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2026 R&D STACK IS NOW ACTIVECore Mission: Bringing Virtual Experience to Life · Principle II: Bring Joy to EveryoneKamino-OS Native Build v3.4.1
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Luminus R&D Archives · Embodiment Engineering

RESEARCH & EMBODiment ENGINEERING

Scaling the Intelligent Embodiment Being (IEB). We develop low-latency kinematics software, real-time control bridges, and socially-aligned world models to bring joy to everyone.

Bring Virtuals—to Life.

Studio_Telemetry_v3.4.cpp
1000 HZ PREEMPT_RT LINK
Kamino OS Core Load Vector

ACTUATOR SWARM ENGINE

Cycle Jitter
1.43μs
Parallel Agents
4,096
Status: SOLVING ALGEBRAIC LOOPSSCHED_FIFO 99 Priority
Simulation Sandboxing Console

Sim-to-Real Hardware Bridge

Observe how our system architecture compiles spatial AI policies down to sub-millisecond edge commands. Click boot compiler to simulate real-time telemetry ingestion.

# kamino_solver_loop.py (R&D Artifact)
import jax
import jax.numpy as jnp
from kamino_physics import DualAdmmSolver

class MaximalCoordinateLoop(jax.experimental.Mesh):
    """
    Kamino Dual-ADMM Physics Solver executing 4,096 parallel 
    agents over Apple Silicon Metal / CUDA unified memory.
    Optimized for multi-linkage algebraic loop closures.
    """
    def __init__(self, key, num_envs=4096):
        self.key = key
        self.num_envs = num_envs
        self.solver = DualAdmmSolver(iterations=12, tolerance=1e-5)
        
    @jax.jit
    def step_physics(self, positions, velocities, control_torques):
        # Calculate non-tree linkage constraints on local GPU textures
        lambda_eq = self.solver.solve_lagrange(positions, velocities)
        new_vel = velocities + (control_torques + lambda_eq) * 0.001
        new_pos = positions + new_vel * 0.001
        return new_pos, new_vel

print("✓ Kamino ADMM Engine compiled dynamically on macOS Metal backends.")
Telemetry Execution Stream1000 HZ ACTIVE
Click "Boot Compiler" above to initialize real-time execution stream...
Reality Gap Background Graphic
Strategic Problem Statement

Why 90% of Embodied AI Models Fail in Production

Traditional robotics separates AI researchers from embedded control engineers. Generative world models operate at 10–30 Hz with stochastic variance, while joint motors demand 1,000 Hz deterministic precision.

01

Stochastic Policy Layer

V-JEPA 2.1 latent world models, vision-language-action (VLA) transformers, and generative spatial imagination layers.

Frequency: 10 – 60 Hz· Non-Deterministic
02

Deterministic Control Seam

Luminus Core-1 bare-metal Linux PREEMPT_RT kernel locking SCHED_FIFO 99 threads and zero-memory heap isolation.

Frequency: 1,000 Hz Hard Real-Time (< 1.5μs)
03

Hardware Actuation Seam

Omni-Joint Quasi-Direct Drive (QDD) actuators, cycloidal gearing, and CAN-FD / EtherCAT bus safety guards.

Frequency: 2,000 Hz Torque Clamp
Automated Kinematic Diagnostics

Test Your Robot Model for Real-Time Compilation

Drop your raw .urdf or .usd files to detect closed-loop constraint failures, joint singularities, and latency bottlenecks.

Productized SKU Hierarchy

Software & Hardware Products

Enterprise licensing, hardware node deployment packages, and managed engineering sprints tailored for your team. Contact us for custom quotes.

Software ArtifactSKU-EAI-S1

OpenUSD Topology Compiler

Automated URDF/OpenUSD ingestion into maximal-coordinate Kamino ADMM solver & zero-copy graph export.

Commercial Terms:Enterprise License / Inquiry
Open Weight (Apache 2.0)SKU-EAI-S2

KS-WI Open Model & Engine

1.6B V-JEPA open-weight model on HuggingFace with optional Hardened Production runtime export.

Commercial Terms:Open-Weight / Production Tier
FLAGSHIP HARDWARE
Beta HardwareSKU-EAI-H1

Luminus Core-1 Hardware Node

Jetson Orin AGX/NX edge node pre-flashed with Linux PREEMPT_RT kernel, C++ DBW engine, and CAN-FD stack.

Commercial Terms:Hardware Node Quote
Actuator HardwareSKU-EAI-H2

Omni-Joint Beta Node

Quasi-Direct Drive (QDD) servo stack with cycloidal gearhead & custom CAN-FD control board.

Commercial Terms:Actuator Quote / Inquiry
IEB PROGRAM: THE INTELLIGENT EMBODIMENT BEING

Execution Roadmap & Milestones

Our phased timeline transitions Luminus Labs from lean beta productization in Johor Bahru to enterprise and dual-use defense scale.

Q4 — 202710x R&D Cycle Compression

Autonomous Closed-Loop Production

Transitioning to a complete end-to-end framework where mechanical assembly parameters are optimized dynamically by the embodiment world intelligence.

Q1 — 202710,000+ Synchronized Nodes

Decentralized Embodied Swarms

Introducing unified peer-to-peer spatial model state transfers. Robots cooperatively update local world models without cloud execution bottlenecks.

Q3 — 2026< 40μs System Latency

Interactive Edge Pilot

Deploying Luminus Core-1 integration kits onto real bipedal systems inside partner industrial facilities, proving direct multi-frequency trajectory upsampling.

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Accelerate Physical Robotics Development

Ready to Bridge Your Spatial AI to Bare-Metal Hardware?

Upload your raw robot kinematics file for instant self-serve diagnostics, or book a 3-week Sim-to-Real deployment sprint directly with our Johor Lab engineers.

Global R&D Base & Academic Network

Institutional Infrastructure

Our hardware R&D facility in Johor Bahru works in lockstep with leading university AI labs and bare-metal testing benches.

Johor Bahru Lab Base
R&D Headquarter Base

Johor Bahru Lab Base

Dedicated physical hardware assembly and testing lab.

LOCATION: JOHOR BAHRU, MY● ACTIVE LAB BASE
3kg Bipedal Skeleton Test Rig
Bare-Metal Hardware

3kg Bipedal Test Rig

In-house physical bipedal skeleton test bench execute High Fidelity rive-by-wire control loops with zero-memory safety clamps.

CYCLES: 1,000 HZ< 1.5μs JITTER
Academic Pipelines
Institutional Research

Academic Pipelines

Active research co-development pipelines with tertiary education targeting RSS, ICRA, and IROS 2026 preprints.

PARTNERS: SAIL / MIT2 PREPRINTS ACTIVE