Which projects fit?
For mechanism visualization, offline rehearsal, interface integration and training. Dynamics or contact prediction requires a separately agreed physical model and calibration scope.
Robot Digital Twin
Robot digital twins: perform integration testing in the digital environment first
Reduce integration risks with physical robots and develop reusable motion and scenario assets.
What we provide
Robot twins should include mechanism models, frame and unit conventions, joint-state mappings, task scenarios and integration records. New Horizon starts with single-axis, low-speed and replayable data before multi-axis tasks, separating observation and control permissions.
Last updated: 2026-10-13 · New Horizon Digital Outsourcing Team
View delivery and acceptance detailsCapability Highlights
- Demonstrable Closed-Loop Motion
- Interfaces for Controller Integration
- Integration with Robotic Arm Agents
Typical deliverables
- Robot Digital Twin Scene
- Motion Integration Testing Interface
- Interface specifications
- Acceptance Records
Delivery workflow
- 01 Confirm the Mechanism and Tasks
- 02 Digital Twin Setup
- 03 Integration Testing
- 04 Handover
Other Capabilities in This Domain
Implementation References for This Domain
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Knowledge Guides
- How do you calibrate a robot digital twin, and why does its motion fail to match?
- How much detail does a robot-arm workstation digital twin need?
- How do you synchronize a UAV swarm digital twin and distinguish simulation from physical aircraft?
- How can a lunar exploration digital twin balance visual quality and physical credibility?
Case Studies
Engineering delivery brief
How is virtual-to-physical consistency checked in a robot twin?
What inputs are needed?
Provide topology, joint limits and zero positions, mass and inertia, tool and workpiece frames, control protocols, timestamps and safety constraints.
Applicability and Limits
Following joint angles visually does not validate dynamics. Physical motion requires emergency stops, speed limits, authorization and disconnect policies; simulation results do not constitute site safety acceptance.
What drives time and cost?
Mechanism count, protocol access, calibration conditions, contact complexity and site sessions drive cost. Use replay data to diagnose mapping issues before occupying equipment time.
Deliverables and acceptance
Mechanism and frame configuration
Acceptance Evidence
Check zero positions, signs, scaling, limits and end-effector poses axis by axis.
State and command paths
Acceptance Evidence
Use timestamps to inspect delays and test disconnects, reconnections and authority handover.
Task and acceptance records
Acceptance Evidence
Fix trajectories, speed, load and versions, recording position error and exception recovery separately.
Related case study
Robot Arm State Mapping and Virtual–Physical Synchronization
Organize inspectable robot-arm digital twin integration around joint states, tool coordinates, and operation-step signals.
Read the full case studyFurther Reading and Technical References
Related standards and technical documentation for solution selection and implementation.
Discuss Robot Digital Twin Services
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.