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

Grading Humanoid Logistics Claims

The humanoid robotics sector has historically struggled with the gap between prototype demonstrations and industrial deployment. To separate operational reality from marketing narratives, this analysis grades claims strictly by three tiers: shipped hardware delivered to customer sites, active pilot deployments in controlled environments, and public announcements or concept reveals. Logistics and warehouse operations represent the most mature vertical for bipedal robots, primarily because the tasks are structured, the environments are partially controlled, and the ROI calculus is clearer than in general-purpose service roles. The three manufacturers leading this vertical—Agility Robotics, Apptronik, and Figure AI—each follow a different deployment trajectory, and their current standing reflects that divergence.

Agility Robotics: Digit at Volkswagen Chattanooga

Deployment Status and Hardware Evidence

Agility Robotics holds the strongest position in shipped hardware for logistics. The company has delivered over 100 units of its Digit robot to the Volkswagen Chattanooga assembly plant, where the units operate in a dedicated logistics loop. This deployment is not a temporary showcase; it is a multi-year operational contract covering parts delivery, tire transport, and battery logistics between production lines. Independent factory videos and Volkswagen's own operational reports confirm that Digit units navigate fixed routes, interact with automated guided vehicles (AGVs), and complete hundreds of material-handling cycles daily.

Technical Specifications and Operational Limits

Digit is engineered specifically for logistics rather than general manipulation. Manufacturer spec sheets indicate a payload capacity of 20 kilograms, a top speed of approximately 1.5 meters per second, and an operational battery life of eight hours per charge. The robot relies on a combination of LiDAR, stereo vision, and pre-mapped warehouse grids for navigation. It does not require full autonomous decision-making in unstructured spaces; instead, it operates within designated lanes and docking stations. This design philosophy aligns with industrial automation best practices: constrain the environment to guarantee reliability.

Grade and Assessment

Agility's deployment falls under shipped hardware with active production integration. The claims are backed by continuous operational data, not staged demos. However, the robot's fixed-route navigation and payload limits mean it supplements rather than replaces human logistics workers. It is a specialized material-handling unit, not a warehouse generalist.

Apptronik: Apollo at Walmart and Third-Party Logistics

Deployment Status and Hardware Evidence

Apptronik's Apollo robot has entered the logistics space through enterprise partnerships, most notably a pilot deployment at Walmart's Fulfillment Services Center in California. The partnership, announced in 2024, focuses on inventory counting, shelf monitoring, and light material transport within fulfillment workflows. Apptronik has also signed agreements with logistics providers to evaluate Apollo in sorting facilities. Independent reporting confirms that Apollo units are operating in controlled warehouse zones, but the deployment remains in the pilot phase rather than full-scale production.

Technical Specifications and Operational Limits

Prioritizing payload and endurance over pure speed, Apollo offers a 45-kilogram payload capacity and stands at approximately 1.6 meters tall. The robot's battery system supports six to eight hours of continuous operation, which is critical for logistics shifts. Its dual-arm dexterity allows it to handle boxes, scan barcodes, and interact with standard warehouse equipment. However, the robot's locomotion system is tuned for flat warehouse floors rather than uneven industrial terrain. Navigation relies on SLAM algorithms and RFID/Vision markers placed by facility managers.

Grade and Assessment

Apptronik's logistics presence is graded as pilot deployment. The hardware is shipping to enterprise customers, but the Walmart and logistics firm partnerships are in evaluation stages. Claims about full warehouse automation are premature; the current focus is proving reliability in structured picking and inventory tasks.

Figure AI: Figure 01 and Figure 02 in Manufacturing and Logistics

Deployment Status and Hardware Evidence

Figure AI has secured high-profile partnerships with BMW and Amazon, targeting both automotive assembly logistics and warehouse operations. The Figure 01 robot has been deployed at BMW's Spartanburg plant in Germany for parts delivery and assembly line support. Simultaneously, Figure is conducting warehouse pilots with Amazon, where units navigate fulfillment centers to transport components and assist with sorting tasks. Figure's public releases include on-stage demos and factory floor videos, but the scale of shipped hardware remains limited compared to Agility. Figure 02, announced in 2024, promises improved battery density and dexterity, but as of this reporting cycle, it has not entered mass production or wide-scale logistics deployment.

Technical Specifications and Operational Limits

Figure 01 carries a 20-kilogram payload and emphasizes hand dexterity over speed. Its battery life is approximately four hours, which requires mid-shift recharging in logistics environments. The robot uses a combination of vision-based localization and pre-programmed task sequences. Figure's software stack, including the Figure Agent AI, is designed to interpret natural language instructions and map them to physical actions. While this reduces programming overhead, it introduces latency and error rates in dynamic warehouse conditions that are not yet solved at scale.

Grade and Assessment

Figure's logistics presence is graded as pilot deployment transitioning to early hardware shipping. The BMW and Amazon partnerships demonstrate technical capability, but continuous logistics operation remains constrained by battery life, payload limits, and software reliability in unstructured zones. Announcements regarding Figure 02 and broader logistics scaling are categorized as announcements, not operational reality.

India Availability and Approximate Landed Pricing

None of the three manufacturers currently operate authorized distribution or service centers in India. Importing humanoid logistics robots into India requires compliance with the Bureau of Indian Standards (BIS), customs clearance under HS code 8479.50, and adherence to DGFT import policies. Enterprise buyers typically route procurement through authorized international distributors, which adds handling, certification, and logistics fees.

Approximate Landed Cost Estimates

• Agility Robotics Digit: ₹25–35 lakhs per unit (hardware, shipping, basic import duties, and initial commissioning)
• Apptronik Apollo: ₹30–40 lakhs per unit (includes enterprise licensing, battery spares, and calibration)
• Figure AI Figure 01: ₹35–45 lakhs per unit (software stack, training, and initial support package)

These figures are rough landed cost estimates for enterprise procurement and do not include facility modifications, AI integration, or ongoing maintenance. Local assembly or manufacturing remains unproven in India. Service networks require specialized robotics technicians, and spare parts lead times currently range from four to eight weeks. For Indian logistics operators, the practical path forward involves phased pilots, vendor-managed maintenance contracts, and clear ROI benchmarks before scaling.

Conclusion: The Logistics Proving Ground

Humanoid robots in logistics are no longer conceptual. Agility Robotics has shipped hardware and maintains active production integration at Volkswagen. Apptronik and Figure AI are running structured pilots at Walmart, BMW, and Amazon, with hardware shipping to enterprise partners. The grading framework confirms that shipped hardware leads, pilot deployments follow, and broad logistics automation announcements remain speculative. Battery life, payload constraints, and navigation reliability dictate that these robots will initially function as specialized material handlers rather than full warehouse replacements. India's logistics sector can access this technology through enterprise import channels, but landed costs, service infrastructure, and regulatory compliance require careful procurement planning. The vertical is advancing, but industrial maturity is measured in cycles, not conferences.