Bio Inspired Robotics
Blueprints magnetosome-powered actuators and MR-fluid routing for agile, ultra-low-power robotics.
Key Measures (from paper)
- Per-operation energy and duty cycles.
- Throughput and latency of spin operations.
- Logic fidelity and error-correction strategy.
- Power envelope during actuation sequences.
Spin Dynamics & Energy
Landau–Lifshitz–Gilbert (LLG) equation for unit magnetization $\mathbf{m}$:
$$ \frac{d\mathbf{m}}{dt} = -\gamma\, \mathbf{m} \times \mathbf{H}_{\text{eff}} + \alpha\, \mathbf{m} \times \frac{d\mathbf{m}}{dt} $$
Larmor precession frequency under field $\mathbf{B}$:
$$ \omega = \gamma \lVert \mathbf{B} \rVert, \qquad f = \frac{\omega}{2\pi} $$
Landauer bound per irreversible bit operation at temperature $T$:
$$ E_{\min} \ge k_\mathrm{B} T \ln 2 $$
Empirical profiles from the paper place gate operations within picojoule budgets while sustaining nanowatt active power through minimal-duty spin control and MR-fluid reconfiguration.
Architecture at a Glance
Magnetosome Logic Chains
- Binary via spin alignment ($\uparrow/\downarrow$) and precession pulses.
- Spin–spin coupling enables basic logic (NOR, XOR).
- Error correction maintains >95% fidelity.
MR-Fluid Routing
- Viscosity modulation under magnetic fields for dynamic interconnects.
- Reconfigurable pathways for movement primitives and control loops.
- Low-latency switching with minimal energy overhead.