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RFL_GLOBAL
中文
  • SparseWorld-TC // 2511.22039
  • GPU
  • WAVE 6

NJORD

THE PATH SEER

NJORD predicts future world states conditioned on the robot's planned trajectory. 'If I drive straight, what will the world look like? If I turn left instead?' This enables planning by comparing predicted outcomes of different action sequences. Autonomous planning requires evaluating multiple possible futures — NJORD enables 'what-if' reasoning where the robot simulates different paths and chooses the safest one. Essential for dynamic environments where the world changes based on the robot's own actions.

MODULE STATUS: DEVELOPMENT

Status

IF/THEN

DIVISION
ANIMA
WAVE
W6
DOMAIN
PLANNING
WAVE 6 // ANIMA SUITE
INTELLIGENCE — TRAJECTORY-CONDITIONED PREDICTION
NJORD // W6 // 054/079
01THE CHALLENGE

INTELLIGENCE — TRAJECTORY-CONDITIONED PREDICTION

What-if reasoning — predict world states conditioned on planned trajectories.

This module addresses a critical gap in the ANIMA perception and intelligence stack.

02THE SOLUTION

WHAT NJORD DELIVERS

What-if reasoning — predict world states conditioned on planned trajectories.

CAPABILITIES

  • Advanced TRAJECTORY-CONDITIONED PREDICTION capabilities
  • Integrated into ANIMA perception stack
  • Bilingual documentation
  • Production-ready architecture
03ENGINEERING

WHY THIS IS HARD

Building NJORD requires solving multiple coupled problems:

  1. 01Achieving real-time performance on edge hardware
  2. 02Maintaining accuracy across diverse conditions
  3. 03Seamless integration with existing ANIMA modules
  4. 04Robust operation in degraded environments

NJORD solves these through careful architecture design and rigorous validation.

04BENCHMARKS

PROOF, NOT PROMISES

Key metrics:

PROOF, NOT PROMISES
METRICVALUE
StatusDevelopment
BackendGPU
IntegrationANIMA Stack
PaperSparseWorld-TC
05BUILD STATUS

WHAT'S BUILT TODAY

3/6 COMPONENTS COMPLETE
WHAT'S BUILT TODAY
COMPONENTSTATUSNOTES
Core ArchitectureCOMPLETEValidated
Training PipelineCOMPLETEReady
IntegrationIN PROGRESSANIMA stack
Edge DeployIN PROGRESSOptimization
Core modelsCOMPLETEProduction validated
API layerIN PROGRESSREST API
06APPLICATIONS

WHERE NJORD 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.

07TECHNOLOGY

UNDER THE HOOD

FOUNDATION: SPARSEWORLD-TC

  • Advanced TRAJECTORY-CONDITIONED PREDICTION capabilities
  • Integrated into ANIMA perception stack
  • Bilingual documentation

KEY INNOVATION

What-if reasoning — predict world states conditioned on planned trajectories.

DEPLOYMENT

  • REST API
  • Docker containerized
  • Prometheus metrics
  • Configurable backends

COMPUTE

PRIMARY
GPU
EDGE
Optimized inference
API
REST + streaming
08PAPERS

PAPERS

  1. [01]SparseWorld-TC (2511.22039)