1.School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China; 2.School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
Abstract: With the rapid development of smart logistics,intelligent logistics robots have become critical
equipment for enhancing operational efficiency.However,challenges such as poor environmental adaptability,
low grasping reliability,and high energy consumption persist.This paper presents the design of an intelligent
logistics robot system based on multimodal perception and adaptive grasping. The hardware integrates
multimodal sensors,including grayscale sensors,laser rangefinders,pressure sensors,and a machine vision
module,significantly optimizing the spatial layout.For motion control,a PID algorithm enables high-precision
path tracking and autonomous obstacle navigation in confined spaces.For grasping operations,a three-state
finite-state machine( FSM) for grasping,combining laser ranging and pressure sensing,implements a weight-
adaptive algorithm to ensure safe,efficient,and nondestructive clamping.Experimental results in a simulated
logistics environment demonstrate the system's robust stability,high recognition accuracy,and reliable grasping
success rate,thereby improving the robot' s operational stability,reliability,and adaptability to various
scenarios,which is of positive significance for advancing logistics automation.
秦健豪 , 李荣炜 , 石龙逸 , 刘奕涵 , 王泽莹 . 基于多模感知与自适应抓取的智能物流机器人系统设计#br#[J]. 大学物理实验, 2026, 39(3): 91-99.
QIN Jianhao , LI Rongwei , SHI Longyi , LIU Yihan , WANG Zeying . Design of an Intelligent Logistics Robot System Based on Multimodal Perception and Adaptive Grasping#br#. Physical Experiment of College, 2026, 39(3): 91-99.