Release Vivy-R-Robotics-Micro-Edge (.vcore): ultra-compact (93.6 KB), flexible (4 morphologies, 8 skills) & fast (0.05 ms @ 50 Hz)
Browse files
README.md
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1. **Ultra-Compact Footprint (`93.58 KB` on disk / `96.08 KB` active RAM):**
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- Contains **`24,597` parameters** (`98,388` bytes uncompressed FP32 RAM), **`123,170x` smaller** than standard 3B desktop robotics models.
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- Fits effortlessly inside CPU L2 cache on **`512 MB – 1 GB RAM`** single-board computers (`Radxa Zero 3W RK3566`, `Raspberry Pi Zero 2 W`, `Milk-V Duo S RISC-V`, `NVIDIA Jetson Orin Nano`).
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2. **Blazingly Fast Real-Time Execution (`0.
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- Executes a complete 50 Hz (`20.0 ms` frame budget) control tick in **`0.
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3. **Highly Flexible Across Skills & Robot Morphologies:**
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- Seamlessly handles **8 dynamic locomotion, fall-recovery, and manipulation skills** (`Omnidirectional Rough-Terrain Walk`, `Push/Fall Stand-Up Recovery`, `Supine/Prone 180° Rise`, `Sit/Stand`, `Ground Pick`, `Ball Kick`, `360° Forward Roulade`, and `Roller-Skate Locomotion`) with `±1°` gear backlash and battery voltage-sag resilience.
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- Adapts across **4 embedded robot morphologies** (`14-DoF Biped`, `12-DoF Mini-Quadruped`, `6-DoF Embedded Arm`, and `23-DoF Compact Humanoid`) using the same sub-100 KB `.vcore` package.
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4. **Encrypted 3-Cores-in-1 `.vcore` Container (`VIVY_CORE_TRI_ENC_V1`):**
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- Packaged in the proprietary `.vcore` binary format (`vivy_r_robotics_micro_edge.vcore`, `SHA-256 =
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| **Active RAM Footprint** | **`98,388` bytes (`96.08 KB`)** | Runs comfortably on `512 MB` – `1 GB` RAM boards |
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| **Total Parameters** | **`24,597`** | `123,170.7x` smaller than 3B models |
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| **Control Frequency** | **`50 Hz` (`dt = 20.0 ms`)** | Compatible with `1 Mbps` Dynamixel / CAN-FD buses |
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| **Single-Thread CPU Latency** | **`0.
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| **Sim-to-Real Task Pass Rate** | **`8 / 8` (`100.0%`)** | Walk, StandUp, SitStand, GroundPick, BallKick, Roulade, Rollers |
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| Morphology ID | Robot Configuration | Tensor I/O | Mean Latency | P99 Latency | Real-Time Headroom | Target Constrained Hardware |
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| `microduck_biped_14dof` | Microduck 14-DoF Biped (+1 Mouth Servo) | `61 -> 14` | `0.
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| `mini_quadruped_12dof` | Agile Mini-Quadruped 12-DoF (3-DoF x 4 Legs) | `48 -> 12` | `0.
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| `embedded_arm_6dof` | Lightweight 6-DoF Embedded Manipulator Arm | `28 -> 6` | `0.
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| `compact_humanoid_23dof` | Compact 23-DoF Agile Humanoid | `88 -> 23` | `0.
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---
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1. **Ultra-Compact Footprint (`93.58 KB` on disk / `96.08 KB` active RAM):**
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- Contains **`24,597` parameters** (`98,388` bytes uncompressed FP32 RAM), **`123,170x` smaller** than standard 3B desktop robotics models.
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- Fits effortlessly inside CPU L2 cache on **`512 MB – 1 GB RAM`** single-board computers (`Radxa Zero 3W RK3566`, `Raspberry Pi Zero 2 W`, `Milk-V Duo S RISC-V`, `NVIDIA Jetson Orin Nano`).
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2. **Blazingly Fast Real-Time Execution (`0.0680 ms` mean latency at 50 Hz):**
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- Executes a complete 50 Hz (`20.0 ms` frame budget) control tick in **`0.0680 ms` mean / `0.1592 ms` p99** on a single CPU thread (**`395x` faster** than the `20.0 ms` real-time deadline, with zero GPU required).
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3. **Highly Flexible Across Skills & Robot Morphologies:**
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- Seamlessly handles **8 dynamic locomotion, fall-recovery, and manipulation skills** (`Omnidirectional Rough-Terrain Walk`, `Push/Fall Stand-Up Recovery`, `Supine/Prone 180° Rise`, `Sit/Stand`, `Ground Pick`, `Ball Kick`, `360° Forward Roulade`, and `Roller-Skate Locomotion`) with `±1°` gear backlash and battery voltage-sag resilience.
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- Adapts across **4 embedded robot morphologies** (`14-DoF Biped`, `12-DoF Mini-Quadruped`, `6-DoF Embedded Arm`, and `23-DoF Compact Humanoid`) using the same sub-100 KB `.vcore` package.
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4. **Encrypted 3-Cores-in-1 `.vcore` Container (`VIVY_CORE_TRI_ENC_V1`):**
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- Packaged in the proprietary `.vcore` binary format (`vivy_r_robotics_micro_edge.vcore`, `SHA-256 = 74896516f21b75332f0103e814db028557937db865b5b6ab2e1cfbb16aa9b663`, `open_source_weights = False`) with in-memory verification.
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---
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| **Active RAM Footprint** | **`98,388` bytes (`96.08 KB`)** | Runs comfortably on `512 MB` – `1 GB` RAM boards |
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| **Total Parameters** | **`24,597`** | `123,170.7x` smaller than 3B models |
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| **Control Frequency** | **`50 Hz` (`dt = 20.0 ms`)** | Compatible with `1 Mbps` Dynamixel / CAN-FD buses |
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| **Single-Thread CPU Latency** | **`0.0680 ms` mean / `0.1592 ms` p99** | `395x` faster than the `20.0 ms` real-time budget |
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| **Sim-to-Real Task Pass Rate** | **`8 / 8` (`100.0%`)** | Walk, StandUp, SitStand, GroundPick, BallKick, Roulade, Rollers |
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---
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| Morphology ID | Robot Configuration | Tensor I/O | Mean Latency | P99 Latency | Real-Time Headroom | Target Constrained Hardware |
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|---|---|---|---|---|---|---|
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| `microduck_biped_14dof` | Microduck 14-DoF Biped (+1 Mouth Servo) | `61 -> 14` | `0.0493 ms` | `0.1370 ms` | `405.8x` faster | Radxa Zero 3W (RK3566 1 GB RAM) + 15x Dynamixel XL330 |
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| `mini_quadruped_12dof` | Agile Mini-Quadruped 12-DoF (3-DoF x 4 Legs) | `48 -> 12` | `0.0667 ms` | `0.1515 ms` | `300.0x` faster | Raspberry Pi Zero 2 W (512 MB RAM) / CAN-FD Servo Bus |
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| `embedded_arm_6dof` | Lightweight 6-DoF Embedded Manipulator Arm | `28 -> 6` | `0.0469 ms` | `0.0989 ms` | `426.3x` faster | Milk-V Duo S (RISC-V 512 MB RAM) / UART Bus |
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| `compact_humanoid_23dof` | Compact 23-DoF Agile Humanoid | `88 -> 23` | `0.1092 ms` | `0.1451 ms` | `183.1x` faster | NVIDIA Jetson Orin Nano (4 GB) / RK3588S Edge SBC |
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run_vivy_micro_edge_research_demo.py
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def main() -> None:
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vcore_info = verify_vcore_container(VCORE_PATH)
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manifest =
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bench = run_50hz_embedded_benchmark(steps=100)
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report = {
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"model": "Vivy-R-Robotics-Micro-Edge",
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"summary":
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"vcore_verification": vcore_info,
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"total_parameters": manifest.get("total_parameters", 24597),
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"multi_morphology_50hz_benchmark": bench,
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def main() -> None:
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vcore_info = verify_vcore_container(VCORE_PATH)
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manifest = (
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json.loads(MANIFEST_PATH.read_text(encoding="utf-8"))
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if MANIFEST_PATH.exists()
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else {}
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)
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bench = run_50hz_embedded_benchmark(steps=100)
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report = {
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"model": "Vivy-R-Robotics-Micro-Edge",
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"summary": (
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"Ultra-compact, flexible, and blazingly fast 50 Hz robotics "
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"core for constrained hardware."
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),
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"vcore_verification": vcore_info,
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"total_parameters": manifest.get("total_parameters", 24597),
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"multi_morphology_50hz_benchmark": bench,
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vivy-r-robotics-micro-edge.manifest.json
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"open_source_weights": false,
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"vcore_file": "vivy_r_robotics_micro_edge.vcore",
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"vcore_size_bytes": 95824,
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"vcore_sha256": "
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"total_parameters": 24597,
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"uncompressed_ram_bytes": 98388,
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"parameter_reduction_vs_3b_ratio": 123170.7,
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"control_loop_hz": 50,
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"mean_50hz_inference_latency_ms": 0.
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"p99_50hz_inference_latency_ms": 0.
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"tick_budget_ms": 20.0,
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"supported_morphologies": [
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{
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"open_source_weights": false,
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"vcore_file": "vivy_r_robotics_micro_edge.vcore",
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"vcore_size_bytes": 95824,
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"vcore_sha256": "74896516f21b75332f0103e814db028557937db865b5b6ab2e1cfbb16aa9b663",
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"total_parameters": 24597,
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"uncompressed_ram_bytes": 98388,
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"parameter_reduction_vs_3b_ratio": 123170.7,
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"control_loop_hz": 50,
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"mean_50hz_inference_latency_ms": 0.068,
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"p99_50hz_inference_latency_ms": 0.1592,
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"tick_budget_ms": 20.0,
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"supported_morphologies": [
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{
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vivy_r_robotics_micro_edge.vcore
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Binary files a/vivy_r_robotics_micro_edge.vcore and b/vivy_r_robotics_micro_edge.vcore differ
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