AI Models for Robot Control
Move beyond fixed scripts to intelligent robot behaviors powered by AI. Cyberwave enables you to deploy vision-language-action models, reinforcement learning policies, and hybrid AI systems that adapt to your environment and tasks.
AI-Powered Robot Control
Multiple paradigms for intelligent robot behavior, from end-to-end learning to hybrid approaches.
End-to-end models that see, understand language, and output actions directly
Train Your Own Models
Reduce setup time from months to days
Cyberwave provides the complete pipeline to collect robot data, curate training datasets, and train AI models like VLAs or custom RL policies—all integrated with your fleet.
Form Factor Optimized Models
Different robot types require different AI architectures and optimizations.
Robotic Arms
AMRs & AGVs
Drones & UAVs
UUVs & Marine
Skill Authoring
Multiple ways to create robot behaviors—choose what fits your team and use case.
Natural Language
Describe tasks in plain English, AI translates to robot actions
Demonstration
Show the robot what to do through teleoperation recordings
Code
Write skills in Python with full access to robot APIs
RL Training
Define rewards and let the robot learn optimal behaviors
Simulation-Trained Policies
Pre-trained policies from reinforcement learning, ready for Sim2Real transfer.
Autonomous Navigation
Navigate complex environments with dynamic obstacles
Dexterous Manipulation
Grasp and manipulate objects of varying shapes
Multi-Agent Coordination
Collaborate with other robots without collisions
Recovery & Failure Handling
Gracefully handle unexpected situations
Safety Guardrails
AI behaviors are always bounded by safety constraints that cannot be overridden.