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Aurora930 Pro depth camera The 3D depth camera powers the AI visuals and handles advanced tasks like depth image data processing and 3D visual mapping/navigation. |
Raspberry Pi 5 Controller MentorPi robot is powered by Raspberry Pi 5 controller, allowing you to embark on motion control, machine vision, and OpenCV projects. |
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Oradar MS200 Lidar MentorPi features integrated Lidar for intelligent SLAM mapping and navigation. It expertly handles path planning, fixed-point navigation, and dynamic obstacle avoidance. |
High Performance Encoder Motor This motor combines robust power with a high-precision encoder, all housed in a protective end shell for extended durability and life. |
MentorPi chatgpt robot applies a multimodal large model to understand users' voice commands, enabling multi-point navigation. Once it arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet real-world needs.
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Semantic Understanding MentorPi T1 leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent. |
Environmental Perception Powered by a vision language model, Hiwonder MentorPi can interpret objects in its surroundings and understand the spatial layout of the environment. |
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Intelligent Navigation MentorPi continuously sends environmental data to the vision language model for real-time in-depth analysis. It dynamically adjusts its navigation path based on user voice commands. |
Scene Understanding With the support of a vision language model, MentorPi car can deeply interpret the semantic information of its environment, including surrounding objects and events within its field of view. |
MentorPi T1 robot car is equipped with a high-performance AI voice interaction module. Unlike conventional AI systems that operate on unidirectional command-response mechanisms, MentorPi leverages ChatGPT to enable a cognitive transition from semantic understanding to physical execution, significantly enhancing the fluidity and naturalness of human-machine interaction. Combined with machine vision, Hiwonder MentorPi exhibits advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications.
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Voice Control With ChatGPT integration, MentorPi chatgpt robot can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction. |
Color Tracking MentorPi utilizes vision language model analysis to detect and lock onto any object within its field of view. With the integration of a PID algorithm, it achieves precise and real-time target tracking. |
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Autonomous Patrolling Utilizing semantic understanding from a large language model, MentorPi can accurately detect and track lines of various colors in real time while autonomously navigating obstacles,. |
Vision Tracking With the advanced perception capabilities of a vision AI large language models, MentorPi T1 car can intelligently identify and lock onto target objects even in complex environments. |
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Color Recognition and Tracking Working with OpenCV, MentorPi can track specific color. After you select the color on the app. |
Target Tracking Through vision positioning of the target object, the target object can be better targeted and tracked. |
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QR Code Recognition MentorPi can recognize the content of custom QR codes and display the decoded information. |
Vision Line Tracking MentorPi raspi robot supports custom color selection, and the robot can identify color lines and track them. |
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Wireless Controller Control MentorPi supports wireless controller control and can connect to the robot via Bluetooth to control the robot in real time. |
App Control WonderPi app supports Android and iOS. Switch game modes easily and quickly to experience various AI games. |
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.
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Wrapped Rear Tail Shell It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences. |
Permanent Magnet Brushed Motor The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change. |
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High-precision Magnetic Encoder The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability. |
Durable Metal Gear The motor incorporates a full metal gear and metal output shaft, reducing power consumption and extending the motor's service life. |
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Hall Encoder Geared Motor The Hall speed measurement code disc is a speed measurement module that utilizes Hall sensor encoders. Equipped with a strong magnetic disc, it generates AB phase output pulse signals, enabling the detection of motor rotation direction and speed. |
7.4V 2200mAh 10C LiPo Battery The LiPo battery features high-quality 18650 cells and a built-in protection board that safeguards against damage from overcharging, overcurrent, overdischarge, and short circuits. It provides a long service life, with over 300 charge cycles. |
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Dimensional Diagram |
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Fill out the form below and our team will get back to you with bulk pricing.
|
Aurora930 Pro depth camera The 3D depth camera powers the AI visuals and handles advanced tasks like depth image data processing and 3D visual mapping/navigation. |
Raspberry Pi 5 Controller MentorPi robot is powered by Raspberry Pi 5 controller, allowing you to embark on motion control, machine vision, and OpenCV projects. |
|
Oradar MS200 Lidar MentorPi features integrated Lidar for intelligent SLAM mapping and navigation. It expertly handles path planning, fixed-point navigation, and dynamic obstacle avoidance. |
High Performance Encoder Motor This motor combines robust power with a high-precision encoder, all housed in a protective end shell for extended durability and life. |
MentorPi chatgpt robot applies a multimodal large model to understand users' voice commands, enabling multi-point navigation. Once it arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet real-world needs.
|
Semantic Understanding MentorPi T1 leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent. |
Environmental Perception Powered by a vision language model, Hiwonder MentorPi can interpret objects in its surroundings and understand the spatial layout of the environment. |
|
Intelligent Navigation MentorPi continuously sends environmental data to the vision language model for real-time in-depth analysis. It dynamically adjusts its navigation path based on user voice commands. |
Scene Understanding With the support of a vision language model, MentorPi car can deeply interpret the semantic information of its environment, including surrounding objects and events within its field of view. |
MentorPi T1 robot car is equipped with a high-performance AI voice interaction module. Unlike conventional AI systems that operate on unidirectional command-response mechanisms, MentorPi leverages ChatGPT to enable a cognitive transition from semantic understanding to physical execution, significantly enhancing the fluidity and naturalness of human-machine interaction. Combined with machine vision, Hiwonder MentorPi exhibits advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications.
|
Voice Control With ChatGPT integration, MentorPi chatgpt robot can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction. |
Color Tracking MentorPi utilizes vision language model analysis to detect and lock onto any object within its field of view. With the integration of a PID algorithm, it achieves precise and real-time target tracking. |
|
Autonomous Patrolling Utilizing semantic understanding from a large language model, MentorPi can accurately detect and track lines of various colors in real time while autonomously navigating obstacles,. |
Vision Tracking With the advanced perception capabilities of a vision AI large language models, MentorPi T1 car can intelligently identify and lock onto target objects even in complex environments. |
|
Color Recognition and Tracking Working with OpenCV, MentorPi can track specific color. After you select the color on the app. |
Target Tracking Through vision positioning of the target object, the target object can be better targeted and tracked. |
|
QR Code Recognition MentorPi can recognize the content of custom QR codes and display the decoded information. |
Vision Line Tracking MentorPi raspi robot supports custom color selection, and the robot can identify color lines and track them. |
|
Wireless Controller Control MentorPi supports wireless controller control and can connect to the robot via Bluetooth to control the robot in real time. |
App Control WonderPi app supports Android and iOS. Switch game modes easily and quickly to experience various AI games. |
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.
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|
Wrapped Rear Tail Shell It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences. |
Permanent Magnet Brushed Motor The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change. |
|
High-precision Magnetic Encoder The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability. |
Durable Metal Gear The motor incorporates a full metal gear and metal output shaft, reducing power consumption and extending the motor's service life. |
|
Hall Encoder Geared Motor The Hall speed measurement code disc is a speed measurement module that utilizes Hall sensor encoders. Equipped with a strong magnetic disc, it generates AB phase output pulse signals, enabling the detection of motor rotation direction and speed. |
7.4V 2200mAh 10C LiPo Battery The LiPo battery features high-quality 18650 cells and a built-in protection board that safeguards against damage from overcharging, overcurrent, overdischarge, and short circuits. It provides a long service life, with over 300 charge cycles. |
|
Dimensional Diagram |
No reviews yet. Be the first to share your experience!
Fill out the form below and our team will get back to you with bulk pricing.
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