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HomeRobots

Hexplorer

A six-legged bionic robot for rugged terrain autonomous navigation, heavy payload support, and multi-scenario inspection and exploration.
Software Type
Open Source
Software Package
Uses Ubuntu 22.04, ROS2-based low-level (ROS 2 Humble Hawksbill) and high-level SDKs (Python/C++) with real-time motion and sensor APIs.
Aparobot Readiness Score
ARS?
0
...
Actuators
Equipped with proprietary electric servos.
Compiute
Onboard with x86_64 architecture (Intel Core i7/i5) CPU and GPU performance up to 40 TOPS for on-board processing.
Sensors
Equipped with LiDAR (Livox Mid360), RGB-D cameras (Realsense D435), IMU.
Max Op. time
150
mins

Recent Robot Videos

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Description text
Date

Robot Brief

The Dobot Hexplorer is a six-legged bionic robot developed by Dobot as a rugged, multi-terrain autonomous robotic platform. Engineered for real-world use, it combines bio-inspired hexapod locomotion with advanced perception, modular expansion, and quiet operation, enabling reliable navigation across uneven surfaces, stairs, slopes, and complex terrain. It is designed to support research, inspection, education, and field missions such as security patrols and exploration, with a robust frame capable of heavy payloads and integration with external sensors or tools.

Use Cases

  • Terrain Navigation & Mobility:
    Six-legged gait for stable walking over slopes, obstacles, stairs, and uneven surfaces.
  • Payload Carrying:
    Supports significant load carrying and pulling tasks in outdoor environments.
  • Autonomous Exploration:
    Uses sensor feedback for terrain adaptability and autonomous route planning.
  • Inspection & Patrol:
    Enables routine patrol tasks in industrial or public spaces with modular sensor add-ons.
  • Scientific Research Platform:
    Provides an adaptable robotics research base for gait, control, and perception studies.
  • Interactive & Guided Services:
    Can be configured for guided tours, interactive demonstrations, and public engagement.

Industries

  • Scientific Research & Robotics Education:
    Used as a platform for motion control, AI gait learning, and perception algorithms.
  • Industrial Inspection & Monitoring:
    Suitable for inspecting infrastructure, utility tunnels, and facilities with complex terrain.
  • Security & Patrol:
    Autonomous monitoring of large public venues and industrial areas.
  • Emergency Response & Exploration:
    Can assist in search, reconnaissance, and rescue missions in hazardous zones.
  • Guided Services & Tourism:
    Supports interactive tours and engagement in public attractions.

Specifications

Length
-
860
mm
Width
-
470
mm
Height (ResT)
-
420
mm
Height (Stand)
-
480
mm
Height (Min)
-
mm
Height (Max)
-
480
mm
Weight (With Batt.)
-
30
kg
Weight (NO Batt.)
-
20
kg
Max Step Height
-
200
mm
Max Slope
+/-
-
40
°
Op. Temp (min)
-
°C
Op. Temp (Max)
-
°C
Ingress Rating
-
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Intro

The Dobot Hexplorer is a bio-inspired hexapod robot engineered for high stability, adaptability, and modular use across a variety of environments. Its six-leg configuration uses a tripod gait that maintains three legs on the ground at all times, providing exceptional balance and anti-tip performance even on slippery, uneven, or narrow surfaces.

The lightweight yet strong structure supports rated payloads of 10 kg (with up to 15 kg max) and can pull loads several times its own weight. Built with advanced joint mechanisms and torque motors (peak torque 33 Nm), Hexplorer integrates an x86_64 control architecture (Intel Core i7/i5) with ROS2-compatible SDKs and real-time sensor feedback, allowing developers to customize gait, terrain sensing, and AI behaviors. Sensors include IMU and motor encoders with support for optional LiDAR/depth cameras and external modules. It offers quiet operation (≤55 dB) and IDE/SDK support for motion planning and control.

Connectivity

  • WiFi (2.4 GHz and 5 GHz)
  • Bluetooth available

Capabilities

  • Stable six-legged locomotion:
    Able to navigate travel over rough and uneven terrain.
  • Home Friendly:
    Quiet operation for human-robot environments.
  • Autonomous Navigation:
    Custom algorithm integration for navigation and terrain recognition.