由《机器人技术与应用》杂志社发起，中国自动化学会机器人专业委员会，中国人工智能学会智能机器人专业委员 会、中国仪器仪表学会智能车与机器人专委会和中国工程建设焊接协会机器人及智能焊接专业委员会联合支持 的"2025智能机器人关键技术大会"将于2025年7月22-24日在齐齐哈尔市举办。 作为本届大会的重要分论坛，"具 身智能专题论坛" 将于2025年7月23日下午召开、" 康养机器人专题论坛 "将于 2025年7月24日上午召开， 今日公 布专题论坛议程。 1 2025智能机器人关键技术大会——具身智能专题论坛 时 间 ：2025年7月23日下午 地 点 ：黑龙江省齐齐哈尔市富力万达嘉华酒店 论坛聚焦具身智能核心技术创新与跨行业应用，汇聚学术界与产业界领军力量，深度探索认知导航、动态运动控制、 人机协作等前沿方向。本论坛由 专家报告 与 硕博快闪报告 两大核心环节构成，致力推动具身智能从理论突破到产 业落地的全链条发展。 ▍ 专家报告：前沿探索与产业实践 ● 岳裕丰（北京理工大学教授）：解析《具身智能认知导航技术》，突破动态环境感知与自主决策瓶颈； ● 王雷（中国煤炭科工集团煤矿机器人创新团队负责人）：阐述《矿 ...

Core Viewpoint - The first human-shaped robot fighting competition, part of the CMG World Robot Competition series, took place in Hangzhou, Zhejiang, showcasing advanced robotic combat capabilities and technology [7][18]. Group 1: Competition Overview - The competition featured four UTree G1 robots controlled by operators from different fields, with one robot wearing black protective gear emerging as the champion [7]. - The event utilized a point system over three rounds, with effective strikes to the head and torso scoring points, and penalties for being knocked down [8]. Group 2: Technical Challenges - The competition tested robots' instantaneous explosive power, requiring strong power systems for quick action responses, and highlighted the importance of control algorithms for precise movement [9][10]. - Robots faced dynamic environments that challenged their stability and control, with many robots showing signs of wear and tear from the competition [11]. Group 3: Learning and Control - The G1 robot has eight basic fighting movements and various combinations, allowing it to perform punches and kicks [14]. - Operators used voice and remote control for real-time manipulation of the robots, emphasizing human-robot collaboration [15]. Group 4: Industry Implications - The extreme testing environment of the robot fighting competition promotes continuous algorithm optimization and performance enhancement, benefiting human production and daily life [17]. - The competition signifies a new phase in robotic demonstrations, pushing companies to improve algorithms and hardware, and increasing the demand for standardized testing protocols in the industry [18].