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Digit

Digit by Agility Robotics is a 175 cm, 93 kg bipedal humanoid for warehouse logistics with 16 kg payload, 3 kWh battery, Arc fleet management, and 100K+ totes moved at GXO Logistics.
Software Type
Closed Source
Software Package
Agility Arc, proprietary cloud-based fleet automation and management platform integrating with WMS, WES, and MES; provides real-time monitoring, task orchestration, and workflow management. Reinforcement learning locomotion and manipulation training. Safety compliance software certified to ANSI B11.0, ISO 12100, ISO 13849, ANSI B11.19, ISO 10218, and ANSI/RIA R15.08.
Aparobot Readiness Score
ARS?
0
...
Actuators
Custom high-performance actuators optimized for bipedal locomotion and manipulation electric motors with advanced torque and speed control.
Compiute
Two Intel i7 multi-thread CPUs, payload bay for customer-added computer such as Intel NUC or Nvidia Jetson for additional perception or machine learning capabilities.
Sensors
4x Intel RealSense depth cameras, 3D LiDAR, MEMS IMU, joint encoders, proximity sensors, force sensors.
Max Op. time
240
mins

Recent Robot Videos

*Aparobot claims no ownership of videos posted unless otherwise stated.
Description text
Date
  1. https://www.youtube.com/watch?v=6x28vlbfA-k, Innovation at Agility: Running, 2026-05-11
  2. https://www.youtube.com/watch?v=Pc-n6ACIuSU, Innovation at Agility: Dancing Behind the Scenes, 2026-03-31
  3. https://www.youtube.com/watch?v=AJpTpUqjgrY, Digit's First Day of Work at GXO, 2024-10-02
  4. https://www.youtube.com/watch?v=epB3EUtOxA8, Deployment Update: AMR Loading and Unloading, 2024-04-19
  5. https://www.youtube.com/watch?v=6HHdpQNN4Xg, What Can Digit Do? Automated and Manual Putwall Systems, 2024-04-09
  6. https://www.youtube.com/watch?v=JVQaQ3RjcgM, [Timelapse] 26 Hours of Humanoid Robots Working Autonomously, 2024-03-26

Robot Brief

Digit is a bipedal humanoid robot developed by Agility Robotics, Inc. and first commercially deployed in 2023 as the company's flagship platform for warehouse logistics and material handling automation. Designed to operate in human-scale environments without facility modification, Digit stands 1,750 mm tall and weighs 93 kg, featuring a distinctive reverse-knee leg architecture that provides stable, agile bipedal locomotion across stairs, curbs, inclines, and uneven terrain. With a payload capacity of 16 kg, four-DoF arms, a vertical reach of 0 to 1,670 mm, exchangeable end-effectors, and a 3.0 kWh battery providing up to 4 hours of runtime with autonomous docking for recharging, Digit is operated through the Agility Arc cloud-based fleet management platform and integrates directly with Warehouse Management Systems (WMS), Warehouse Execution Systems (WES), and Autonomous Mobile Robots (AMRs). It achieved a milestone of 100,000 totes moved at GXO Logistics by the end of 2025 and holds the distinction of being the first humanoid robot to generate sustained revenue from paying commercial customers.

Use Cases

  • Tote and Box Handling:
    Picks up, moves, and places totes, boxes, and packages weighing up to 16 kg (35.3 lbs) across warehouse and distribution centre environments, executing structured pick-and-place, stacking, and sorting workflows alongside existing AMR infrastructure.
  • Autonomous Bipedal Navigation in Human Environments:
    Traverses stairs, steps on and off curbs, climbs inclines, and navigates unstructured terrain including grass and gravel, accessing locations within human-scale facilities that wheeled robots cannot reach.
  • Autonomous Docking and Recharging:
    Independently identifies when battery charge is low, navigates to its docking station, and initiates recharging autonomously, completing a full charge in approximately 2 hours and supporting multi-shift operation with scheduled charge cycles.
  • AMR Coordination and Workflow Integration:
    Coordinates directly with Autonomous Mobile Robots through the Arc platform, dispatching them to retrieve or deliver materials in support of Digit's manipulation tasks, extending the effective logistics chain beyond single-robot capability.
  • Safety-Compliant Human Co-Working:
    Detects people and obstacles in real time using its 360-degree sensor field, pausing and routing around them autonomously in compliance with ANSI and ISO safety standards, enabling deployment in occupied facilities without safety cages or barriers.
  • Modular End Effector Task Adaptation:
    Supports changeable end-effectors for different task types, enabling a single Digit unit to be reconfigured for different material handling workflows without hardware replacement of the core robot.

Industries

  • Warehousing and Distribution:
    The primary commercial deployment environment. Digit automates tote retrieval, sortation, package palletising, and material flow tasks in distribution centres, addressing chronic labour shortages and high worker turnover rates in this sector.
  • Manufacturing:
    Supports material movement, line feeding, and logistics functions in production facilities, operating alongside human workers in shared floor environments for repetitive or physically demanding transport tasks.
  • Third-Party Logistics (3PL):
    Deployed by 3PL operators including GXO Logistics for flexible capacity augmentation during peak periods, with the RaaS model reducing upfront capital commitment.

Specifications

Length
-
370
mm
Width
-
660
mm
Height (ResT)
-
mm
Height (Stand)
-
1750
mm
Height (Min)
-
mm
Height (Max)
-
1750
mm
Weight (With Batt.)
-
93
kg
Weight (NO Batt.)
-
78
kg
Max Step Height
-
mm
Max Slope
+/-
-
°
Op. Temp (min)
-
0
°C
Op. Temp (Max)
-
35
°C
Ingress Rating
-
No items found.

Intro

Digit stands 1,750 mm tall, measures 660 mm in width and 370 mm in depth when standing, and weighs 93 kg including its 15.4 kg battery. Its reverse-knee leg architecture, inspired by bipedal animal locomotion, provides dynamic balance and efficient energy transfer during walking, with a minimum turn radius of 600 mm enabling precise repositioning in narrow warehouse aisles. The arms each provide four degrees of freedom, with a vertical reach of 0 to 1,670 mm covering the full range required for standard shelf and conveyor interactions in logistics environments. End-effectors are modular and changeable, with the base configuration designed for tote and box handling at payloads up to 16 kg (35.3 lbs). Locomotion and balance control combines traditional control systems with reinforcement learning-trained policies developed in NVIDIA Isaac Lab, with the total body DoF not individually published by Agility Robotics beyond the confirmed arm configuration.

Digit's compute platform consists of two Intel i7 multi-thread CPUs managing real-time control, navigation, and perception tasks, with a modular payload bay at the rear panel providing an expansion slot for customer-specified additional compute such as an Intel NUC or NVIDIA Jetson module. The sensor suite includes a 3D LiDAR with a range of 100 m and a 360-degree horizontal field of view for environment mapping and long-range obstacle detection, alongside four Intel RealSense depth cameras with a 6 m range, a MEMS IMU, joint encoders, proximity sensors, and force sensors. Safety systems are fully industrial-grade and certified to ANSI B11.0, ISO 12100, ISO 13849, ANSI B11.19, ISO 10218, and ANSI/RIA R15.08 standards, and include a Category 1 stop, safety PLC, workcell integration, on-robot e-stop, wireless emergency stop, and FSoE communication. The robot is also FCC Part 15B and 15C compliant, and its laser system is Class 1 eye-safe rated.

The 3.0 kWh lithium-ion battery (51.1 V nominal, 59 Ah) provides up to 4 hours of runtime at 30°C ambient temperature and charges in approximately 2 hours via the dedicated charging dock, which accepts 208/240 VAC 25A single-phase input and outputs 48 VDC at 30A. The dock connects via Ethernet and is compliant with NFPA79 and UL508A standards. Digit operates at ambient temperatures of 0°C to 35°C and is deployable across existing warehouse and manufacturing facilities without structural modification. Fleet deployment, workflow management, and WMS/WES/MES integration are managed through Agility Arc, with OTA updates continuously expanding the robot's skill library.

Connectivity

  • WiFi connectivity (2.4 GHz and 5 GHz)
  • 700 MHz radio connection to Entry Monitoring System (EMS) for fleet status monitoring
  • Functional Safety over EtherCAT (FSoE): Safety-critical communication protocol for industrial safety system integration
  • Charging Dock Connectivity: Ethernet (dock to fleet management system); 208/240 VAC 25A input; 48 VDC 30A output

Capabilities

  • Reverse-Knee Bipedal Locomotion with 360-Degree Sensing:
    The reverse-knee leg architecture provides stable walking at up to 1.2 m/s with a 600 mm minimum turn radius, while the 360-degree horizontal LiDAR field of view at 100 m range ensures comprehensive environmental coverage during movement.
  • Agility Arc Cloud Fleet Management:
    Connects Digit to existing WMS, WES, and MES infrastructure via a cloud-native platform enabling rapid deployment, real-time fleet monitoring, task orchestration, and OTA software updates across entire Digit fleets.
  • Multi-Standard Industrial Safety Certification:
    Certified to seven ANSI and ISO safety standards covering machinery safety, safety-related control systems, robotics safety requirements, and industrial mobile robot safety requirements, enabling deployment in OSHA-regulated shared human-robot environments.
  • Autonomous Fall Recovery:
    Digit can independently stand up after a fall without human intervention, a safety-critical capability for unsupervised warehouse operation during overnight or unmanned shifts.
  • 3.0 kWh Hot-Dock Recharging:
    The 59 Ah, 51.1 V lithium-ion battery provides up to 4 hours of operation and recharges in approximately 2 hours via the dedicated dock, which maintains a 700 MHz radio connection to the Entry Monitoring System (EMS) for continuous fleet status reporting.
  • Modular Compute Payload Bay:
    The rear panel payload bay accepts standard customer compute modules including Intel NUC and NVIDIA Jetson, enabling custom perception, specialised AI inference, or additional sensor integration without modifying the base robot platform.