Design, Test, Repeat
Simulation is baked into the Cyberwave lifecycle. Every workflow, autonomy policy, and robot behavior is orchestrated first in physics-accurate virtual environments—dramatically reducing risk, downtime, and cost while accelerating development cycles.
Simulation-First Development
Reinforcement Learning in Simulation
Train autonomous behaviors without real-world risk
Build intelligent autonomy policies by letting agents learn through trial and error in simulated environments. Train millions of episodes in hours—impossible in the real world—then transfer learned behaviors to physical robots with confidence.
Define reward functions, state spaces, and action constraints in simulation
Platform Capabilities
A complete simulation toolkit for robotics development, from physics engines to CI/CD integration.
Physics Engines
MuJoCo, Isaac Sim, and custom physics for accurate dynamics
Scenario Orchestration
Stress test edge cases, environmental changes, and failure modes
CI/CD Integration
Automated regression suites run on simulated fleets before rollout
Sim2Real Calibration
Reconcile physics assumptions with real telemetry over time
Performance Profiling
Measure cycle times, throughput, and resource utilization
Safety Validation
Verify safety constraints before deployment to real hardware
Synthetic Training Data
Generate unlimited training data in simulation—no manual labeling required.
Training Use Cases
From navigation to manipulation, simulation enables learning complex behaviors safely.
Autonomous Navigation
Train robots to navigate complex environments with obstacles and dynamic agents
Manipulation Tasks
Learn precise pick-and-place, assembly, and dexterous manipulation skills
Multi-Robot Coordination
Optimize fleet behaviors for warehouse logistics and collaborative tasks
Failure Recovery
Build robust policies that gracefully handle unexpected situations