AGIBOT

At 169cm, the A2 Ultra is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.

Weighing 69kg, the A2 Ultra is a substantial machine. This weight provides stability during physical tasks and manipulation but means it requires careful consideration for floor loading and may need dedicated charging infrastructure. Industrial-weight robots typically offer higher payload capacity and more robust construction.

The A2 Ultra offers Standing: 3h, Walking: 1.5h+ of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The A2 Ultra requires 2 hours to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The A2 Ultra can move at up to 1.2 m/s (4.3 km/h). Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The A2 Ultra runs on NVIDIA Jetson Orin 64G + 16-core CPU for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

With a height of 131cm, the X2 is designed to operate at a mid-range level — suitable for navigating under tables, around furniture, and through standard doorways without issue. This compact-but-capable size balances visibility with maneuverability.

At 35kg (X2) / 39kg (X2 Ultra), the X2 balances portability with stability. This weight range is heavy enough for stable operation during tasks but light enough for an adult to reposition if needed. It indicates a robust construction with quality motors and structural components.

The X2 offers ~2 hours at 0.5 m/s walking of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The X2 requires ~1.5 hours to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The X2 can move at up to 1.8 m/s (6.5 km/h). Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The X2 runs on RK3588 dual compute + NVIDIA Orin NX 157 TOPS (Ultra) for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

At 173cm, the Expedition A3 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.

Weighing 55kg, the Expedition A3 is a substantial machine. This weight provides stability during physical tasks and manipulation but means it requires careful consideration for floor loading and may need dedicated charging infrastructure. Industrial-weight robots typically offer higher payload capacity and more robust construction.

The Expedition A3 offers Up to 10 hours (dual 1,152 Wh hot-swappable battery system) of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The Expedition A3 requires 10-second hot-swap battery replacement; charging time not specified to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The Expedition A3 can move at up to 7 km/h. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The Expedition A3 runs on WorkGPT multimodal interaction stack, LinkCraft motion creation, AimRT framework for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

At just 42cm (standing), 14.5cm (prone) tall, the D1 Pro has a compact form factor that allows it to navigate under furniture, access tight spaces, and maintain a low profile during operation. Compact robots are particularly effective for cleaning, surveillance, and utility tasks.

At 15.5kg (including battery), the D1 Pro balances portability with stability. This weight range is heavy enough for stable operation during tasks but light enough for an adult to reposition if needed. It indicates a robust construction with quality motors and structural components.

The D1 Pro offers 1–2 hours per charge of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For quadruped robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The D1 Pro requires ≤2 hours to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The D1 Pro can move at up to 3.5 m/s (12.6 km/h). Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For quadruped robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The D1 Pro runs on 8-core high-performance CPU for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

The G2 stands Not officially disclosed, a size that affects how the robot interacts with its environment, what tasks it can reach, and how easily it fits into existing spaces.

The G2 weighs Not officially disclosed. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

The G2 offers 24/7 operation via dual hot-swappable batteries of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The G2 requires Autonomous charging supported to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The G2 can move at up to Not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The G2 runs on NVIDIA Jetson Thor as the core domain controller for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

The D2 Max stands Not officially disclosed, a size that affects how the robot interacts with its environment, what tasks it can reach, and how easily it fits into existing spaces.

The D2 Max weighs Not officially disclosed. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

The D2 Max offers Not officially disclosed of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For quadruped robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The D2 Max requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The D2 Max can move at up to Not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For quadruped robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The D2 Max runs on AGIBOT describes the D2 Max as AGI-driven with Level 3 autonomous operation; detailed compute hardware and model stack have not been officially disclosed. for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

The G2 Air stands Not officially disclosed, a size that affects how the robot interacts with its environment, what tasks it can reach, and how easily it fits into existing spaces.

The G2 Air weighs Not officially disclosed. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

The G2 Air offers Not officially disclosed of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For commercial robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The G2 Air requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The G2 Air can move at up to ≥1.5 m/s. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For commercial robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The G2 Air runs on Specific onboard compute has not been officially disclosed; AGIBOT positions G2 Air within its embodied-AI deployment stack for task execution and real-time data collection. for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

The G1 stands Not officially disclosed (working height over 2 m), a size that affects how the robot interacts with its environment, what tasks it can reach, and how easily it fits into existing spaces.

The G1 weighs Not officially disclosed. Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.

The G1 offers Not officially disclosed of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The G1 requires Not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The G1 can move at up to Not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The G1 runs on Designed for embodied-AI data collection and model-inference workflows; official copy describes end-cloud collaborative data collection with automated validation and manual review, but does not disclose onboard compute hardware. for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.

At 169cm, the A2 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.

Weighing 69kg, the A2 is a substantial machine. This weight provides stability during physical tasks and manipulation but means it requires careful consideration for floor loading and may need dedicated charging infrastructure. Industrial-weight robots typically offer higher payload capacity and more robust construction.

The A2 offers 2 hours (700 Wh swappable battery) of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.

The A2 requires Charging supported via standby station; exact charging time not officially disclosed to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.

The A2 can move at up to Not officially disclosed. Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.

The A2 runs on LLM/RAG full-duplex interaction stack with edge deployment, facial recognition, lip-reading, ActionGPT motion generation, HIMUS 3D-SLAM, VectorFlux planning/control, and RTMOF motion control. for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.