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HomeRobots

HMND 01 ALPHA Bipedal

A 1.5m/s, 29 DOF bipedal humanoid with humanlike adaptability & 15kg payload for complex brownfield environments via VLM/VLA-powered KinetIQ AI.
Made by
Humanoid
Software Type
Closed Source
Software Package
Uses proprietary VLM and VLA-based KinetIQ framwork.
Actuators
Equipped with high-torque electric actuators enabling human-level loco-manipulation speeds, low TCO and scalable humanoid fleets for autonomous and teleoperated industrial tasks.
Compiute
Powered by NVIDIA Jetson Thor.
Sensors
Equipped with 360° RGB Cameras, depth sensors, RGB cameras, 6-mic array, speakers and 6D F/T sensors.
Max Op. time
180
mins

Recent Robot Videos

*Aparobot claims no ownership of videos posted unless otherwise stated.
Description text
Date
  1. https://www.youtube.com/watch?v=44WPYlAvIK0, Meet HMND 01 Alpha Bipedal, 2025-12-02

Robot Brief

The HMND 01 ALPHA Bipedal represents a key element in Humanoid's product strategy, dedicated to creating commercially scalable and safe humanoid robots for industrial deployment. Developed by the UK-based robotics and AI firm, the robot is engineered specifically for performance and humanlike adaptability, addressing operational environments inaccessible to traditional wheeled systems. Its primary objective is to amplify human potential by introducing highly capable, autonomous agents into complex workspaces. The robot is one of the company’s first offerings, leveraging its proprietary software framework, KinetIQ, which integrates Vision-Language Models (VLM) and Vision-Language-Action (VLA) architectures to facilitate advanced reasoning and autonomous task execution.

Use Cases

Industries

  • Manufacturing:
    The robot is suitable for general factory deployment. Its high DOF and precision manipulation capabilities allow for the execution of complex tasks like quality control checks, tool handling, and detailed assembly processes within existing industrial infrastructure.
  • Inspections and Maintenance:
    The bipedal architecture makes it highly valuable for navigating areas that are difficult or hazardous for human inspectors. This includes traversing older, obstacle-ridden "complex brownfield environments" or accessing elevated areas, performing crucial infra monitoring and detailed inspections.  
  • Logistics and Warehousing:
    While the wheeled version handles high-volume transport, the bipedal unit is essential for extending automation into the periphery of logistics operations. This involves navigating stairwells, accessing non-standard shelving, or moving through constrained spaces, complementing traditional automated systems.  
  • Hospitality and Retail:
    The robot's humanlike height (179 cm) and advanced Multimodal Human Robot Interaction features  make it suitable for front-of-house roles. Use cases include providing wayfinding assistance, restocking shelves, or offering general support in large retail environments and hospitality venues.

Specifications

Length
-
mm
Width
-
mm
Height (ResT)
-
mm
Height (Stand)
-
1790
mm
Height (Min)
-
mm
Height (Max)
-
mm
Weight (With Batt.)
-
90
kg
Weight (NO Batt.)
-
kg
Max Step Height
-
mm
Max Slope
+/-
-
°
Op. Temp (min)
-
°C
Op. Temp (Max)
-
°C
Ingress Rating
-
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Intro

The HMND 01 ALPHA Bipedal is built upon a modular hardware family that shares a standardized core AI brain, an approach crucial for rapid scale and deployment across diverse industrial settings. The design philosophy centers on achieving operational readiness quickly; the ability of the prototype to walk within 48 hours of initial assembly validates this accelerated development strategy. The design prioritizes stable, reliable bipedal motion with balanced, humanlike proportions, essential for navigating and interacting safely within human workspaces.

The primary strategic objective of the Bipedal variant, in contrast to the heavier Alpha Wheeled model which targets high-throughput logistics on flat surfaces, is to handle highly complex and irregular spaces—such as older factories or maintenance areas—known as "brownfield environments". This capability extends the automation potential beyond standard optimized zones. Furthermore, the platform's initial locomotion was refined using 13,680 hours of simulation training data before the physical hardware assembly, leveraging a Reinforcement Learning (RL) approach.

The physical design centers around robustness and scale. It features a full humanoid torso and arms mounted on a heavy-duty, omnidirectional wheeled mobile base, which provides exceptional stability necessary for dynamic manipulation while moving at high speeds.  

  • Height and Mass:
    The robot stands at 220 cm, ensuring it can reach 2 meters wide, and interact with industrial shelving, control panels, and machinery designed for human operators. Its weight of 300 kg provides a highly stable platform, which is critical for maintaining precision during high-speed travel and when handling its maximum payload.  
  • End-Effectors:
    Modularity is a key feature. The robot supports interchangeable end-effectors, including a highly advanced 12-DOF 5-finger hand for intricate, delicate tasks, or a simpler, faster 1-DOF parallel gripper with a pad for robust, repetitive handling.  
  • Environmental Preparedness:
    The inclusion of interchangeable garments for protection and safety suggests that the robot is prepared for environments with potential hazards, debris, or contaminants typically found on a factory floor.

Connectivity

  • WiFi (2.4 GHz and 5 GHz)
  • Ethernet ports
  • USB ports
  • Cloud connectivity for updates and remote monitoring.

Capabilities

  • Dynamic Bipedal Locomotion:
    The robot is engineered for reliable and dynamic bipedal movement. This includes basic functions like walking in straight and curved trajectories and turning in place, but also advanced maneuvers such as sidestepping, backwards walking, squatting, squat walking, hopping, and, notably, running.  
  • Dynamic Stability (Push Recovery):
    A crucial safety and robustness feature is its ability to perform omnidirectional push recovery. This functionality, managed by a specialized Reinforcement Learning (RL)-trained Whole-Body Controller, allows the robot to maintain balance and recover posture after omnidirectional external interference, ensuring reliability in dynamic industrial settings.  
  • High-Dexterity Manipulation:
    The system features a modular end-effector design, allowing for the integration of either a highly sophisticated 12-DOF 5-finger hand or a simpler 1-DOF parallel gripper with a pad. This modularity permits rapid adaptation to tasks requiring high dexterity (e.g., tool use) or high efficiency.
  • Autonomous Task Execution:
    Utilizing its VLM/VLA intelligence (KinetIQ), the robot translates high-level instructions (visual or verbal) into practical sequences of movement and manipulation, demonstrating end-to-end reasoning and autonomous skill execution