The Kenqing Ant-C1-E Education Exoskeleton Robot is purpose-built for the academic and research community, providing a reliable, fully open hardware platform that empowers developers at every level to explore, experiment, and innovate in the field of exoskeleton robotics. Built on a Raspberry Pi development platform, the Ant-C1-E supports custom development, sensor expansion, and multi-modal data acquisition — making it an ideal research tool for biomechanics studies, human motion analysis, control algorithm development, and exoskeleton engineering education. Whether you’re a university professor building a curriculum around wearable robotics, a graduate student developing novel gait control algorithms, or an independent developer exploring the frontier of human-machine interaction, the Ant-C1-E provides the hardware foundation you need to turn ideas into results.
Key Features
- Raspberry Pi Development Platform – Industry-standard open platform enables seamless integration with custom software, algorithms, and third-party tools
- Custom Development Support – Fully open architecture welcomes modification and secondary development at hardware and software levels
- Sensor Expansion Support – Modular design accommodates additional sensors for expanded data acquisition and experimental flexibility
- Intelligent Perception & Autonomous Decision – Onboard intelligent perception system supports autonomous decision-making for advanced control research
- Position, Speed & Torque Control – Full tri-modal control support for comprehensive motor control research and algorithm development
- Serial Port & Bluetooth Connectivity – Flexible wired and wireless communication options for data transfer and remote control
- Comprehensive Human Motion Data Collection – Captures posture, stride frequency, stride length, acceleration, angle, and angular velocity for in-depth biomechanical analysis
- High-Precision Joint Angle Resolution – 0.002° joint angle resolution for highly accurate motion capture and control
- Dual Endurance Modes – 2.5H walking endurance and 10H data acquisition endurance to support both active testing and long-duration monitoring sessions
- 15Nm Rated Torque – Sufficient power output for meaningful walking assist experiments and gait studies
Use Cases
- University and college robotics, biomedical engineering, and mechatronics programs
- Graduate and postgraduate research in exoskeleton control, gait analysis, and human-robot interaction
- Research institutes conducting biomechanics and rehabilitation engineering studies
- Independent developers and engineering enthusiasts exploring wearable robotics
- Algorithm development: gait control, balance optimization, motion prediction
- Sensor fusion research combining IMU, EMG, pressure, and other modalities
Key Specifications
| Parameter | Specification |
|---|---|
| Weight | 3.3kg* (not including additional accessories) |
| Max Torque | 15Nm |
| Joint Angle Resolution | 0.002° |
| Acceleration Range | 16g |
| Angular Velocity Range | 2000°/s |
| Maximum Joint Angular Velocity | 700°/s |
| Max Control Frequency | 100Hz |
| Battery Capacity | 72Wh |
| Endurance – Walking | 2.5H** |
| Endurance – Data Acquisition | 10H** |
| Output Power | 5V / 1.6A |
| Development Platform | Raspberry Pi |
| Connectivity | Serial Port & Bluetooth |
| Control Modes | Position / Speed / Torque |
*Weight may vary slightly depending on configuration and accessories.
**Endurance tested under laboratory conditions; actual results may vary.
Brand Background
Shenzhen Kenqing Technology Co., Ltd. was founded in 2015 with a mission to make smart and lightweight exoskeletons that improve people’s ability to walk, carry, and lift. With 9+ years of deep R&D experience and 60+ patent applications including 6 PCTs, Kenqing’s exoskeleton solutions are in mass production and widely adopted across outdoor sports, elderly care, industrial operations, and firefighting fields globally.
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