Extended from DETOUR — TreeHacks 2026 Winner (NVIDIA Edge AI Track)
Extended by: Yang Zhi (杨植) | Beijing Institute of Technology
| Feature | Original DETOUR | DETOUR-Plus |
|---|---|---|
| Maneuver Planning | Single threat, single burn | Multi-threat, optimal sequence |
| Secondary Detection | No | Yes - Check for new conjunctions |
| Harmonic Analysis | No | Yes - Orbital resonance detection |
| Agent Pipeline | 5 agents | 6 agents (+ Strategist) |
| Optimization | Heuristic | Fuel-constrained optimization |
DETOUR-Plus is an autonomous collision-avoidance system that runs on-board a satellite. The multi-agent LangGraph pipeline detects debris threats, assesses risk, plans optimal multi-maneuver sequences, validates safety constraints, and executes avoidance burns.
┌──────────────────────────────────────────────────────────────────┐
│ ASUS Ascent GX10 (On-Board) │
│ │
│ ┌─────────┐ ┌──────────┐ ┌──────────┐ ┌────────┐ ┌──────┐ │
│ │ SCOUT │→ │ ANALYST │→ │ PLANNER │→ │ SAFETY │→ │ OPS │ │
│ │ scan & │ │ risk & │ │ maneuver │ │ verify │ │BRIEF │ │
│ │ triage │ │ refine │ │ design │ │& exec │ │ │ │
│ └─────────┘ └──────────┘ └──────────┘ └────────┘ └──────┘ │
│ ↕ ↕ ↕ ↕ │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Physics Engine (deterministic) │ │
│ │ screening · risk · CW dynamics · RK4 · SGP4 · Chan Pc │ │
│ └──────────────────────────────────────────────────────────────┘ │
│ ↕ │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Satellite Model (fuel, power, dynamics) │ │
│ └──────────────────────────────────────────────────────────────┘ │
│ ↕ │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Nemotron 3 Nano 30B (NVFP4) via vLLM — local inference │ │
│ └──────────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────────┘
| Component | Path | Description |
|---|---|---|
| Agent Pipeline | agents/ |
LangGraph 5-agent pipeline with tool-calling |
| Physics Engine | engine/ |
RK4 solver, J2 perturbation, CW dynamics, Chan collision probability |
| Satellite Model | engine/models/active_satellite.py |
Full orbital dynamics with resource management (fuel, power, battery) |
| Tool Wrappers | agents/tools.py |
11 LangChain tools wrapping the physics engine |
| API | api/ |
FastAPI server with agent, catalog, conjunction, and satellite endpoints |
| Frontend | frontend/ |
Next.js + React Three Fiber 3D globe with live satellite tracking |
| Ascent GX10 Setup | scripts/setup_gx10.sh |
One-command setup for the ASUS Ascent GX10 |
| Agent | Role | Tools |
|---|---|---|
| Scout | Scan catalog for upcoming conjunctions, triage by severity | scan_conjunctions, scan_demo_conjunctions |
| Analyst | Deep risk assessment — Chan probability, high-fidelity TCA refinement | assess_risk, refine_conjunction, propagate_orbit |
| Planner | Design avoidance maneuvers considering satellite resources | propose_avoidance_maneuvers, simulate_maneuver, get_satellite_status, check_maneuver_feasibility |
| Safety | Validate constraints, approve or reject, execute approved burns | check_maneuver_constraints, get_satellite_status, check_maneuver_feasibility, execute_maneuver_on_satellite |
| Ops Brief | Generate human-readable summary for operators | (synthesis only) |
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
uvicorn api.app:app --reload --port 8000cd frontend
npm install
npm run dev # localhost:3000# Start Nemotron on the Ascent GX10
chmod +x scripts/setup_gx10.sh
./scripts/setup_gx10.sh
# Run agent pipeline
python -m agents.run "Scan for conjunction threats to satellite 25544 in the next 48 hours" --demo# Set OPENAI fallback in .env
NEMOTRON_BASE_URL=https://api.openai.com/v1
NEMOTRON_API_KEY=sk-...
NEMOTRON_MODEL=gpt-4o-mini
python -m agents.run "Scan for threats" --demonvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 — 4-bit quantized (NVFP4) for fast edge inference on the Ascent GX10. ~15GB model weight footprint, leaving ample memory for KV cache and concurrent requests on the 128GB unified memory Grace Blackwell SoC.
Served locally via NGC vLLM container with tool-calling (--enable-auto-tool-choice --tool-call-parser hermes --enable-chunked-prefill).
| Ground Station | On-Board (Detour) |
|---|---|
| 5-15 min communication delay | < 1 sec decision |
| Limited pass windows | 24/7 monitoring |
| Single point of failure | Autonomous operation |
| Manual operator in the loop | Agent-validated decisions |
In LEO, a debris collision can happen in minutes. You can't wait for the next ground station pass.
Solves the multi-conjunction avoidance problem with fuel constraints:
Given: N conjunction threats at times [t1, t2, ..., tN]
Fuel budget F_max
Target miss distance D_target
Find: Optimal maneuver sequence [(t_burn_1, Δv_1), (t_burn_2, Δv_2), ...]
Subject to:
Σ fuel_i ≤ F_max
|Δv_i| ≤ max_dv_per_burn
No secondary conjunctions created
Detects problematic orbital resonances:
- Orbital resonance detection: n1/n2 = p/q for small integers
- Synodic period calculation: Time between successive close approaches
- Recurrence prediction: Will the conjunction geometry repeat?
STRATEGIST_TOOLS = [
plan_multi_maneuver_sequence, # Optimal sequence planning
check_secondary_conjunctions, # Safety verification
analyze_orbital_harmonics, # Resonance detection
evaluate_maneuver_safety_score, # Comprehensive scoring
get_multi_threat_summary, # Threat overview
]# Activate environment
conda activate detour
cd /path/to/detour
# Run core algorithm demo
python demo_test.py
# Run full agent pipeline
python -m agents.run --demo "Scan for threats to ISS"Original DETOUR Team (TreeHacks 2026):
- Justyna — Frontend, 3D Visualization, UI/UX
- Ethan — ASUS Ascent GX10 Setup, Simulation Logic
- Adit — Satellite Data Feed, Simulation Logic
- Keanu — Ascent GX10 vLLM Setup, LangChain NVIDIA Nemotron Agent System
DETOUR-Plus Extension:
- Yang Zhi (杨植) — Multi-maneuver optimization, Harmonic analysis, Strategist Agent
- M.S. in Artificial Intelligence, Beijing Institute of Technology
- Email: yangzhi0776@163.com