Side-by-side comparison of Atlas HD (Boston Dynamics, Inc. (Hyundai Motor Group subsidiary)) and Kangaroo Pro (PAL Robotics) — specs, pricing, Robo Index, and verified deployments. Updated daily.
Optimize comparison for buyer
Optimized for Home & Household buyers. Priority specs lifted to the top and marked with a target.
Manufacturer Country


Year First Available


Verified Deployments


Price


Battery / Shift Runtime


Availability Status


Weight


Height


Mobility Type


Humanoid Subtype


Running Capable


Stair Climbing


Terrain


Payload


Payload (Peak)


Total DOF


Arm Reach


Bimanual Coordination


Onboard Compute


VLM Capable


Foundation Models


Imitation Learning


Programming


Runtime


Charging Time


Battery Swap


Fall Recovery


SDK Languages


ROS Support


Open API


Deployment Maturity


IP Rating


Price (USD)


Price Tier


Pricing Model


Production Pilots


Applications


![]() | ![]() | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | United States | Spain |
| Year First Available (values differ) | 2016 | 2025 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Price (values differ) | $150,000 USD | $100,000 USD |
| Battery / Shift Runtime (priority for Home & Household buyers) (values differ) | 4 hrs | 6 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Weight (priority for Home & Household buyers) (values differ) | 90 kg | 40 kg |
| Height (values differ) | 190 mm | 1450 mm |
| Mobility Type | bipedal | bipedal |
| Humanoid Subtype | full bipedal | full bipedal |
| Running Capable (values differ) | run capable | — |
| Stair Climbing (values differ) | production ready | No |
| Terrain (values differ) | flat_indoor, mild_incline, rough_indoor, outdoor_unstructured | flat indoor |
| Payload & Dexterity | ||
| Payload (values differ) | 50 kg | — |
| Payload (Peak) (values differ) | 50 kg | — |
| Total DOF (values differ) | 56 | — |
| Arm Reach (values differ) | 230 cm | — |
| Bimanual Coordination (values differ) | — | No |
| Compute & AI | ||
| Onboard Compute (values differ) | — | NVidia Jetson |
| VLM Capable (values differ) | — | No |
| Foundation Models (values differ) | Google DeepMind | false |
| Imitation Learning (values differ) | — | No |
| Programming (values differ) | AI and machine learning tools | custom control interface |
| Battery & Power | ||
| Runtime (values differ) | 4 hrs | 6 hrs |
| Charging Time (values differ) | 0.1 hrs | — |
| Battery Swap (values differ) | Yes | No |
| Safety | ||
| Fall Recovery (values differ) | Yes | — |
| Software | ||
| SDK Languages (values differ) | AI and machine learning tools | Python |
| ROS Support (values differ) | — | No |
| Open API (values differ) | — | No |
| Reliability | ||
| Deployment Maturity (values differ) | production pilot | commercial |
| IP Rating (values differ) | IP67 | — |
| Commercial | ||
| Price (USD) (values differ) | $150,000 USD | $100,000 USD |
| Price Tier (values differ) | 150K+ | — |
| Pricing Model (values differ) | purchase | — |
| Production Pilots (values differ) | Hyundai RMAC, Google DeepMind | — |
| Applications (values differ) | warehouse_transport, assembly, inspection | research, education |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Walking Speed, Arm DOF, Hand DOF, Grip Strength, Manipulation Repeatability, Tool Use, Compute Platform, Teleoperation, Battery Capacity, Charging Method, Avg Power Consumption, Force-Limited Arms, Fall Detection Response, Emergency Stops, Human Detection Method, Safe Speed Near Humans, Simulation Platforms, Air-Gap Capable, MTBF, Task Success Rate, Noise Level, RaaS / Month, Developer Unit Price, Delivery Lead Time, Warranty
Same operating assumptions across every robot — the only difference is price. Set your numbers once to see which pays back fastest.
Annual labor displaced (per robot): $50,000
| Metric | Atlas HD | Kangaroo Pro |
|---|---|---|
| Investment | $150,000 | $100,000 |
| Payback period | 36.0 mo | 24.0 mo |
| Net savings (5 yr) | $100,000 | $150,000 |
| ROI (5 yr) | +67% | +150% |
Estimates labor-cost displacement only — not a full total cost of ownership. Actual ROI depends on integration, maintenance, training, downtime, and task fit. Converted currencies are indicative; USD is the price of record.
Frequently asked
Atlas HD is made by Boston Dynamics, Inc. (Hyundai Motor Group subsidiary), based in US. Kangaroo Pro is made by PAL Robotics, based in ES.
Atlas HD launched in 2016. Kangaroo Pro launched in 2025.
Atlas HD grades AA on the Robo Index. Kangaroo Pro grades AA. The Robo Index is a credibility grade (AAA … C) that blends commercial maturity, verified deployments, company standing, and independent coverage — see methodology for the full breakdown.
Both robots are classified as Humanoid on Robolist. Filters and ranking treat them as direct alternatives.
Hardware cost is one input. Humanoid TCO also includes integration, training, downtime, and end-of-life. Our breakdown: Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time.
Spec sheets only show part of the story. Useful vendor questions cover support, lifecycle, integration cost, and references. We have a buyer-focused checklist: Vendor Selection for Humanoids: The 10 Questions You Must Ask.
Going deeper — picking the right robot
Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time
8 min readHumanoid Robots
Vendor Selection for Humanoids: The 10 Questions You Must Ask
10 min readHumanoid Robots
Running a Humanoid Pilot: Scope, Success Criteria, and Exit Options
9 min readHumanoid Robots
Build vs buy vs lease: which model fits a first deployment
8 min readChoosing Your First Robot
The hidden specs vendors hope you'll miss
10 min readReading the Spec Sheet
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Atlas HD vs Kangaroo Pro compares two robots in the humanoid category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robo Index is calculated.