This invention discloses a
robot summoning and following
system and method based on visual
edge computing, belonging to the fields of
edge computing and embodied
intelligent robots. The
system uses an RK3588S as the
edge computing platform and an STM32 as the
motion controller, employing a
USB camera for
visual perception to construct a localized
closed loop of "detection-tracking-decision-execution". A lightweight YOLOv8-
Pose improved LSCD detection head is used, and INT8
operation mode is employed for
inference acceleration. Summoning and stopping posture interaction commands are realized through multi-frame determination of the angle between key points of the upper limbs, enabling autonomous selection and switching of the following target. Based on the ByteTrack
algorithm, HSV-LBP features of the
rigid body region of the
torso are integrated to improve the robustness of re-identification in
occlusion and target loss scenarios. A multi-threaded parallel architecture is adopted to decouple
inference and post-
processing, significantly improving hardware
resource utilization and
system real-time performance. Standardized
serial port protocol communication supports coordinated switching between vision and
LiDAR, and the PID
algorithm is optimized to achieve smooth
robot following. This invention requires no cloud or external
positioning equipment, exhibits low latency response, stable tracking, and
natural interaction in complex dynamic scenarios, and can be widely applied in industry, military, and service sectors.