- Multi-Modal Sensing // —
- N/A
- WAVE 6
AEGIR
THE OCEAN
AEGIR surveys multi-modal sensing approaches for robotic perception — camera, LiDAR, radar, thermal, IMU, and their optimal fusion strategies. It covers sensor selection criteria, calibration requirements, and the best combination approaches for different deployment scenarios and hardware tiers. Sensor selection and fusion strategy are foundational decisions for any robotic system — AEGIR provides the empirical basis for choosing ANIMA's sensor configurations across different mission profiles and cost constraints.
MODULE STATUS: DEVELOPMENTStatus
MULTI
- DIVISION
- ANIMA
- WAVE
- W6
- DOMAIN
- SURVEYS
- WAVE 6 // ANIMA SUITE
- SURVEY — MULTI-MODAL SENSING
SURVEY — MULTI-MODAL SENSING
Survey of multi-modal sensing approaches for robotic perception.
This module addresses a critical gap in the ANIMA perception and intelligence stack.
WHAT AEGIR DELIVERS
Survey of multi-modal sensing approaches for robotic perception.
CAPABILITIES
- Advanced MULTI-MODAL SENSING capabilities
- Integrated into ANIMA perception stack
- Bilingual documentation
- Production-ready architecture
WHY THIS IS HARD
Building AEGIR requires solving multiple coupled problems:
- 01Achieving real-time performance on edge hardware
- 02Maintaining accuracy across diverse conditions
- 03Seamless integration with existing ANIMA modules
- 04Robust operation in degraded environments
AEGIR solves these through careful architecture design and rigorous validation.
PROOF, NOT PROMISES
Key metrics:
| METRIC | VALUE |
|---|---|
| Status | Development |
| Backend | N/A |
| Integration | ANIMA Stack |
| Paper | Multi-Modal Sensing |
WHAT'S BUILT TODAY
| COMPONENT | STATUS | NOTES |
|---|---|---|
| Core Architecture | COMPLETE | Validated |
| Training Pipeline | COMPLETE | Ready |
| Integration | IN PROGRESS | ANIMA stack |
| Edge Deploy | IN PROGRESS | Optimization |
| Core models | COMPLETE | Production validated |
| API layer | IN PROGRESS | REST API |
WHERE AEGIR DEPLOYS
- APP_01
ROBOTICS
Core module for autonomous robot systems.
- APP_02
DEFENSE
Military and security applications.
- APP_03
RESEARCH
Academic and industrial research platform.
UNDER THE HOOD
FOUNDATION: MULTI-MODAL SENSING
- Advanced MULTI-MODAL SENSING capabilities
- Integrated into ANIMA perception stack
- Bilingual documentation
KEY INNOVATION
Survey of multi-modal sensing approaches for robotic perception.
DEPLOYMENT
- REST API
- Docker containerized
- Prometheus metrics
- Configurable backends
COMPUTE
- PRIMARY
- N/A
- EDGE
- Optimized inference
- API
- REST + streaming
PAPERS
- [01]Multi-Modal Sensing (—)