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Overview
The Dual-Arm Lift is RealMan Robotics' dual-arm vertical lift mobile manipulator. Two 6-axis RM65-B-V arms attach to a lift column with 900 mm of effective travel; when the column is fully extended the arms work across a vertical range from 0 to 2400 mm, lateral reach is 790 mm beyond the base on one side and forward reach 0-690 mm. The body measures 640 × 450 × 1780 mm and weighs approximately 157 kg; payload per arm is 5 kg and the RM75-B-V arm is offered as an option. The RM65 series arms are built to a 610 mm working radius, 7.2 kg net weight and ±0.05 mm repeatability. Integrated vision sensors, three depth cameras and two wide-angle cameras, feed object recognition, grasping and environment monitoring; compute runs on an NVIDIA Jetson AGX Orin and the CTAG2F90D gripper performs autonomous object recognition and precision grasping. Synchronized coordination of the two arms makes it possible to grasp wide objects from both sides and to hold with one hand while working with the other. Wired teleoperation allows real-time control, recording of dual-arm task data and AI model training; RealMan runs dual-arm lift platforms for the same purpose at the Beijing humanoid robot data training center it established in 2025. The base with autonomous navigation travels at 1.5 m/s and turns with a 450 mm in-place turning radius; continuous runtime is 3-4 hours, charging uses a 220 V AC ±10% 50 Hz supply and the operating temperature range is 5 to 40 °C. On a retail floor it performs shelf scanning and inventory monitoring while navigating the aisles autonomously. RealMan was founded in Beijing in 2018, added lifting robots and dual-arm robots to its range in 2021 and has served more than 8,000 enterprise customers. The Dual-Arm Lift is designed for AI training and data collection, industrial applications, commercial and home service, research and education; it is supplied to Turkey with enterprise supply, commissioning and engineering support.
Dual-arm coordination
Two RM65-B-V arms carrying 5 kg each run synchronized bimanual tasks; the RM75-B-V arm is offered as an option.
900 mm lift, 2400 mm reach
The 900 mm effective lift travel gives 0-2400 mm vertical reach when fully extended; lateral reach 790 mm beyond the base, forward reach 0-690 mm.
Vision-equipped
Autonomous object recognition and precision grasping with integrated vision sensors and the CTAG2F90D gripper; 3 depth and 2 wide-angle cameras, NVIDIA Jetson AGX Orin.
Wired teleoperation and mobile autonomy
Real-time control, dual-arm data collection and AI model training workflows; 1.5 m/s speed, 450 mm in-place turn, 3-4 hours of continuous operation.
Dual-Arm Lift; Live Demonstration
Dual-Arm Lift: Technical Analysis
Two arms, one column, 2400 mm of reach
The Dual-Arm Lift attaches two 6-axis RM65-B-V arms to a lift column with 900 mm of effective travel; when the column is fully extended the arms work across a vertical range from 0 to 2400 mm. Lateral reach is 790 mm beyond the base on one side and forward reach 0-690 mm. Synchronized coordination of the two arms opens up work a single arm cannot do: grasping a wide box from both sides, holding with one hand while working with the other, opening a lid and taking from inside. The body measures 640 × 450 × 1780 mm and weighs approximately 157 kg; the RM75-B-V arm is offered as an option.
Vision and grasping
Integrated vision sensors, three depth cameras and two wide-angle cameras, feed object recognition, grasping and environment monitoring; compute runs on an NVIDIA Jetson AGX Orin. At the end-effector the CTAG2F90D gripper performs autonomous object recognition and precision grasping. The RM65 series arms are built to a 610 mm working radius, 7.2 kg net weight and ±0.05 mm repeatability; payload per arm is 5 kg.
Teleoperation and data collection
Wired teleoperation allows real-time control of the robot, recording of dual-arm task data and training of AI models on that data. RealMan positions the platform as part of its own data infrastructure: at the Beijing humanoid robot data training center it established in 2025, 108 robots including dual-arm lifting humanoids run tasks, and the company supplies real-robot data for training open-source embodied-AI models. A Dual-Arm Lift installed in Turkey can produce an organisation's own task-specific dataset with the same workflow.
Mobile autonomy
The base with autonomous navigation travels at 1.5 m/s and turns with a 450 mm in-place turning radius; continuous runtime is 3-4 hours, charging uses a 220 V AC ±10% 50 Hz supply and the operating temperature range is 5 to 40 °C. On a retail floor the robot performs shelf scanning and inventory monitoring while navigating the aisles autonomously; the video on this page shows that application in a store deployment.
Applications
- AI training and data collection: recording dual-arm task data through wired teleoperation and training models.
- Industrial applications: bimanual pick-and-place, line-side feeding and assembly-assist tasks.
- Retail and commercial service: shelf scanning, inventory monitoring and product handling.
- Home service: two-handed tasks at counter, cupboard and shelf heights.
- Research and education: a dual-arm mobile manipulation platform with an open development environment.
Price and sourcing
The Dual-Arm Lift is sourced for Turkey on a project basis; arm choice (RM65-B-V or RM75-B-V), gripper and teleoperation configuration, quantity and delivery terms set the corporate quotation. Import, customs clearance, commissioning and engineering support are part of delivery. Request a quotation with your task definition and data collection goal.
Dual-Arm Lift Technical Specifications
| Parameter | Value |
|---|---|
| Robot type | Vertical lift dual-arm mobile robot |
| Overall dimensions | 640 × 450 × 1780 mm |
| Weight | Approx. 157 kg |
| Arm model | 2 × RM65-B-V (6 axes); RM75-B-V optional |
| Payload per arm | 5 kg |
| Effective lift travel | 900 mm |
| Vertical reach | 0-2400 mm (fully extended) |
| Lateral reach | 790 mm beyond base (single side) |
| Forward reach | 0-690 mm |
| Travel speed | 1.5 m/s |
| Turning radius | 450 mm (in-place) |
| Vision sensors | Integrated; 3 depth cameras + 2 wide-angle cameras |
| Compute | NVIDIA Jetson AGX Orin |
| End-effector | CTAG2F90D (optional) |
| Teleoperation | Wired; real-time control, dual-arm data collection, model training |
| Battery runtime | 3-4 hours |
| Charging power supply | AC 220 V ±10%, 50 Hz |
| Operating environment | 5-40 °C |
Summary
The Dual-Arm Lift is RealMan's mobile platform that combines two RM65-B-V arms with a 900 mm lift column and an autonomous base to offer bimanual manipulation across a 0-2400 mm vertical range. Vision from three depth and two wide-angle cameras, the CTAG2F90D gripper and wired teleoperation suit it both to autonomous retail and manufacturing tasks and to embodied-AI data collection workflows; 1.5 m/s speed and 3-4 hours of runtime call for a charging window in the shift plan. Organisations evaluating it for wide objects and two-step tasks beyond a single arm should state arm preference and target tasks in the quotation request.
Details & Performance Parameters.
Physical Architecture
Dynamic Performance
Energy & Protection
Computing & Intelligence
NVIDIA Jetson AGX Orin
Integrated vision sensors: 3 depth cameras and 2 wide-angle cameras; object recognition, grasping and environment monitoring
Synchronized bimanual coordination; autonomous object recognition and precision grasping; autonomous navigation; wired teleoperation for real-time control, dual-arm data collection and AI model training workflows
Open development environment: JSON and Modbus protocols, C, C++, C# and Python SDKs, ROS and ROS 2 packages; wired teleoperation interface
Mechanical Components
Two RM65-B-V arms: 6 axes, 5 kg per arm; RM65 series 610 mm working radius, 7.2 kg, ±0.05 mm repeatability; RM75-B-V optional
900 mm effective lift travel; 0-2400 mm vertical reach when fully extended
Lateral reach 790 mm beyond the base on one side; forward reach 0-690 mm
450 mm in-place turn; 1.5 m/s; 3-4 hours of continuous operation; 220 V AC charging
Hardware & Materials
900 mm lift travel; 0-2400 mm vertical reach (fully extended); 790 mm lateral reach beyond the base (single side); 0-690 mm forward reach; RM65-B-V arms, RM75-B-V optional
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Get a Dual-Arm Lift Quote
There is no single list price; the investment depends on configuration and use case. Fill in the form and we will return with a clear, tailored quote.
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- Technical feasibility against your project requirements
- Integration scope and engineering support
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IN THE PRESS
About the RealMan Dual-Arm Lift
Dual-Arm Lift Frequently Asked Questions
The most commonly asked questions and answers about Dual-Arm Lift.
RealMan Robotics' dual-arm vertical lift mobile manipulator: two 6-axis RM65-B-V arms carrying 5 kg each on a 900 mm lift column, 0-2400 mm vertical reach when fully extended, integrated vision sensors, a CTAG2F90D gripper and autonomous navigation. The body measures 640 × 450 × 1780 mm and weighs approximately 157 kg.
Through wired teleoperation an operator drives the robot in real time; the task data of both arms is recorded and used in AI model training. RealMan runs the same workflow with dual-arm lift platforms at its humanoid robot data training center in Beijing.
The standard configuration is two RM65-B-V arms; the RM75-B-V arm is offered as an option. Arm choice is fixed in the order configuration and reflected in the corporate quotation.
With the lift column fully extended vertical reach is 0-2400 mm; lateral reach is 790 mm beyond the base on one side and forward reach 0-690 mm. Payload per arm is 5 kg.
It performs shelf scanning and inventory monitoring while navigating the aisles autonomously, and handles product recognition and grasping with its integrated vision sensors and gripper. The video on this page shows that application in a store deployment.
It is sourced on a project basis; import, customs clearance, commissioning and engineering support are part of delivery. Investment is set by corporate quotation against arm choice, gripper and teleoperation configuration, quantity and delivery terms. Send your task definition and data collection goal; the quotation follows.
