Concept scenarios for automotive cockpits and embodied interaction

JDO / EMBODIED INTELLIGENCE

A Complete AI Solution for Intelligent Automotive Cockpits

For automakers, this solution connects cockpit interactions, system runtime, task services, and cloud management, from platform adaptation through continuous iteration.

Explore Solutions

One Solution Connecting the Cockpit and Services

Bring scene understanding, vehicle-platform adaptation, task services, and cloud management together in one cockpit AI solution.

A brain-shaped form made of two hemispheres of silver fibers, with a small vehicle at the lower right; a conceptual representation of cognition and collaboration, not actual hardware or architecture

AI System

Combine multimodal inputs to understand context and coordinate tasks across systems.

JDO Canghai AI Core Provides the model and algorithm foundation.

One system serves vehicles, robots, and other embodied platforms, adapting to their inputs, interfaces, and task boundaries.

AIOS

Integrate Models and Capabilities into the Vehicle Platform

Use the context produced by scene understanding to organize Agents and capabilities on the existing vehicle platform.

Adapt to the Vehicle Platform

Integrate device inputs, platform interfaces, and the runtime environment.

Connect Available Capabilities

Integrate models, context, and services into the runtime framework.

Orchestrate Task Execution

Orchestrate Agents and related capabilities to connect interactions with tasks.

A bright, stationary concept cockpit with a large center display mounted on a short dashboard base and overlaid with switchable concept interfaces

Cockpit Home

MusicHear the Slow MomentsInstrumental / Light Music

Airy interior of a fictional exhibition venue

Place DiscoverySample Exhibition Venue

Sample ParkRoute Saved

“I'd like to take a walk nearby.”Music & Discovery, Front and CenterVoice & Screen Interaction

AI HMI: voice and screen interaction, multi-display coordination, and component and theme adaptation.

AI Agent

From User Needs to Specific Tasks

Task understanding, step planning, and tool and function invocation connect a single need with the required services.

Central Coordination

HMI Agent

Handle Needs & Responses

Master Agent

Coordinate Steps & Capabilities

Use-Case Agents

Experience a Complete Charging Journey

Driving & Charging

CarService Agent

Charging recommendations, navigation, and exit payment

Smart Fueling Agent

Smart Parking Agent

Smart Charging Agent

Premium Car Wash Agent

Travel & Discovery

Trip Agent

Places, Routes & Trips

Navigation Agent

Destinations, Waypoints & Navigation

Exploration Agent

Interest Discovery, Reservations & Review Sharing

Personalized Navigation Agent

Trip Planning Agent

Xiaohongshu / Roadbook Agent

Entertainment & Creation

Entertainment Agent

In-Cockpit Content & Entertainment

Driving Music Agent

Karaoke / Entertainment Agent

AI Podcast Agent

AI Art / Music Composition Agent

Media Center Agent

Lifestyle & Care

Restaurant Agent

Dining Recommendations, Reservations & Navigation

Life Agent

Understanding Needs, Ordering & Payment

Health Agent

Well-being Support

In-Vehicle Office Agent

Schedule Agent

Festive Atmosphere Agent

Understand Needs and Organize Tasks

Understand interactions, steps, and available services within the same task context.

Services must be integrated and confirmed by the user. Ordering and payment require the appropriate identity and payment authorization.

AI Cloud

Connect the ecosystem so cockpit capabilities can continue to improve

Manage Models, Applications & Services

Models: Models & Knowledge Bases, Version Management
Applications: Application Integration & Developer Management
Services: Service Catalog & Interface Management

A fictional waterfront park used as a concept setting for location services — PlaceExplore Along the Way

Concept scenario of a vehicle connected to charging facilities — Charging Service

Media ContentEnrich Every Journey

Bring Content and Services into Cockpit Use Cases

Connect the content and service ecosystem to support service integration in cockpit use cases.

Continuous Iteration

Feedback to inform the next experience

Use operational feedback to adjust models, applications, and services. Updates undergo integration testing and validation before they are included in a later version.

Operational Feedback

Version ManagementModels · Applications · Services

Continuous Adjustment & Validation

See How Services Connect Across a Charging Journey

Take the CarService Agent charging service as an example to see how a user need connects with the required steps and capabilities.

Cockpit ServicesStatus and payment are simulated

Sample Charging Station ASample Charging Station BCurrent Location

Battery level: 18%Charging Service Scenario

The battery is running low. Would you like to find a charging station?

Nearby charging options—confirm to receive a recommendation.

Choose a charging stop for this trip

Sample Charging Station A2.4 kmSample Charging Station B3.8 km

Route Ready

Sample Charging Station A2.4 km

Follow the sample route to the selected station.

Arrived at the selected charging station

Sample Charging Station A

View charging status after the user connects the charging equipment.

Charging is in progress. Relax while you wait.

Currently 62%; target for this session: 80%.

Charging progress remains visible throughout the same experience.

Charging complete; ready to leave

The battery has reached 80%. Exit billing is next.

In this sample, authorization has been granted and the conditions for payment without further confirmation are met.

The system is initiating payment without further confirmation

Process this sample bill under the existing authorization and wait for the result.

Payment result returned

Sample Payment Successful, completing this charging-service flow.

The bill and processing result appear in the same interface.

Okay, don't search for now.

You decide whether to continue.

Exited this sample flow

The sample bill remains pending. Exiting the demo does not mean a real bill has been canceled.

Confirm the trip after the charging reminder

Sample Charging Station A · 2.4 km

The user confirms the recommended station and starts navigation to the selected destination.

Charging concept scene after the user connects the cable

Connect on arrival and complete charging

After the user connects the charging cable, the battery progresses from 18% to 62% and then 80%. Charging is complete and the vehicle is ready to leave.

The system initiates payment and returns the result

Sample Charging Station A, 2.4 km away. The sample bill is ¥56.80. With prior authorization and the conditions for payment without further confirmation met, the system initiates payment automatically and displays a simulated success result.

Concept UI with sample data; not connected to vehicle, charging, or payment services.

A concept experience of CarService Agent providing a charging service. Actual service depends on vehicle signals, service integration, user confirmation, and payment authorization.

From Platform Integration to Ongoing Service

Editorial image of a team discussing tasks and interfaces beside a vehicle

Define the Solution
The vehicle platform, target experience, and the success, exception, and exit conditions for the task.
Integration
Adapt model, device, and service interfaces, and define the runtime environment and permissions.
Integration Testing & Validation
Validate how the system handles coordination, network changes, and unavailable capabilities.
Cockpit test benches are used to validate model and software deployment, user interaction and system integration.
Runtime & Iteration
Manage model and service versions, update them based on feedback, and prepare for validation and rollback.

One technology stack serves vehicles, robots, and other embodied platforms, adapting inputs, interfaces, actions, and task boundaries to each use case.

Define the Next-Generation Cockpit Experience Together

Start with the vehicle platform, target experience, and service needs to define the solution scope together.