Developing capable robots requires more than designing stronger hardware or larger AI models. Researchers also need a practical way to transfer natural human movements to robotic systems and collect high-quality demonstration data for imitation learning, embodied AI, and Vision-Language-Action model development.

To support these workflows, Foxtech Robotics is introducing the ExoArm-7 Pro Wearable Exoskeleton, a lightweight dual-arm motion-capture and teleoperation system designed for robotics research, human demonstration data collection, and VLA dataset creation.

Combining 14-degree-of-freedom arm tracking, high-precision encoder feedback, high-speed sampling, dual-IMU sensing, cross-platform software, and an official SDK, ExoArm-7 Pro gives research teams a more direct way to capture human upper-limb motion and map it to robotic platforms.