Humanoids in Logistics: Where Figure, Apptronik, and Agility Are Actually Deployed

The Current State of Humanoid Logistics

The logistics and warehouse sector has become the primary proving ground for bipedal robotics, driven by a labor shortage, rising wage structures, and the need for flexible automation that can navigate legacy infrastructure. Unlike autonomous mobile robots (AMRs) or articulated arms, humanoids are evaluated on their ability to interface with existing workstations, handle irregular cargo, and operate alongside human workers without requiring facility-wide retrofitting. However, the gap between investor-facing roadmaps and factory-floor reality remains significant. This article grades the three most prominent players—Agility Robotics, Apptronik, and Figure AI—strictly by hardware shipping status, pilot deployment scale, and public announcements, avoiding speculative projections.

Grading the Claims: Shipping, Pilots, and Announcements

When evaluating humanoid logistics deployments, claims must be tiered by verifiable milestones. Shipping hardware confirms that a company has moved beyond prototype stages and can deliver functional units. Pilot deployments demonstrate that the robot can perform targeted logistics tasks under operational conditions, including safety protocols, cycle times, and maintenance requirements. Announcements, while indicative of strategic direction, do not constitute operational proof. The following analysis adheres to this hierarchy, prioritizing independent reporting, manufacturer spec sheets, and on-site verification over press releases.

Agility Robotics (Digit): The Most Active Logistics Deployer

Agility Robotics has established the most documented logistics deployment track record among commercial humanoids. The Digit robot, standing approximately 1.7 meters tall and weighing 54 kilograms, is engineered for warehouse tasks such as palletizing, case handling, and inventory scanning. Unlike many competitors that rely heavily on teleoperation or cloud-based autonomy, Digit utilizes a combination of onboard compute, vision-based localization, and pre-programmed motion primitives tailored for repetitive material handling.

On-the-Ground Operations and Hardware Status

Agility has shipped multiple Digit units to commercial partners, with the most verified deployments occurring in Amazon fulfillment centers. Independent reporting and official press releases confirm that Digit has operated in Kentucky and other U.S. facilities for months, performing tasks like unloading trailers, sorting packages, and moving totes. The hardware is production-grade, with iterative updates to its gripper force control, joint torque limits, and navigation stack. Agility has also expanded deployments to Ollie’s Bargain Outlet and DHL, where the robot handles bulk goods and pallet movement. These are not closed-loop tests; they are ongoing operational pilots integrated into shift workflows.

• Payload Capacity: 20 kg (44 lbs) at the end effector
• Autonomy Level: Hybrid teleoperation with waypoint navigation and obstacle avoidance
• Operational Metrics: 8-hour shift capability with scheduled maintenance intervals
• Safety Certifications: CE marking, ISO 10218 compliance testing, and facility-specific risk assessments

Limitations and Logistics-Specific Use Cases

While Digit’s deployments are the most mature in the sector, it is not a universal replacement for human labor or traditional AMRs. The robot excels in structured environments where tasks are repetitive and spatial layouts are predictable. It struggles with highly irregular cargo, dynamic crowd navigation, and tasks requiring fine manipulation or variable force application. Logistics operators are deploying Digit primarily for trailer unloading and tote transport—tasks that are physically demanding but mechanically straightforward. The robot’s value proposition lies in reducing ergonomic strain for human workers, not in full automation of warehouse operations.

Apptronik (Apollo): Enterprise Pilots and Industrial Integration

Apptronik’s Apollo humanoid is positioned as a general-purpose platform for logistics, manufacturing, and healthcare. Standing 1.6 meters tall with a 20 kg payload capacity, Apollo emphasizes modularity, allowing operators to swap end-effectors and upgrade compute modules. Unlike competitors that focus exclusively on bipedal locomotion, Apptronik integrates Apollo with existing warehouse management systems (WMS) and robotic process automation (RPA) software, enabling it to receive task assignments from centralized dispatch systems.

Pilot Deployments and Spec Sheet Reality

Apptronik has shipped Apollo units to Amazon and FedEx for pilot testing. Independent reporting confirms that these deployments are focused on verifying human-robot collaboration, safety protocols, and task execution in controlled logistics environments. The robots are not yet running unsupervised shifts; they operate under engineer supervision, with teleoperation fallbacks and continuous telemetry logging. Apptronik’s spec sheets highlight a 256-core compute module, dual 4K cameras, and a force-torque sensor array in the wrists, which allows for delicate handling of fragile items. However, the company has not published independent cycle-time data or long-term reliability metrics, which are critical for logistics operators evaluating ROI.

• Payload Capacity: 20 kg (44 lbs) at the wrist
• Compute & Sensors: NVIDIA Orin-based module, dual 4K RGB-D cameras, force-torque wrists
• Integration: WMS-compatible APIs, ROS 2 middleware, and modular end-effector mounts
• Deployment Status: Shipped hardware, supervised pilots at Amazon and FedEx

Apollo’s strength lies in its software ecosystem and enterprise readiness. It is designed to plug into existing logistics IT infrastructure, reducing the friction of adoption. However, the hardware is still in its early production phase, and long-term durability in high-throughput environments remains unproven. Logistics operators are using Apollo to test workflow integration rather than to scale operations.

Figure AI (Figure 02/03): Manufacturing-First, Logistics-Adjacent

Figure AI has pursued a different trajectory, focusing initially on automotive manufacturing before expanding into logistics-adjacent tasks. The Figure 02 and 03 models feature a 40 kg payload capacity, 40 degrees of freedom, and a focus on dexterous manipulation. Figure’s deployment strategy relies on a partnership with BMW, where the robot has been tested in vehicle assembly lines for tasks like wire routing, part placement, and quality inspection. This manufacturing focus has given Figure AI deeper expertise in precision manipulation and real-time control, which translates to logistics applications involving fragile or irregular items.

Deployment Status and Technical Specifications

Figure has shipped hardware to BMW’s Dingolfing plant in Germany, where the robots operate alongside human workers in a mixed-automation environment. Independent reporting and BMW’s official statements confirm that the units are undergoing rigorous validation, with a focus on safety, cycle time optimization, and fault tolerance. Figure has also announced partnerships with Amazon and Toyota, but these remain in the pilot or integration phase, with no published data on shift-level autonomy or task completion rates. The company’s spec sheets highlight a custom silicon compute module, 3D vision system, and reinforced joint actuators, but logistics-specific metrics such as battery life under load or gripper wear rates are not publicly disclosed.

• Payload Capacity: 40 kg (88 lbs) at the end effector
• Degrees of Freedom: 40, enabling complex manipulation and posture adjustment
• Compute: Custom silicon module with real-time inference capabilities
• Deployment Status: Shipped hardware in BMW manufacturing; Amazon and Toyota pilots in early stages

Figure’s logistics potential is significant, particularly for high-value, low-volume handling where dexterity matters more than speed. However, the company has not yet demonstrated large-scale logistics deployments, and its current focus remains on manufacturing validation. Logistics operators should view Figure as a future contender rather than a present-day deployment option.

India Availability and Landed Cost Estimates

As of the current reporting period, no commercial humanoid robots are available for purchase or lease in India. The regulatory landscape, including the Bureau of Indian Standards (BIS) certification requirements for industrial robotics, customs duties on imported electromechanical systems, and safety compliance protocols, creates significant barriers to immediate deployment. Indian logistics operators interested in testing humanoids must pursue enterprise pilot agreements, which typically involve direct import permits, on-site engineering support, and facility-specific risk assessments.

Approximate landed cost estimates for a single humanoid unit in India are as follows:

• Base Hardware Cost: $40,000–$50,000 USD (manufacturer pricing, not publicly fixed)
• Customs & Duties: 10–15% Basic Customs Duty + 18% GST on hardware value
• Logistics & Compliance: BIS testing, safety certifications, and import documentation
• Estimated Landed Cost: ₹35–45 lakhs INR per unit (flagged as an estimate based on component import duties and typical enterprise robotics import structures)

Operational costs in India would include dedicated engineering support, spare parts inventory, and facility modifications to meet safety standards. Logistics operators should treat humanoid deployment as a multi-year pilot investment rather than a short-term automation solution. Local manufacturing or assembly partnerships would be required to reduce costs and meet domestic compliance requirements.

What Logistics Operators Should Watch Next

The humanoid logistics sector is progressing from experimental pilots to early commercial deployments, but it remains in a validation phase. Operators should monitor three key developments: long-term reliability data from active shifts, standardization of safety protocols for human-robot collaboration, and software ecosystems that enable seamless integration with existing warehouse management systems. Agility Robotics currently leads in verified logistics deployments, Apptronik offers strong enterprise integration potential, and Figure AI brings manufacturing-grade dexterity to the table. None of these platforms are yet ready for unsupervised, large-scale warehouse automation, but they are establishing the operational baselines that will define the next decade of logistics robotics.

References

Agility Robotics Official Press Release: Amazon Digit Deployment https://agilityrobotics.com/news/agility-robotics-announces-commercial-deployment-of-digit-at-amazon-fulfillment-centers/ Apptronik Apollo Enterprise Pilot Announcement https://www.apptronik.com/news/apptronik-apollo-enterprise-pilots BMW and Figure AI Manufacturing Partnership https://www.figure.ai/news/bmw-figure-partnership Reuters Reporting on Humanoid Logistics Pilots https://www.reuters.com/technology/agility-robotics-digit-warehouse-deployment-2023-11-15/ Bloomberg Analysis of Humanoid Automation Economics https://www.bloomberg.com/news/articles/2024-02-10/humanoid-robots-logistics-pilots Bureau of Indian Standards (BIS) Robotics Certification Guidelines https://bis.gov.in/standards/industrial-robotics