Modern robotic connectivity functions as the machine’s nervous system, requiring three essential capabilities:

• Real-Time, Low-Latency Control: Sub-microsecond timing and ultra-low jitter are essential for dynamic balancing, high-speed joint coordination, and closed-loop motor reflexes.

• High-Bandwidth Sensor Ingest: Multi-gigabit throughput (10G+) to stream raw, uncompressed vision and sensor data directly to Physical AI compute without processing delays or frame drops.

• Harness Simplification: Converging disparate protocols onto a single physical backbone (such as deterministic Ethernet) to eliminate bulky cable bundles, prevent mechanical wear at articulating joints, and cut payload weight.

A robot’s spinal cord is a single converged network fabric that carries hard real-time control traffic, high-bandwidth sensor streams, and system communication between a robot’s Sensor Plane, Actuator Plane, and Decision Plane — replacing separate wiring harnesses for each traffic class. MLE implements this in cost-optimized FPGA technology.

By tunneling: one protocol is transported inside another, adding network virtualization and a layer of functional safety and security. MLE tunnels protocols like EtherCAT, PCIe, GMSL, CAN-FD, and MIPI CSI-2 over shared physical links so a hand-mounted camera and a joint’s torque loop coexist without the camera’s bandwidth disturbing control determinism.

Less than 1 microsecond, with jitter measured in nanoseconds, because protocol stacks are accelerated in FPGA hardware pipelines rather than executed in software.

Separate harnesses raise cost, weight, and cabling complexity, and they limit flexibility and scalability — the same problem the automotive industry faces with in-vehicle networking. AMRs and humanoids operate under tighter size, weight, power, and cost (SWaP-C) budgets, which makes convergence necessary.

PCIe 3.1+, MIPI CSI-2, IPv4/TCP, IEEE 802.3bw/bp/ch/ae/an/by/cd/ba/bm/ck Ethernet variants, EtherCAT, PROFINET (IEC 61158/61784), CC-Link IE TSN, CANopen CIA301, and IEC 61131-3 PLC/NoPLC.

IPv4 gives a 32-bit address space — roughly 4.3 billion addressable nodes — so the same addressing scheme covers every sensor, actuator, and compute node inside a single robot and continues to work unchanged across an entire robot fleet. There is no protocol boundary or gateway translation between intra-robot networking and fleet-level networking: a joint controller, a hand-mounted camera, and a fleet management server all sit in one addressable namespace. Because IPv4 is ubiquitous in IT infrastructure, standard tooling, routing, and diagnostics apply directly to the robot’s internal network.

The fabric is software-defined and physical-layer agnostic, running over fiber, twisted-pair copper, or Single-Pair Ethernet (SPE). SPE matters for robotics because a single twisted pair reduces cable weight and connector size inside arms, joints, and torsos — critical under tight size, weight, power, and cost budgets. This flexibility supports two architectural patterns: disaggregation, where compute and sensing are physically separated and linked over the network, and Integrated Communication and Sensing (ICAS), where sensor data and control traffic share the same link.

Implemented in modern, cost-optimized FPGA technology, MLE provides an extensible platform to accommodate changes over the life-cycle and to support the many industry protocols, even EOL’ed or in-house protocols.