KORTHOS / ECOSYSTEM / PRODUCT

ROSbot XL

About

About ROSbot XL

ROSbot XL uses four encoded DC motors and interchangeable standard and mecanum wheels for indoor robot development. An integrated power board manages its 86-watt-hour battery and supplies selectable voltages to the onboard computer and attached sensors.

Compute options include Raspberry Pi 5, NVIDIA Jetson Orin Nano and ASUS NUC. A universal mounting plate supports lidar, cameras and robot arms. Husarion offers preconfigured telepresence, autonomy and manipulation packages with ROS 2 reference projects and open-source software.

Capabilities

Source-backed capabilities

  • Navigation and obstacle avoidance

    Claimed - Husarion presents ROSbot XL for indoor autonomous-navigation research, education and rapid product development.

    Source

Supply

Supply / Components

  • Husarion ROSbot XL

    Microcontroller - electronics - STMicroelectronics - Husarion ROSbot XL uses an STM32F407-based real-time controller - source: husarion.com

    Source
  • Husarion ROSbot XL

    Inertial Sensor - sensors - Bosch Sensortec - Husarion ROSbot XL integrates a Bosch BNO055 nine-axis inertial sensor - source: husarion.com

    Source

Research

  • Direct Data Driven Natural Gradient Descent for Control

    2026-07-03 - Research Publication - This paper introduces a novel direct data-driven control framework based on Natural Gradient Descent (NGD) to design interpretable and robust closed-loop policies without requiring explicit model identification.

    Source
  • RAI: Flexible Agent Framework for Embodied AI

    2025-05-12 - Research Publication - obotic stacks, Large Language Models, and simulations. It provides out-of-the-box integration with state-of-the-art systems like ROS 2. It also comes with dedicated mechanisms for the embodiment of Agents. These mechanisms have been tested on a physical robot, Husarion ROSBot XL, which was coupled with its digital twin, for rapid prototyping. Furthermore, these mechanisms have been deployed in two simulations: (1) robot arm manipulator and (2) tractor controller. All of these deployments have been evaluated in terms of their control capabilities, effectiveness of embodiment, and perception ability. The proposed framework has been used successfully to build systems with multiple agents. It has demonstrated effectiveness in all the aforementioned tasks. It also enabled identifying and addressing the shortcomings of the generative models used for embodied AI. Comments: 12 pages, 8 figures,

    Source
  • WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile Robot State Estimation

    2025-03-17 - Research Publication - ethods to reduce inertial drift: a wheel-mounted approach and driving the mobile robot in periodic trajectories. Additionally, we enforce a wheelbase constraint to further improve positioning performance. To evaluate our proposed approach we recorded using the Rosbot-XL a wheel-mounted initial dataset totaling 190 minutes, which is made publicly available. Our approach demonstrated a 66\% improvement over state-of-the-art approaches. As a consequence, our approach enables navigation in challenging environments and bridges the pure inertial gap. This enables seamless robot navigation using only inertial sensors for short periods. Subjects: Robotics (cs.RO) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) Cite as: arXiv:2503.13568 [cs.RO] (or arXiv:2503.13568v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2503.13568 Focus to learn more arXiv-issued DOI via D

    Source

Timeline

  • Husarion introduces ROSbot XL at ROSCon

    2022-10-19 - Product Launch - ROSbot XL was positioned for prototyping, development and production-phase robotics use cases. The platform extended Husarion ROS and ROS 2 mobile robot lineup. The product gives Husarion a concrete offering for commercial automation and autonomous-system workflows.

    Source

Context

Comparable Systems