
Aerospace
Planetary Explore Mission
Promoting basic research and application breakthroughs in simulation and testing systems in the aerospace field is important and meaningful for all mankind and Starclone.
The background image is generated in real time by the simulator and is copyrighted by Starclone.
About Explore Mission
Key objectives include:
Terrain traversal and obstacle avoidanceIn-situ analysis of soil and rock samples
Data relay and mission health reporting
Autonomous navigation across uncertain terrains
Ground exploration missions rely on robotic systems to navigate, analyze, and operate autonomously in extreme planetary environments. ​

NASA Mars 2020 Perseverance Rover​
Why Simulation Matters
Real-world testing is impossible before deployment. Simulators are essential to test control logic, perception algorithms, and fault recovery—under varying terrain, light, and communication conditions—before launch.
Challenges
Realistic Land Scene Generation
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Pushing the limits of sensors, generating data at a level far beyond the level of observational detail.
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Terrain classification and change detection, providing reliable path planning data and strategies.
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Convert orbital observation data (e.g., HiRISE, LROC) into simulated local terrain.​

Physics Simulation
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Simulate sensor distortions under dust storms, low light, or temperature fluctuations.
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Accurately model robot-environment interactions: wheel slip, actuator failure, stuck-in-sand scenarios.
AI Model & System Verification
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Generate diverse datasets for vision and planning models
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Stress-test autonomous pipelines in corner-case conditions
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Run safety validation frameworks to detect failure points before real mission execution
Service
Sensor
Simulation for Data
Dynamics
Simulation feasibility and safety
Algorithm
Perception Planning and Decision
How
Scenario
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AI Model & System Verification
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Integrate Into Your Project
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