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ROSpider ROS2 Hexapod Robot with Jetson/Raspberry Pi, Multimodal Large AI Models, ChatGPT, 3D Vision, SLAM Mapping & Navigation (Standard kit without Controller)
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Description
- 【ROS2 & High-Performance Hardware】Built on ROS2 and compatible with Jetson & Raspberry Pi 5, ROSpider features high-voltage bus servos and advanced gait algorithms, delivering exceptional all-terrain mobility.
- 【Large AI Models & SLAM Navigation】ROSpider integrates Large Language, Voice, and Vision Models with support for both online and local deployment. Combined with TOF LiDAR, it enables precision path planning, intelligent navigation, and advanced human-robot collaboration.
- 【3D Vision & 6DOF Robot Arm】Equipped with a 3D depth camera and a 6DOF robot arm, ROSpider allows for high-level AI tasks in 3D space, such as tracking, grasping, sorting, and transporting.
- 【Integrated & Efficient Algorithm Framework】Incorporates various algorithms and tools, including YOLO26, OpenCV, MoveIt2, and MediaPipe, providing a highly configurable and scalable environment for developers.
- 【Comprehensive Tutorials & Development Resources】Comes with extensive courses, code tutorials, and manuals. Covering the full learning path from basics to advanced topics, it helps you master robot development quickly.
Product Description:
ROSpider is an all-terrain ROS hexapod platform featuring a bio-mimetic structure. Its chassis integrates eighteen 35KG high-voltage bus servos, ensuring exceptional flexibility and adaptability. Powered by advanced bio-kinematic gait algorithms, it performs dynamic gait combinations and posture adjustments to navigate narrow spaces and avoid obstacles with ease.
Powered by Jetson/Raspberry Pi, ROSpider is equipped with LiDAR, a 3D depth camera, a 6-mic array, a 6DOF robot arm, and an OLED display. This hardware suite enables motion control, SLAM mapping & navigation, path planning, obstacle avoidance, 3D grasping, autonomous transport, motion sensing, voice interaction, and sound source localization.
ROSpider integrates large AI models for vision, voice, and text, empowering it to perceive its surroundings, plan actions, and execute tasks flexibly. Whether through online APIs or local deployment, the system combines data from LiDAR, camera, and microphones to unlock advanced Embodied AI tasks—including semantic understanding, emotion perception, natural voice interaction, scene understanding, target tracking, and AI-driven navigation.
① Embodied AI Applications
Empowered by high-performance hardware and multi-dimensional sensors combined with multimodal large models, ROSpider achieves next-level human-robot collaboration and intelligent task execution.
② Deploys Large AI Models
Integrating vision, voice, and text AI models, ROSpider intelligently perceives surroundings, plans actions, and executes tasks. This unlocks advanced Embodied AI applications, including emotion perception, scene understanding, target tracking, and AI-driven navigation.
③ 3D Vision & 6DOF Robot Arm
By fusing RGB and depth data in real-time, ROSpider perceives color and point cloud details accurately. Paired with inverse kinematics, it enables complex 3D tasks like arbitrary tracking, grasping, sorting, and transporting.
④ Precision LiDAR Perception
Equipped with TOF LiDAR, encoders, and IMU, ROSpider achieves precise SLAM mapping and autonomous navigation. It detects dynamic obstacles in real-time to optimize path planning, ensuring high efficiency in complex environments.
1. Creative Applications of Multimodal AI Models
1) Scene Understanding
Leveraging the large vision model, ROSpider analyzes scenes within its field of view. Based on its database, it assesses lighting conditions, object names, and attributes, providing feedback via text or voice.
2) Visual Object Tracking
Leveraging the powerful analytical capabilities of the large vision model, ROSpider automatically identifies and locks onto target objects in complex environments to execute real-time tracking.
3) Voice Control
Powered by the large speech model's semantic understanding, ROSpider accurately interprets voice commands and executes corresponding actions, delivering natural and seamless voice control.
4) Autonomous Recognition & Grasping
Leveraging the powerful analytical capabilities of the large vision model, ROSpider automatically identifies and locks onto target objects in complex environments, enabling real-time tracking and grasping.
5) Large AI Models + SLAM Navigation & Transport
ROSpider supports voice command interaction, utilizing SLAM technology to adaptively plan paths and navigate to designated areas. Combined with the large vision model, it identifies and tracks objects within its field of view in real-time, executing precise grasping and transport tasks via high-precision PID control.
2. Multi-Scenario AI Applications
Powered by inverse kinematic gait algorithms, ROSpider navigates stably through complex terrains such as rubble and narrow passages. Fusing SLAM navigation with AI visual perception and a high-precision 6DOF robot arm, it enables rapid identification, grasping, and transport of objects.
1) SLAM Mapping & Navigation
ROSpider utilizes LiDAR to scan its surroundings in real-time, constructing high-precision maps. By integrating real-time localization technology, it achieves centimeter-level autonomous navigation and path planning.
2) Narrow Passage Navigation
Thanks to its compact bio-mimetic design and agile gait adjustments, ROSpider autonomously switches gaits and body postures to effortlessly navigate narrow passages and structural gaps.
3) Bridge Crossing
ROSpider perceives its body attitude in real-time. It dynamically corrects its gait to adapt to a shifting center of gravity, ensuring a stable crossing over bridges and other unstable structures.
4) Autonomous Grasping
ROSpider perceives objects within its field of view in real-time. Through precise hand-eye coordination, it effortlessly executes high-difficulty grasping tasks, even within complex structural environments.
5) Intelligent Transport
Relying on AI vision and a multi-modal sensor system, ROSpider stably transports and precisely places objects, ensuring the safe and efficient completion of high-difficulty tasks.
6) Collapsed Terrain Traversal
When facing collapsed terrain, ROSpider utilizes advanced inverse kinematic algorithms to ensure precise foot placement, enabling efficient and stable traversal over debris.
3. LiDAR Comprehensive Detection
ROSpider features high-precision TOF LiDAR, fusing encoder and IMU data to achieve precise mapping and autonomous navigation. It detects dynamic obstacles in real-time to optimize path planning.
1 )slam_toolbox LiDAR Mapping
2) AMCL (Adaptive Monte Carlo Localization)
3) TEB Path Planning & Dynamic Obstacle Avoidance
4) rf2o_laser_odometry LiDAR Odometry
5) IMU-LiDAR Fusion &Filtering
6) DWB Local Path Planning
7) Single-Point Navigation
8) Multi-Point Navigation
9) LiDAR Following
10) LiDAR Guarding
11) LiDAR Obstacle Avoidance
12) LiDAR Point Cloud Imaging
4. 3D Depth Camera Precise Recognition
The 3D structured light depth camera generates depth maps and point cloud data to accurately acquire spatial depth information of target objects, enabling high-precision distance and volume measurements. Combined with LiDAR data, it constructs high-precision 3D color maps, supporting superior environmental perception and intelligent navigation.
1) Depth Data & Point Cloud
2) Depth Camera Distance Measurement
3) OpenCV Line Following
4) KCF Object Tracking
5) OpenCV Color Recognition
6) YOLOv26 Object Detection
7) RTAB-Map 3D Visual
8) MediaPipe Fingertip
9) MediaPipe BodyMotion Control
10) MediaPipe 3D Face Detection
11) Mapping & Navigation
12) Trajectory Recognition
5. 3D Vision 6DOF Robot Arm
ROSpider fuses RGB and depth information to perceive object colors and point cloud data in real-time. Integrating inverse kinematic algorithms, it executes advanced Al tasks such as flexible tracking grasping, sorting, and transporting within a 3D workspace.
1) 3D Spatial Grasping
2) Navigation & Transport
3) Waste Classification
4) Inverse Kinematics Coordinate Control
6. Long-Range Pickup & Sound Source Localization
Equipped with an integrated 6-microphone array, ROSpider achieves high-precision sound source localization and noise suppression. Combined with LiDAR, it allows for convenient robot summoning and supports online dialogue, creating a smooth and intelligent interaction.
1) Natural Voice Interaction
2) Intelligent Voice Navigation
3) Smart Grasping & Transport
4) 360° Sound Source Localization
7. Inverse Kinematics Gait Planning
Using inverse kinematics gait algorithms, ROSpider calculates the trajectories of 18 joints in real-time, achieving centimeter-level foot positioning and 360° omnidirectional movement. With a built-in 6-axis IMU, it autonomously perceives posture and dynamically adapts to complex terrain, ensuring balance and stability during motion.
1) Efficient Gait Switching
ROSpider features a built-in tripod and wave gaits based on inverse kinematics. Free switching between these gaits ensures superior all-terrain adaptability.
2) Flexible Omnidirectional Movement
ROSpider supports 360 omnidirectional control, allowing for translation in any direction with coordinated posture adjustments to agilely switch motion modes.
3) 3Unlimited Attitude Adjustment
ROSpider can adjust multi-dimensional parameters-including heading, pitch, and roll-during motion to adapt to diverse scenarios.
4) Dynamic Height & Balance Control
Freely switch body height and center of gravity with forward or backward tilting. Dynamic parameter adjustment enables the robot to handle versatile tasks with ease.
5) Combined Motion & Adaptive Poses
ROSpider supports synchronous adjustment of the center of gravity and multi-dimensional posture angles during motion, easily achieving high-degree-of-freedom posture planning and switching.
6) Posture Sensing & Self-Balancing
Integrated with a high-precision IMU, ROSpider detects body posture in real-time.Using closed-loop feedback, it autonomously adjusts the joint angles of its six legs to maintain balance in complex environments.
8. Inverse Kinematics & Hand-Eye Coordination
ROSpider features Hiwonder's advanced inverse kinematics algorithms. Within the reachable 3D workspace, the arm's end-effector can move to any coordinate. Python programming further enables robotic arm path planning.
1) Object Detection & Adaptive Joint Adjustment
ROSpider detects objects within the recognition area, calculating their coordinates and angle. Combined with inverse kinematics algorithms, it adaptively adjusts joint angles to achieve free grasping.
* Most market options are limited to fixed-point grasping, lacking area detection and free grasping.
2) 3D Spatial Motion Control
Utilizing inverse kinematics algorithms, ROSpider achieves linear motion and path planning in 3D space, elevating motion dimensions to a new level. This helps you understand robotic arm motion control interpolation principles and master the essence of inverse kinematics.
9. Gazebo Simulation
Built on the ROS framework, ROSpider supports Gazebo simulation. This allows for hexapod robot control and algorithm verification within a virtual environment, reducing physical testing requirements and improving experimental efficiency.
Data Visualization - Visualize the motion trajectories of the robot's end-effector and center of gravity to quickly improve and optimize algorithms.
10. Movelt2 Kinematics
ROSpider supports Movelt2 simulation, enabling robot arm control and algorithm verification in a virtual environment. This reduces dependence on physical environments and accelerates project development.
1) URDF Kinematics Simulation Model
A 1:1 realistic replica of the physical robot. The Movelt2 visual interface supports drag-and-drop control, preset positioning, and robot arm obstacle avoidance.
2) Movelt2 Simulation Control & Motion Planning
Control robot arm movements in real-time via the visual simulation interface,executing actions consistent with the model.
3) Collision Detection
Create obstacles within the simulation interface, and the robot arm will autonomously avoid them during motion.
11. Cross-Platform Interconnected Control
1) App Control
Use the apptoviewthe first-personvideofeedandcontrol ROSpider to graspandtransport specific target objects. Freely switch preset functions to quickly experience the fun of the robot!
2) Graphical PC Software Control
Control motion and execute programs in real-time via graphical PC software. The included PC software lets you choreograph ROSpider's actions without any coding skills.
3) Wireless Controller Control
Remotely control ROSpider with a PS2 wireless controller, and program the robot to execute specific feedback actions.
Packing list for ROSpider Standard Kit without ROS Controller:
1* R0Spider (without controller included)
1* 12.6V 2A charger (DC5.5*2.5)
1* Wireless controller + receiver
1* card reader
1* Red block (30*30mm)
1* Tag cards (65*65mm)
1* Waste sorting cards (40*40mm)
2* Plastic servo horn
3* 5246 servo cable (160mm)
3* 5246 servo cable (200mm)
3* PH2.0 servo cbale (200mm)
Several cable ties (3*150mm)
1* Accessory bag
1* Depth camera
1* Depth camera bracket
1* Data cable (650mm)
Product: ROSpider Intelligent Hexapod Robot
Product dimensions: Refer to the dimensions diagram above
Product weight: 3.2 KG (Ultimate Kit)
Body material: Anodized aluminum alloy structure
Body DOF: 18DOF (body)
Robot arm DOF: 6DOF (robot arm + gripper)
ROS host controller: Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5
Sub-controller: STM32F407VET6 control board
Multifunctional expansion board: Jetson multifunctional expansion board
Depth camera: Aurora930 Pro depth camera
LiDAR: STL-19P D500 LiDAR
Audio/voice pickup: WonderEcho Pro AI voice interaction box / integrated 6-microphone array
Battery: 11.1V 6000mAh 3C lithium battery
Battery life: 60 min
Operating system: Ubuntu 22.04.5 LTS + ROS2 Humble
Software: iOS/Android app + Windows PC software
Communication: Wi-Fi / Ethernet
Programming tools: Python / C / C++
Storage: 64G TF card (Jetson Nano/RPi 5); 128G SSD (Orin Nano/Orin NX)
Servo models: HX-12H, HTS-20H, and HX-35H bus servos
Control methods: App, wireless controller, PC control
Included materials: Manual, tutorials, ROS source code, system image, software
Shipping dimensions: 387 x 356 x 210 mm