Why Simulation Matters in Defense Programs
Modern defense programs for semi- and fully autonomous systems increasingly rely on simulation to make engineering and validation decisions earlier and more repeatably, while reducing cost, risk, and dependency on limited field trials.
MORAI provides a high-fidelity digital twin simulation platform for autonomous ground and air systems and small-unit crewed–uncrewed (MUM-T) operations, supporting virtual development, verification and validation as well as scenario-driven virtual mission rehearsal and evaluation focused on coordination, system behavior, and mission outcomes.
Built for Credible Development, Validation, and Seamless Integration
Defense programs require simulation that is not only realistic, but trustworthy, repeatable, and ready to integrate into existing engineering and operational workflows. MORAI is designed to support credible technical decisions across development, validation, and mission-level evaluation without disrupting established defense toolchains or processes.
Mission-Relevant Digital Twin Environments
MORAI provides high-fidelity digital twin environments that reflect real terrain, vehicle dynamics, sensor behavior, and environmental conditions across multiple operational dimensions. This enables credible development and validation of unmanned and MUM-T systems based on detailed physics- and sensor-driven behavior, rather than abstract or purely kinematic representations common in higher-level simulations.
Seamless Integration into Defense Toolchains
MORAI seamlessly integrates into existing defense R&D, validation, and mission-evaluation environments through standardized interfaces, open data exchange formats, and a modular architecture. Built on an open, partner-ready core, the platform enables structured extension via add-ons and APIs, allowing autonomy stacks, mission logic, and third-party components to be integrated without disrupting established system architectures.
Deterministic and Reproducible Validation
Simulations can be executed deterministically so results are fully reproducible, comparable, and traceable across development cycles and scenario variations. This enables structured regression testing, controlled experimentation, and transparent comparison of system behavior, supporting credible technical validation and decision-making before and alongside field testing.
Vehicle-Level Realism with Battlefield Context
MORAI uniquely combines UGV- and UAS-level simulation fidelity with scenario-driven, unit- and entity-level representations. This allows realistic system behavior to be evaluated within a coherent operational picture, enabling credible assessment of autonomy functions and coordinated mission behavior while bridging the gap between vehicle-level verification and higher-level military scenario evaluation.
Core Application Areas in Defense
Unmanned Ground Vehicles (UGV)
Simulation-based development, validation and verification of autonomous ground vehicles
-
Virtual development of sensors, perception, path planning, and control functions for wheeled and tracked UGVs using open-loop and closed-loop simulation
-
High-fidelity sensor and vehicle dynamics modeling to capture terrain interaction, mobility constraints, and degraded sensing effects
-
Scenario-based testing beyond limited field trials and prototype availability, including rare and mission-critical situations
-
Deterministic evaluation of autonomy behavior under changing terrain, weather, and operational constraints
-
Support for SIL and XIL workflows across R&D, system integration, and V&V phases
-
Integrated sensor simulation (e.g. camera, LiDAR, radar, IMU, GPS) with synchronized ground truth
-
Synthetic data generation for training and validating perception and tracking algorithms
Manned-Unmanned Teaming (MUM-T)
Decision-level evaluation and mission rehearsal for coordinated crewed–uncrewed operations across ground and air domains
-
Time-synchronized multi-agent simulation to evaluate coordination logic, task allocation, timing, and mission outcomes across crewed platforms, UGVs, and UAS
-
Scenario-based mission rehearsal and concept validation at small-unit and command level
-
Evaluation of system behavior and mission effectiveness under varying operational conditions and threat scenarios
-
Integration with emerging command-and-control representations to align system-level simulation with operational context
-
Support for multi-domain concepts spanning land and air operations
Technical Capabilities for Defense Development & Validation
MORAI provides a modular, deterministic digital twin simulation platform designed to integrate seamlessly into existing defense development, validation, and training workflows of ground, air, and multi-domain systems.
Core capabilities include:
-
Mission-relevant simulation environments: High-fidelity digital twins of terrain, infrastructure, vegetation, and environmental conditions such as weather, reflecting real operational contexts.
-
Integrated sensor modeling: Camera, LiDAR, radar, IMU, and GNSS models with synchronized ground truth for perception validation, sensor data injection, and synthetic data generation.
-
Vehicle and dynamics modeling: Highly accurate dynamics models for wheeled and tracked vehicles, including terrain interaction, enabling credible closed-loop simulations.
-
Deterministic simulation and traceable validation: Reproducible execution supporting controlled comparisons, regression testing, and traceable validation across system versions and configurations.
-
Seamless and modular integration of autonomy, mission, and C2 components: Open APIs and standardized interfaces enabling integration with autonomy stacks, mission logic, and external tools and data (e.g. maps) within existing workflows and architectures.
-
Progressive development and testing workflows: •Support for SIL, xIL, and mixed-reality configurations as real components are introduced along system maturation.
-
Scenario variation and edge-case evaluation: Systematic verification and validation of environmental conditions, sensor parameters, and adversarial behaviors, including rare and mission-critical failure modes.
-
Multi-scale simulation from vehicle to operational context: Detailed UGV-level simulation (sensors, dynamics, autonomy behavior) embedded within larger scenario and unit-level representations, enabling system-level validation without abstracting away vehicle realism.
