• Dobot Hexaplorer 6-legged Bionic Robot
• Agile 18-DOF hexapod platform with stable bionic tripod gait and self-recovery
• Fast & capable: up to 1.8 m/s speed and clears obstacles up to 20 cm
• Strong payload support: 10 kg rated capacity (15 kg max)
• Advanced dual compute: Intel Core i7/i5 Mini PC + Jetson Orin Nano (40 TOPS)
• Integrated perception: Livox Mid360 LiDAR and Intel RealSense D435 depth camera
• Developer-ready: ROS2 Humble with Python & C++ SDKs for high-level and joint control
• Long runtime: 504 Wh battery, up to 2.5 hours of operation, 1.5-hour charge time

Dobot Hexplorer 6-legged Bionic Robot is a professional hexapod locomotion platform developed by Shenzhen Dobot Corp Ltd, engineered for research, education, industrial inspection, and field deployment. Built around a biologically inspired six-legged architecture, it maintains a stable tripod gait that keeps three legs in contact with the ground at all times, combined with dynamic center-of-gravity control and anti-disturbance algorithms that enable autonomous self-recovery across uneven, slippery, and confined terrain. The platform supports slopes of up to 40 degrees, obstacles up to 20 cm in height, and achieves a maximum walking speed of 1.8 m/s, making it well-suited to complex real-world environments, including grassland, sand, gravel, wet surfaces, and stairs.

At the intelligence layer, Hexplorer integrates proprioceptive and exteroceptive sensing to enable real-time terrain awareness and adaptive gait adjustment without manual intervention. The onboard compute stack combines an x86 motion control PC with an ARM-based AI accelerator delivering 40 TOPS of GPU performance, supporting perception pipelines, autonomous navigation, obstacle avoidance, human detection, and target following. The platform ships with Ubuntu 22.04 and ROS2 Humble pre-configured, alongside a comprehensive SDK covering both high-level motion commands and low-level joint control in Python and C++, with simulation environments, debugging tools, and interface examples included. Its modular expansion rail supports future integration of collaborative robotic arms, remote video transmission, and wireless auto-charging, making it a flexible foundation for interdisciplinary robotics development across research institutions, universities, and commercial operators.

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Model Features

A high-strength frame, precision joint actuation, and an integrated sensor suite make the Hexplorer a capable platform for demanding real-world deployments.

Six-Leg
Structure →

Six-Leg
Structure

18 Degrees of Freedom

Legs: 6 independently actuated limbs

DoF per leg: 3 joints (hip, knee, foot)

Knee torque: 33 Nm peak

Body tilt range: ±38°

Gait: Stable tripod, 3 legs grounded at all times

Sensor
Suite →

Sensor
Suite

LiDAR: Livox Mid360

Depth camera: Intel RealSense D435 (RGB-D)

IMU: High-precision, onboard

Camera angle: 80° from horizontal plane

Power &
Mobility →

Power &
Mobility

Battery: 504 Wh lithium

Runtime: 2.5 hours

Max speed: 1.8 m/s

Max slope: 40°

Max obstacle: 20 cm

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Capabilities

The Hexplorer combines onboard AI, multi-modal perception, and an open software stack to enable advanced autonomous behaviors out of the box, while remaining fully extensible for custom development.

Autonomous Navigation

The Hexplorer supports fully autonomous navigation using fused LiDAR and depth camera data for real-time mapping and path planning. Onboard obstacle detection and avoidance algorithms allow the robot to traverse complex environments without operator input.

ROS2 Development Platform

Ubuntu 22.04 and ROS2 Humble come pre-installed with a full node topology for motion control, sensor data, and system monitoring. Developers can extend the platform using the provided Python and C++ SDKs, CMake build system, and example programs.

Human Detection & Tracking

The Hexplorer supports human detection and target following using its depth camera and AI compute stack. These capabilities enable interactive and service-oriented deployments such as guided tours, monitoring, and human-alongside operation.

Modular Expansion

Onboard expansion interfaces include USB Type-C, Ethernet, HDMI, and 19V power outputs, enabling integration of external sensors, computing boxes, and peripherals. Future-ready support for collaborative robotic arms, wireless charging, and long-range video transmission is built into the platform architecture.

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Use Cases & Application Scenarios

From laboratory research to live field operations, the Hexplorer adapts to a wide range of professional contexts where terrain variability, payload capacity, and software openness are critical requirements.

Industrial Inspection & Security Patrol

The Hexplorer can be deployed for automated patrol and monitoring across airports, industrial parks, substations, and underground utility corridors. Its terrain adaptability and payload capacity allow it to carry inspection instruments and operate continuously over extended shifts with minimal human oversight.

Scientific Research & Education

As an open robotics research platform, the Hexplorer provides a multidisciplinary testbed integrating mechanical design, AI, computer vision, and control systems. Universities and research institutions can build on the ROS2 SDK to develop and validate custom locomotion algorithms, perception pipelines, and autonomous behaviors.

Exploration & Rescue Operations

The Hexplorer’s compact form factor and multi-terrain mobility make it well-suited for reconnaissance and search-and-rescue missions in environments inaccessible to wheeled platforms. Researchers and first responders can leverage its sensor suite and modular expansion to carry specialized instruments into disaster or hazardous sites.

Guided Tours & Interactive Services

Equipped with a speaker and human-detection capabilities, the Hexplorer can be deployed in museums, science centers, and public venues to provide interactive guided experiences. Customizable movement routines and voice output enable engaging visitor interactions that combine entertainment with practical demonstration of robotics technology.