NVIDIA Jetson Orin NX (157 TOPS)

NVIDIA Jetson Orin NX (157 TOPS) appears across 1 tracked robots, concentrated in Humanoid. Start here when the job is understanding why this ai matters, then sweep the live roster without scrolling through 1 oversized cards.

AI labels are noisy. Use them to frame behavior and operating model, not as if every named stack were directly comparable on one popularity scale.

1 robots 1 ready now 1 manufacturers 1 public prices
Market snapshot Robot directory FAQ Reference library

Where it shows up

1 category

The heaviest concentration is in Humanoid (1). On this route, category distribution is the fastest clue for whether NVIDIA Jetson Orin NX (157 TOPS) is a baseline utility or a more selective differentiator.

What it tends to unlock

Shortlist impact

Higher-level planning, adaptation, and interaction quality, richer autonomy claims that can change the shortlist materially, and more flexible task handling when the vendor stack is mature enough.

What to verify

Do not stop at the label

What runs on-device versus in the cloud, how branded AI labels map to real user-facing behavior, and whether updates and latency tradeoffs fit the intended job. Top manufacturers here include Faraday Future (1).

Evidence sources

  • Aggregated from each robot's `specs.ai` field in ui44 data.

Official references

FF MasterFaraday Future · Humanoid

Market snapshot

Use the structure first: which categories lean on NVIDIA Jetson Orin NX (157 TOPS), which manufacturers repeat it, and what usually ships beside it.

Top categories

# Name Usage
1 Humanoid 1 robot

Top manufacturers

# Name Usage
1 Faraday Future 1 robot

Commonly paired with NVIDIA Jetson Orin NX (157 TOPS)

# Name Shared robots
1 3D LiDAR 1 robot
2 4G 1 robot
3 5G 1 robot
4 Interactive RGB Camera 1 robot
5 Rear RGB Camera 1 robot
6 Rgb-d Camera 1 robot

At a glance

Kind AI
Tracked robots 1
Ready now 1
Public prices 1
Official sources 1
Variants normalized 1

Reading note

This page is strongest when you use the rankings to orient the market and the directory below to verify individual profiles. The goal is faster comparison, not another endless essay stack.

Robot directory · NVIDIA Jetson Orin NX (157 TOPS)

The old card wall is replaced with a featured first-click strip and a dense inventory table so the route behaves like a serious directory.

This route now uses a shortlist-first browse model: open the clearest live profiles first, then sweep the full inventory in a dense table instead of burning through one oversized card after another.

Ready now

1

Public price

1

Official links

1

Featured now

1

How to scan this directory

Featured first, dense sweep second.

  • Featured cards: the cleanest first clicks when you need a fast sense of real-world implementation quality.
  • Inventory table: every tracked robot in a calmer scan path, sorted by readiness before price clarity.
  • Compare intent: use status, official links, and standout spec signals before trusting the label alone.

Best first clicks

Open these before sweeping the full inventory

These robots score highest on readiness, public detail quality, and image clarity, making them the fastest way to understand how NVIDIA Jetson Orin NX (157 TOPS) shows up in practice.

Available Humanoid
Faraday Future Since 2026

FF Master

Compact athletic humanoid robot from Faraday Future's EAI Robotics division, launched alongside the FF Futurist at the NADA Show in Las Vegas on February 5, 2026. Standing 131 cm tall and weighing 39 kg, the FF Master is designed for home companion, educational, and interactive roles rather than heavy professional tasks. It is powered by an NVIDIA Jetson Orin NX processor delivering 157 TOPS of AI compute and features 30 degrees of freedom in its body with five-fingered dexterous hands (7 DOF per arm). The robot's 30 high-efficiency drive motors produce up to 120 Nm of peak torque, enabling agile motion at speeds up to 7.2 km/h. Its perception suite includes 3D LiDAR, stereo RGB cameras, an interactive RGB camera, an RGB-D camera, and a rear RGB camera, with connectivity via Wi-Fi, 4G, 5G, and VR teleoperation. FF positions the Master as a home and family companion — it can help children with homework, converse with elderly family members, assist in remote home monitoring through onboard cameras and sensors, and serve as an interactive presence at events and in classrooms. The robot supports natural language interaction in up to 50 languages and is designed to adapt and learn new skills over time through OTA software updates. First deliveries began in late February 2026, with over 20 units shipped by March 2026.

Public price

$19,990

Starting at $19,990; optional Ecosystem…

Battery

Up to 2 hours

Charge Not disclosed

Shortlist read

Shipping now with public pricing visible.

Profile

Full inventory · 1 robots

Compact mobile scan: status, price, standout context, and links stay visible without sideways scrolling.

Quick answers

FAQ

The short version of what this label means in the ui44 catalog, where it matters, and how to compare it without over-reading the marketing copy.

Frequently Asked Questions

How common is NVIDIA Jetson Orin NX (157 TOPS) in the database?

NVIDIA Jetson Orin NX (157 TOPS) currently appears on 1 tracked robots across 1 manufacturers. That makes this route useful for both deep research and fast shortlist scanning, not just one-off editorial reading.

Which robot categories lean on NVIDIA Jetson Orin NX (157 TOPS) the most?

The strongest concentration is in Humanoid (1). Category mix is the fastest clue for whether this component behaves like baseline plumbing or a more selective differentiator.

Does NVIDIA Jetson Orin NX (157 TOPS) usually show up on ready-to-buy robots?

1 of the 1 tracked profiles are currently marked Available or Active. That means the label has live market relevance here, but you should still open the profiles with public pricing or official links first before treating it as a clean buyer signal.

What should I compare first on this page?

Start with readiness, official source quality, and the standout spec column in the inventory table. On component routes, those three signals usually remove weak profiles faster than reading every descriptive paragraph.

What usually ships alongside NVIDIA Jetson Orin NX (157 TOPS)?

The strongest shared-stack signals here are 3D LiDAR (1), 4G (1), and 5G (1). Use those pairings to branch into adjacent component pages when one label is too narrow for the decision.

Are there enough public price points to benchmark this component?

1 matching robots currently expose public pricing. That is enough to create directional context, but not enough to treat one price bracket as the whole market. Use the directory to find the transparent profiles first, then widen the sweep.

Which manufacturers are worth opening first?

Start with Faraday Future (1). Repetition across manufacturers is often the clearest signal that the component is part of a stable market pattern rather than a one-off marketing callout.

Reference library

The original long-form component research is still here, but collapsed so the main route can prioritize hierarchy and scan speed.

Fundamentals

The baseline explanation of what NVIDIA Jetson Orin NX (157 TOPS) is, why it matters, and how to think about it before comparing implementations.

What Is NVIDIA Jetson Orin NX (157 TOPS)?

NVIDIA Jetson Orin NX (157 TOPS) is a ai component found in 1 robot tracked in the ui44 Home Robot Database. As a ai technology, NVIDIA Jetson Orin NX (157 TOPS) plays a specific role in enabling robot perception, interaction, or operation depending on its implementation in each platform.

At a Glance

Component Type

AI

Used By

1 robot

Manufacturer

Faraday Future

Category

Humanoid

Price Range

$20.0k

Available Now

1 robot

The AI platform is the cognitive engine of a robot. It encompasses the machine learning models, decision-making algorithms, and processing infrastructure that enable a robot to interpret sensor data, plan actions, and interact naturally with humans.

Key Points

  • Ranges from simple rule-based systems to sophisticated deep learning
  • Enables learning from experience and adapting to environments
  • Increasingly integrates large language models for natural interaction

In the ui44 database, NVIDIA Jetson Orin NX (157 TOPS) is categorized under AI components. For a comprehensive explanation of all component types, consult the components glossary.

Why NVIDIA Jetson Orin NX (157 TOPS) Matters in Robotics

The AI platform fundamentally determines a robot's intelligence, adaptability, and user experience. The AI stack also affects responsiveness, privacy, and the robot's ability to receive meaningful software updates.

Advanced AI handles unexpected situations and improves over time

Enables natural language understanding for voice commands

On-device vs. cloud processing affects both privacy and capability

NVIDIA Jetson Orin NX (157 TOPS) Adoption

Used in 1 robot across 1 category — Humanoid, indicating specialized use across the robotics industry.

How NVIDIA Jetson Orin NX (157 TOPS) Works

Robot AI systems typically combine several layers that work together to transform raw data into intelligent behavior. Modern robots increasingly use neural networks with some processing on-device and some in the cloud.

1

Perception AI

Converts raw sensor data into understanding — recognizing objects, faces, and spaces

2

Planning AI

Decides what actions to take based on current understanding and goals

3

Control AI

Executes planned movements with precision, managing motors and actuators

4

Interaction AI

Understands and generates human communication — voice, gestures, text

NVIDIA Jetson Orin NX (157 TOPS) Integration

Implementation varies by robot platform and manufacturer. Each robot integrates NVIDIA Jetson Orin NX (157 TOPS) differently depending on system architecture, use case, and target tasks. Integration with other onboard AI subsystems and the main processing unit determines real-world performance.

Technical notes and use cases

Deeper technical framing, matched technology profiles, and the longer use-case treatment for NVIDIA Jetson Orin NX (157 TOPS).

NVIDIA Jetson Orin NX (157 TOPS): Technical Deep Dive

Beyond the high-level overview, understanding the technical foundations of ai technologies like NVIDIA Jetson Orin NX (157 TOPS) helps buyers and researchers evaluate implementations more critically.

Engineering Principles

Robot AI systems are built on layers of computational models, each handling different aspects of intelligence.

  • Signal processing algorithms clean and normalize raw sensor data
  • Feature extraction identifies patterns — edges in images, phonemes in speech, spatial structures
  • ML models (CNNs for vision, transformers for language, RL for decisions) produce understanding
  • Architecture: perception pipeline → world model → planning system → execution controller

Performance Characteristics

AI performance trade-offs — the accuracy-latency-energy triangle — fundamentally shape design decisions.

Inference speed Processing time — critical for real-time navigation
Accuracy How often the AI makes correct decisions
Generalization Performance in new, unseen environments beyond training data
Robustness Resilience to noisy inputs and edge cases
Energy efficiency Large neural networks consume significant compute power

Technological Evolution

The AI landscape in robotics has undergone several paradigm shifts.

Classical robotics: hand-crafted rules and explicit programming

Machine learning era: data-driven approaches — learning from examples

Deep learning: end-to-end systems learning directly from raw sensor data

Foundation models & LLMs: broad world knowledge and natural language understanding

Current frontier: embodied AI — models that understand physics and spatial reasoning

Known Limitations

Current robot AI has significant limitations that buyers should understand.

  • Most AI is narrow — excels at specific tasks but cannot transfer skills broadly
  • Distribution shift: models fail unpredictably on inputs different from training data
  • Cloud processing introduces latency and privacy concerns
  • On-device AI lags state-of-the-art by years due to power and cost constraints
  • Ethical concerns around data collection, bias, and autonomous decision-making persist

Use Cases & Applications for NVIDIA Jetson Orin NX (157 TOPS)

Key application domains for ai technologies like NVIDIA Jetson Orin NX (157 TOPS).

Autonomous Decision-Making

AI enables robots to make decisions in real time without human input. Whether it's choosing the optimal cleaning path, deciding when to return to the charging dock, or determining how to respond to an unexpected obstacle, the AI platform processes sensor data and selects the best course of action from its learned repertoire.

Natural Language Understanding

Modern AI platforms, especially those leveraging large language models, allow robots to understand and respond to conversational commands. This goes beyond simple keyword recognition — advanced AI can handle ambiguous requests, follow multi-step instructions, and maintain context across a conversation.

Adaptive Learning

Some AI platforms allow robots to improve their performance over time by learning from experience. A robot might learn the most efficient cleaning route for your specific home, adapt to your daily routines, or improve its object recognition based on items it encounters repeatedly.

Predictive Maintenance

AI can monitor the robot's own systems, predicting when components might fail or need maintenance. By analyzing patterns in motor performance, battery degradation, and sensor accuracy, AI-equipped robots can alert users to potential issues before they cause problems.

Task Planning & Scheduling

AI platforms enable sophisticated task planning — breaking complex goals into executable steps, scheduling activities around user preferences, and re-planning when circumstances change. This capability is essential for robots that handle multiple responsibilities or operate on complex schedules.

10 Capabilities Across 1 robot

Bipedal Walking Autonomous Navigation Obstacle Avoidance Dexterous Manipulation (7-DOF arms, 5-finger hands) Natural Language Interaction (up to 50 languages) Adaptive Learning Remote Home Monitoring VR Teleoperation Companion Interaction (children, elderly, families) OTA Software Updates

Visit each robot's detail page to see which capabilities are available on specific models.

Market breakdown and adjacent routes

Manufacturer mix, specs context, price context, category overlap, and adjacent components worth branching into next.

NVIDIA Jetson Orin NX (157 TOPS) Across Robot Categories

NVIDIA Jetson Orin NX (157 TOPS) spans 1 robot category — from consumer to research platforms.

Humanoid

1

robot using NVIDIA Jetson Orin NX (157 TOPS)

Avg. price: $20.0k

FF Master

Technologies most often paired with NVIDIA Jetson Orin NX (157 TOPS) across 1 robot.

3D LiDAR
100%
Stereo RGB Cameras
100%
Interactive RGB Camera
100%
RGB-D Camera
100%
Rear RGB Camera
100%
Wi-Fi
100%
4G
100%
5G
100%
VR Teleoperation
100%

Browse the full components directory or see the components glossary for detailed explanations of each technology.

Price Context for Robots With NVIDIA Jetson Orin NX (157 TOPS)

1 of 1 robots with NVIDIA Jetson Orin NX (157 TOPS) have public pricing, ranging $20.0k – $20.0k.

Lowest

$20.0k

FF Master

Average

$20.0k

1 robot with pricing

Highest

$20.0k

FF Master

Alternatives to NVIDIA Jetson Orin NX (157 TOPS)

149 other ai technologies tracked in ui44, ranked by adoption.

1x Embodied Intelligence

1 robot

2× Intel i7 (8th gen, 6-core) edge computing

1 robot

200 TOPS AI compute, WorkGPT multimodal LLM, AimRT framework

1 robot

3d Matrixeye Perception And Real-time Obstacle Avoidance With Camera-based Mapping

1 robot

8-core CPU + GPU; optional NVIDIA Jetson Orin (40–100 TOPS, EDU only); UnifoLM multimodal LLM

1 robot

8-core CPU, AI simulation-trained gaits, optional NVIDIA Jetson Orin (40–100 TOPS)

1 robot

8-core high-performance CPU (optional NVIDIA Jetson Orin for EDU)

1 robot

8-core high-performance CPU (Pro); supports modular LiDAR, RTK, 4G/5G add-ons

1 robot

Browse all AI components or use the robot comparison tool to evaluate how different ai configurations perform across specific robot models.

NVIDIA Jetson Orin NX (157 TOPS) in the Broader Robotics Industry

The AI landscape in robotics is undergoing a transformation driven by advances in large language models, multimodal AI, and embodied intelligence research.

Key Industry Trends

Foundation models for robotics

Purpose-built models that understand physics, spatial reasoning, and manipulation — enabling generalization to new tasks

On-device vs. cloud debate

Privacy-conscious buyers prefer local processing; cloud-connected robots benefit from more powerful, frequently updated models

Open-source frameworks

ROS 2 and PyTorch for robotics are lowering barriers, enabling more manufacturers to develop capable AI platforms

Industry Adoption Snapshot

NVIDIA Jetson Orin NX (157 TOPS) is adopted by 1 robot from 1 manufacturer in the ui44 database, providing a data-driven view of real-world deployment patterns.

Integration & Ecosystem Compatibility

Platform compatibility, voice integration, and AI capabilities across robots with NVIDIA Jetson Orin NX (157 TOPS).

Platform Compatibility

FF EAI Robotics PlatformOTA Updates

AI Platforms

NVIDIA Jetson Orin NX (157 TOPS)

Buyer and operations guidance

The long-form buyer, maintenance, and troubleshooting material kept available without forcing it into the main scan path.

Buyer Considerations for NVIDIA Jetson Orin NX (157 TOPS)

If NVIDIA Jetson Orin NX (157 TOPS) is an important factor in your robot selection, here are key considerations to guide your decision.

What to Look For in AI Components

On-device vs. cloud

On-device AI works without internet but may be less powerful

Learning capability

Can the robot improve and adapt to your specific home over time?

Natural language

How well does it understand conversational voice commands?

Update frequency

Does the manufacturer regularly ship AI improvements?

Privacy

What data is sent to the cloud, and how is it protected?

Available Now: 1 of 1 Robots

FF Master

How to Evaluate NVIDIA Jetson Orin NX (157 TOPS)

Integration Quality

A component is only as good as its integration. Check how the manufacturer has incorporated NVIDIA Jetson Orin NX (157 TOPS) into the overall robot design and software stack.

Complementary Components

Review what other ai technologies are paired with NVIDIA Jetson Orin NX (157 TOPS) in each robot — see the related components section.

Category Fit

Make sure the robot's category matches your use case. NVIDIA Jetson Orin NX (157 TOPS) serves different roles in different robot types.

Manufacturer Track Record

Consider the manufacturer's reputation for software updates, support, and component reliability.

Compare Before You Buy

Use the ui44 comparison tool to evaluate robots with NVIDIA Jetson Orin NX (157 TOPS) side by side.

Maintenance & Longevity: NVIDIA Jetson Orin NX (157 TOPS)

Overview

AI components present a unique maintenance profile because much of their capability is defined by software rather than hardware. This means AI performance can improve through updates but is also vulnerable to degradation if cloud services are discontinued or software support ends. Understanding the AI maintenance model is critical for assessing a robot's long-term value proposition.

Durability & Reliability

The hardware that runs AI workloads — processors, memory, and neural network accelerators — is highly durable solid-state electronics. Physical failure of AI processing hardware is rare under normal operating conditions.

  • •However, computational hardware has a de facto obsolescence curve: as AI models grow larger and more capable, the processing power needed to run state-of-the-art models increases.
  • •A robot's AI hardware may not be able to run future advanced models, effectively creating a capability ceiling even though the hardware still functions.
  • •This is particularly relevant for robots that rely on on-device AI processing.
Ongoing Maintenance

AI maintenance primarily involves keeping the robot's software stack updated. Firmware updates often include improved AI models, bug fixes for edge cases in perception or navigation, and new capabilities unlocked by algorithmic improvements.

  • •For cloud-connected AI systems, maintenance happens transparently on the server side.
  • •On-device AI systems require explicit firmware updates that should be applied promptly.
  • •Users should also periodically verify that the robot's AI is performing as expected — if navigation accuracy degrades or voice recognition becomes less reliable over time, a firmware update or factory recalibration may be needed.
Future-Proofing Considerations

AI future-proofing depends heavily on the manufacturer's ongoing investment in software development and the robot's computational headroom. Robots designed with more processing power than initially needed have room to run improved AI models in future updates.

  • •Manufacturers that actively develop their AI platform — shipping regular updates with measurable improvements — provide much better long-term value than those that ship a final product with no further development.
  • •Open-source AI frameworks (like those built on ROS 2) can also extend a robot's useful life by enabling community-developed improvements beyond the manufacturer's official support period.

For the 1 robot in the ui44 database using NVIDIA Jetson Orin NX (157 TOPS), we recommend checking the individual robot pages for manufacturer-specific maintenance guidance and support documentation. Each manufacturer has different support policies, update frequencies, and warranty terms that affect the long-term ownership experience of their ai technologies.

Troubleshooting & Common Issues: NVIDIA Jetson Orin NX (157 TOPS)

AI-related issues in robots often manifest as degraded performance rather than complete failures. The robot may navigate less efficiently, misrecognize objects, respond slowly to commands, or make decisions that seem illogical. Diagnosing AI issues requires understanding whether the problem is in the AI software, the input data feeding the AI, or the processing hardware running the AI models.

Robot navigation becomes less efficient over time

Likely Causes

  • Accumulated mapping errors, outdated models that have not adapted to furniture changes, or degraded sensor data feeding the navigation AI can all reduce path planning quality.
  • Memory limitations on the robot's processor may cause older map data to be pruned, losing previously learned optimizations.

Resolution

  • Rebuild the robot's map to give the navigation AI fresh, accurate data.
  • Check for firmware updates that include navigation model improvements.
  • Ensure all sensors feeding the navigation system are clean and functioning correctly, as AI performance is only as good as its input data.
  • Some robots have a 'learning mode' that can be triggered to reoptimize routes.

Voice commands are misunderstood more often than before

Likely Causes

  • Changes in the cloud-based AI model (updated by the platform provider) can sometimes alter recognition patterns.
  • Microphone degradation due to dust accumulation reduces audio quality.
  • Environmental changes like new background noise sources or acoustic modifications to the room can affect speech recognition accuracy.

Resolution

  • Clean the robot's microphone ports gently with compressed air.
  • Retrain voice profiles if the manufacturer supports speaker adaptation.
  • Check whether the voice AI provider has reported known issues or changes.
  • If using a cloud-based voice assistant, verify that the robot's internet connection is stable and low-latency.

Object recognition fails for previously identified items

Likely Causes

  • Camera sensor degradation, changed lighting conditions, or AI model updates that inadvertently alter recognition behavior can cause regression.
  • Objects may also be presented in orientations or contexts that differ from the training data.

Resolution

  • Clean camera lenses and ensure adequate lighting in problem areas.
  • Check for firmware updates that address recognition accuracy.
  • If the robot supports custom object training, retrain problem objects.
  • Report persistent recognition failures to the manufacturer as they may indicate a model regression worth investigating.

When to Contact the Manufacturer

  • Contact the manufacturer if the robot shows sudden, significant performance drops after a firmware update, if AI processing appears to freeze or crash during operation, or if the robot makes safety-relevant errors like failing to detect obstacles or cliff edges.
  • AI issues that affect safety should be reported immediately and the robot should be taken out of service until resolved.

For model-specific troubleshooting, visit the individual robot pages for the 1 robot using NVIDIA Jetson Orin NX (157 TOPS). Each manufacturer provides model-specific support resources and diagnostic tools for their ai implementations.

What to do next

Stay in the catalog flow

This page should hand you off to the next useful comparison step, not strand you at the bottom of a long detail route.

1

Widen the layer

Browse all AI

Open the full ai workbench when NVIDIA Jetson Orin NX (157 TOPS) is only one part of the decision and you need the broader market map.
2

Side-by-side check

Compare the strongest live profiles

Move from label-level research into direct robot comparison once you know which profiles are documented well enough to trust.
3

Adjacent signal

Open 3D LiDAR

This is the most common neighboring component on robots that already use NVIDIA Jetson Orin NX (157 TOPS), so it is the fastest next branch if you need stack context.