577i's Convergent Approach
We operate at the intersection of three powerful domains, creating capabilities greater than the sum of their parts by enhancing COTS hardware with proprietary AI.
Advanced AI/ML
State-of-the-art AI optimized for resource-constrained environments, sparse-data learning, and explainability.
Robotics Integration
Transforming standard robotic platforms into intelligent autonomous systems via proprietary AI and sensor fusion.
High-Energy Physics
Applying AI to complex physics challenges in sensing, radar, and energy, leveraging physics-informed methods.
The Convergence Advantage
Our true differentiation emerges at the intersection points. AI enhances robotic perception and control; physics informs more robust AI models; robotics provides platforms for advanced physics-based sensors. Click on the diagram areas to explore the synergy.
Core Technologies
Our proprietary technologies enable breakthrough capabilities across defense and commercial applications.
Advanced AI/ML Research
Our AI/ML research focuses on creating systems that operate effectively in challenging environments—where data is limited, computational resources are constrained, and failure is not an option.
Sparse-Data Learning
Achieving high performance even with limited training examples.
Edge AI Optimization
Model compression and efficient architectures for resource-constrained hardware.
Explainable AI (XAI)
Developing transparent algorithms with clear justifications for mission-critical systems.
Reinforcement Learning
Creating systems that learn optimal behaviors through environmental interaction.
Breakthrough Research Areas
Pushing the boundaries at the convergence of AI, robotics, and physics.
AI-Enhanced Radar Systems
Combining classical radar principles with advanced AI for unprecedented detection capabilities without hardware changes.
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Autonomous Navigation (GPS-Denied)
Developing systems using computer vision, inertial data, and ML to maintain positioning when GPS is unavailable or unreliable.
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Physics-Informed Neural Networks
Incorporating physical laws into neural networks for more robust, accurate, and data-efficient AI models in complex systems.
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Human-Robot Collaboration
Exploring effective teaming between humans and autonomous systems with intuitive interfaces and intelligent assistance.
Learn MoreOur Innovation Process
A structured approach ensuring consistent results from research to deployment.
1. Define Challenge
Identify critical capability gaps requiring innovative solutions.
2. Research
Explore solutions at the intersection of AI, robotics, and physics.
3. Prototype
Quickly develop and validate functional prototypes using COTS integration.
4. Validate
Test solutions in realistic environments to ensure operational performance.
5. Deploy
Refine validated solutions into deployable products with support.
Intellectual Property
Our growing patent portfolio protects our unique technological advances at the convergence. Contact us for specific details.
Sparse-Data Learning System
Filed: January 2025
Novel neural network architecture enabling high-performance object detection with minimal training examples.
EM Signal Processing via PINNs
Filed: March 2023
System enhancing radar performance by incorporating physical wave propagation laws into neural networks.
Autonomous Navigation (GPS-Denied)
Filed: June 2024
Method for real-time positioning using multi-sensor fusion and reinforcement learning when GPS is unavailable.
Research Collaborations
Partnering with leading institutions and organizations to advance the state of the art.
Oak Ridge National Lab
Booster Robotics
Palantir
U.S. Army
U.S. Navy
U.S. Air Force
U.S. Space Force
The Ohio State University
Anduril Industries
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Partner with usPartner With Us to Pioneer the Future
Join us in creating breakthrough technologies at the convergence of AI, robotics, and physics that transform what's possible.