receiver support, Optional 4G/5G module expansion | Wi-Fi 6, Bluetooth 5.2, WireGuard VPN, EtherCAT 1kHz Arm/Torso Bus, Ethernet Expansion Ports |
| Voice Assistants | None | None |
| Status | Available | Active |
| Category | Research | Research |
| Manufacturer | Waveshare | PAL Robotics |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | UGV Beast | TIAGo Pro |
|---|---|---|
| 2-DOF camera pan-tilt control and vertical stabilization | ✓ | — |
| 23 Degrees of Freedom | — | ✓ |
| Autonomous Navigation | — | ✓ |
| Browser-based WebRTC remote control and video streaming | ✓ | — |
| Data Collection for AI Training | — | ✓ |
| Dual-Arm Manipulation | — | ✓ |
| Dual-controller Raspberry Pi + ESP32 architecture | ✓ | — |
| ESP-NOW multi-robot communication | ✓ | — |
| Embodied AI Research | — | ✓ |
| Face detection and media capture | ✓ | — |
| Gesture recognition with MediaPipe | ✓ | — |
| JupyterLab and Python development workflow | ✓ | — |
| LiDAR, GPIO, audio, and cellular expansion | ✓ | — |
| Mobile Manipulation | — | ✓ |
| Motion Planning | — | ✓ |
| Object recognition demos | ✓ | — |
| Off-road tracked chassis with independent suspension | ✓ | — |
| Open-source mobile robotics platform | ✓ | — |
| OpenCV color recognition and automatic targeting | ✓ | — |
| Perception Research | — | ✓ |
| Pick and Place | — | ✓ |
| ROS 2 Development | — | ✓ |
| ROS2 Humble tutorial support | ✓ | — |
| Simulation in MuJoCo and Gazebo | — | ✓ |
| Teleoperation | — | ✓ |
| Vision line tracking for autonomous-driving tutorials | ✓ | — |
Use this flow to get to a clean shortlist fast. The route works best as a dense research workbench, not a marketing page.
Start with robots that solve the same job. Use category anchors like Humanoid, Cleaning, Companions, Research before you worry about micro-spec wins.
Check price, status, battery, sensors, and capabilities before getting lost in minor spec rows.
Once you have a shortlist, hide shared rows. That turns the table from a spec dump into a real decision tool.
A dedicated cleaner versus a home assistant with cleaning features can reveal whether you really need a specialist or just broader household coverage. Compare around the same outcome, not the same marketing language. And when blank-page friction is the problem, use one of the prebuilt quick-start pairings in the workbench above — open one, swap robots, and keep moving.
Turn comparison rows into an actual recommendation — not just more reading.
Not all spec deltas matter equally. Rank your buying criteria before crowning a winner.
The sticker price is only one row. Subscriptions, consumables, and service access often decide the real winner.
Subscriptions
Cloud AI and premium app tiers can make a cheaper robot more expensive over three years.
Consumables
Brushes, pads, filters, and bags flip the value story on high-frequency robots.
Energy & battery
Large batteries and frequent charging reveal everyday operating demands.
Repair & warranty
Local servicing and spare-parts access are the quietest but most important long-term costs.
Specs describe ideal conditions. Your rooms, pets, and Wi-Fi determine what actually performs.
Of 403 robots tracked, 248 are available now. For household tasks, getting a capable robot into daily use today usually beats waiting for incremental improvements. For research or early-adopter use, waiting can make sense if the next model changes the platform story.
If two robots are still neck-and-neck, use softer signals that affect ownership quality more than spec sheets admit.
Comparison FAQ
Short answers to the questions that usually show up once the shortlist is live and the tradeoffs feel real.
