Hiwonder's NexArm ROS Sandbox Kit is an all-in-one experimental platform purpose-built for advanced ROS education and embodied AI research. Featuring an advanced modular architecture, it natively fuses multimodal large models, OpenClaw agents, ACT, VLA, machine vision, and inverse kinematics into a complete validation loop spanning foundational concepts to high-level embodied algorithms.
The NexArm ROS Sandbox Kit unifies computer vision, localization, path planning, and grasping control into a complete smart sorting sandbox. It recognizes distinct features like color and shape to rapidly classify and sort cluttered objects.
Fusing the OpenClaw agent with multimodal AI models across speech, language, and vision, the NexArm ROS robotic arm executes complex remote tasks like visual scene understanding, dynamic object tracking, and data aggregation and analysis.
Progressive setups adapt to diverse learning stages and development goals. Scaling from standalone robotic arm control to multi-workstation collaboration, this single platform fulfills all classroom instruction, hands-on training, and research workflows.
Featuring a multi-DOF joint design paired with trapezoidal acceleration/deceleration, NexArm ROS ensures smooth, jitter-free motion. It effortlessly executes multi-angle grasping, transport, and placement.
Fusing RGB and depth data allows the NexArm ROS to perceive object colors and point cloud information. Leveraging inverse kinematics, it enables advanced AI projects including arbitrary 3D grasping, sorting, and transporting.
The expandable NexArm ROS robotic arm seamlessly integrates with advanced peripherals, including electric sliding rails. The modular metal sandbox baseplate enables highly efficient replication of complex physical interaction scenarios like smart warehousing.
The NexArm ROS series offers highly flexible hardware combinations to effortlessly adapt to diverse R&D stages and application environments. Featuring a dual-controller architecture, 3D depth camera, and AI voice interaction module as standard across the entire lineup, the series delivers consistent, high-tier core performance backed by multimodal perception and precise manipulation.
The standalone NexArm ROS robotic arm integrates multimodal large AI models, delivering deep visual perception and natural interaction for effortless basic grasping, sorting, and visual calibration. This setup is specifically designed for ROS onboarding and rapid algorithm validation.
Integrates a high-precision electric linear sliding rail and multi-tier shelving. It supports multi-workstation transport, automated inventory sorting, and inbound control to fully replicate industrial warehousing and logistics workflows.
This highly integrated sandbox features a dual-arm 3D vision system, an AI edge computing controller, and motorized drive mechanisms. It is engineered for dual-arm collaborative experimentation and embodied AI algorithm validation.
NexArm ROS is integrated with a suspended tank or suspended omnidirectional Mecanum wheel chassis. Beyond supporting remote mobile control via wireless controller or app, the setup drives efficient mobile tracking and autonomous line following.
Dimensional Diagram
Product Parameters
| Product Model | Basic sorting sandbox | Standard sorting sandbox | Advanced sorting sandbox |
|---|---|---|---|
| Dimensions | 304 × 304 mm | 608 × 304 mm | 608 × 608 mm |
| Material | Metal brackets | ||
| ESP32 controller | ESP-WROOM main chip | ||
| ROS controller | Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX | ||
| Control Methods | ROS topics/nodes, Python programming, app control, PC software control | ||
| Camera | Depth camera | ||
| Power supply | 12V 5A DC power adapter | ||
| Operating system | Ubuntu 22.04 + ROS 2 Humble | ||
| Software | iOS/Android app, Windows PC software | ||
| Communication | USB, Wi-Fi, Ethernet | ||
| Programming tools | Python, C, C++ | ||
| Storage | 64 GB TF card (Raspberry Pi 5 / Jetson Nano) 128 GB SSD (Orin Nano / Orin NX) | ||
| Servo model | HX-12H / HX-30HM / HX-65HM intelligent bus servos | ||
| Included materials | Comprehensive tutorials, ROS source code, ESP32 source code, system images, supporting softwares | ||
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Hiwonder's NexArm ROS Sandbox Kit is an all-in-one experimental platform purpose-built for advanced ROS education and embodied AI research. Featuring an advanced modular architecture, it natively fuses multimodal large models, OpenClaw agents, ACT, VLA, machine vision, and inverse kinematics into a complete validation loop spanning foundational concepts to high-level embodied algorithms.
The NexArm ROS Sandbox Kit unifies computer vision, localization, path planning, and grasping control into a complete smart sorting sandbox. It recognizes distinct features like color and shape to rapidly classify and sort cluttered objects.
Fusing the OpenClaw agent with multimodal AI models across speech, language, and vision, the NexArm ROS robotic arm executes complex remote tasks like visual scene understanding, dynamic object tracking, and data aggregation and analysis.
Progressive setups adapt to diverse learning stages and development goals. Scaling from standalone robotic arm control to multi-workstation collaboration, this single platform fulfills all classroom instruction, hands-on training, and research workflows.
Featuring a multi-DOF joint design paired with trapezoidal acceleration/deceleration, NexArm ROS ensures smooth, jitter-free motion. It effortlessly executes multi-angle grasping, transport, and placement.
Fusing RGB and depth data allows the NexArm ROS to perceive object colors and point cloud information. Leveraging inverse kinematics, it enables advanced AI projects including arbitrary 3D grasping, sorting, and transporting.
The expandable NexArm ROS robotic arm seamlessly integrates with advanced peripherals, including electric sliding rails. The modular metal sandbox baseplate enables highly efficient replication of complex physical interaction scenarios like smart warehousing.
The NexArm ROS series offers highly flexible hardware combinations to effortlessly adapt to diverse R&D stages and application environments. Featuring a dual-controller architecture, 3D depth camera, and AI voice interaction module as standard across the entire lineup, the series delivers consistent, high-tier core performance backed by multimodal perception and precise manipulation.
The standalone NexArm ROS robotic arm integrates multimodal large AI models, delivering deep visual perception and natural interaction for effortless basic grasping, sorting, and visual calibration. This setup is specifically designed for ROS onboarding and rapid algorithm validation.
Integrates a high-precision electric linear sliding rail and multi-tier shelving. It supports multi-workstation transport, automated inventory sorting, and inbound control to fully replicate industrial warehousing and logistics workflows.
This highly integrated sandbox features a dual-arm 3D vision system, an AI edge computing controller, and motorized drive mechanisms. It is engineered for dual-arm collaborative experimentation and embodied AI algorithm validation.
NexArm ROS is integrated with a suspended tank or suspended omnidirectional Mecanum wheel chassis. Beyond supporting remote mobile control via wireless controller or app, the setup drives efficient mobile tracking and autonomous line following.
Dimensional Diagram
Product Parameters
| Product Model | Basic sorting sandbox | Standard sorting sandbox | Advanced sorting sandbox |
|---|---|---|---|
| Dimensions | 304 × 304 mm | 608 × 304 mm | 608 × 608 mm |
| Material | Metal brackets | ||
| ESP32 controller | ESP-WROOM main chip | ||
| ROS controller | Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX | ||
| Control Methods | ROS topics/nodes, Python programming, app control, PC software control | ||
| Camera | Depth camera | ||
| Power supply | 12V 5A DC power adapter | ||
| Operating system | Ubuntu 22.04 + ROS 2 Humble | ||
| Software | iOS/Android app, Windows PC software | ||
| Communication | USB, Wi-Fi, Ethernet | ||
| Programming tools | Python, C, C++ | ||
| Storage | 64 GB TF card (Raspberry Pi 5 / Jetson Nano) 128 GB SSD (Orin Nano / Orin NX) | ||
| Servo model | HX-12H / HX-30HM / HX-65HM intelligent bus servos | ||
| Included materials | Comprehensive tutorials, ROS source code, ESP32 source code, system images, supporting softwares | ||
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For more discussion Click Here
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Category: View all Robotic Arm Kit
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