KORTHOS / ECOSYSTEM / PRODUCT

LIMO PRO

About

About LIMO PRO

LIMO PRO is a small programmable ground robot whose chassis can be configured for differential, Ackermann, tracked and omnidirectional movement. This gives researchers a common computer and sensor platform for comparing navigation behaviour across different mobility models. The vehicle carries onboard compute, lidar and vision hardware for mapping, localisation, obstacle avoidance and machine-learning experiments.

AgileX provides ROS and ROS 2 software, simulation resources and interfaces for adding sensors or manipulators. Students and developers can run standard navigation packages, collect physical-world data and test autonomy code before transferring it to larger platforms. LIMO PRO is sold as an assembled education and research system through AgileX and its distribution network.

Capabilities

Source-backed capabilities

  • Target markets: Robot developer platform
  • Navigation and obstacle avoidance

    Claimed - LIMO PRO detects and avoids dynamic obstacles while navigating. - environment: smooth concrete and sandy roads

    Source
  • SLAM mapping

    Claimed - LIMO PRO supports SLAM mapping and autonomous localization. - environment: smooth concrete and sandy roads

    Source

Supply

Supply / Components

  • LIMO PRO

    Jetson Orin Nano - Compute & Control - NVIDIA - AgileX lists NVIDIA Jetson Orin Nano compute in the LIMO PRO configuration - source: global.agilex.ai

    Source
  • LIMO PRO

    G4 LIDAR - Perception - YDLIDAR - AgileX lists YDLIDAR G4 lidar as part of the LIMO PRO sensor configuration - source: global.agilex.ai

    Source
  • LIMO PRO

    Dabai Depth Camera - Perception - Orbbec - AgileX lists an Orbbec DaBai depth camera in the LIMO PRO sensor configuration - source: global.agilex.ai

    Source

Research

  • MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN

    2026-03-03 - Research Publication - Vision-Language Navigation (VLN) aims to empower robots with the ability to perform long-horizon navigation in unfamiliar environments based on complex linguistic instructions. Its success critically hinges on establishing an efficient ``language-understanding -- visual-perception -- embodied-execution'' closed loop.

    Source
  • Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation

    2025-04-09 - Research Publication - Enhancing the spatial perception capabilities of mobile robots is crucial for achieving embodied Vision-and-Language Navigation (VLN). Although significant progress has been made in simulated environments, directly transferring these capabilities to real-world scenarios often results in severe hallucination phenomena, causing robots to lose effective spatial awareness.

    Source

Resources

Media library

Official exact-family developer guides, software and first-party media for LIMO PRO. Unrelated AgileX platforms are excluded.

Context

Comparable Systems