Omni LMs Models

Embodied Interaction & Robotics Omni Models

Perception-action omni models for robots and embodied systems requiring multimodal grounding, control cues, and safe adaptation.

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Embodied Interaction & Robotics Omni Models — Robot Motion Rig

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GRIPPER DECK PWR MOT SFE SAFE RAIL PERCEPT ARM CONTROL ARM VISION CORE LID IMU ACT GYRO ONBOARD ONLY SENSOR HEAD 6 DOF | SAFE DEPTH MAP 120K PTS OBJECT TRACKER 12 locked TRACK LOCK GROUNDER LID IMU TXT IMG VOX ACT 3 MODS SPATIAL MAP 40x40M COVERAGE COLLISION MON clear 8cm prox 1.2m contact: none ZONE SAFE PID CONTROLLER ERR 0.02 rad MOTOR TUNER torque 4.1 Nm CALIBRATED TRAJECTORY PLN path 92% detour 8% replan PATH LOCKED SAFETY ALIGN risk 0.04 rules 148 0 viol PASSED SAFE ADAPT ON-POLICY PILOT PHONE OFFLINE LIVE FIELD TABLET OPS CONSOLE 22ms CPU 41% WRIST UNIT MOTION PROFILER PLAN REAL FIRMWARE TRAY fw 3.2.1 signed rollback ready 12 ROBOTS TRACKED OTA CONSOLE FLEET 98.4% OK ROBOT REGISTRY v1 v2 v3 FLEET VERIFIED SDK KIT DEV BOARD SENSOR PACK SPARE SERVO BATTERY PACK TEST PROBE TOOLCHAIN DATASET CACHE CALIB KIT TEST BENCH

What this model category solves

Embodied omni models connect perception, language, and action so robotic systems can operate reliably in changing physical environments.

Core capabilities

  • Multimodal state estimation for perception-guided control
  • Instruction grounding into executable action sequences
  • Safety-constrained adaptation to dynamic environments

Best-fit use cases

  • Warehouse and manufacturing robotic assistants
  • Inspection robots with language-driven task orchestration
  • Human-robot collaboration workflows in service operations

Deploy safe embodied omni intelligence

SetuMind AI can help engineer evaluation protocols, safety layers, and staged deployment for robotics-grade multimodal systems.

Contact SetuMind AI

Category: Models · Section: Omni LMs · Detail: Embodied Interaction & Robotics Omni Models

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