Rescue robots are expected to carry out reconnaissance and dexterity operations in unknown environments comprising unstructured obstacles. Although a wide variety of designs and implementations have been presented within the field of rescue robotics, embedding all mobility, dexterity, and reconnaissance capabilities in a single robot remains a challenging problem. This paper explains the design and implementation of Karo, a mobile robot that exhibits a high degree of mobility at the side of maintaining required dexterity and exploration capabilities for urban search and rescue (USAR) missions. We first elicit the system requirements of a standard rescue robot from the frameworks of Rescue Robot League (RRL) of RoboCup and then, propose the conceptual design of Karo by drafting a locomotion and manipulation system. Considering that, this work presents comprehensive design processes along with detail mechanical design of the robot's platform and its 7-DOF manipulator. Further, we present the design and implementation of the command and control system by discussing the robot's power system, sensors, and hardware systems. In conjunction with this, we elucidate the way that Karo's software system and human-robot interface are implemented and employed. Furthermore, we undertake extensive evaluations of Karo's field performance to investigate whether the principal objective of this work has been satisfied. We demonstrate that Karo has effectively accomplished assigned standardized rescue operations by evaluating all aspects of its capabilities in both RRL's test suites and training suites of a fire department. Finally, the comprehensiveness of Karo's capabilities has been verified by drawing quantitative comparisons between Karo's performance and other leading robots participating in RRL.
Cellular-enabled Collaborative Robots Planning and Operations for Search-and-Rescue Scenarios
i2CAT Foundation（i2CAT基金会）；NEC Laboratories Europe GmbH（欧洲NEC实验室）；Polytechnic University of Catalonia, UPC（加泰罗尼亚理工大学（UPC））；Institut Català de Recerca i Estudis Avançats, ICREA（加泰罗尼亚高级研究所（ICREA））
A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing
The Hong Kong Polytechnic University（香港理工大学）；Hong Kong Center for Construction Robotics（香港建造机器人中心）；Research Centre of Unmanned Autonomous Systems（无人自主系统研究中心）；Department of Aeronautical and Aviation Engineering（航空及民航工程系）；Department of Mechanical Engineering（机械工程系）
A general locomotion control framework for multi-legged locomotors
Georgia Institute of Technology（佐治亚理工学院）；Emory University（埃默里大学）；National University of Singapore（新加坡国立大学）；Carnegie Mellon University（卡内基梅隆大学）；Morehouse College（莫尔豪斯学院）；Pennsylvania State University（宾夕法尼亚州立大学）；Rancho Research Institute（兰乔研究所）；Royal Veterinary College（皇家兽医学院）；University of Oviedo（奥维耶多大学）
PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot
School of Electrical, Computer and Energy Engineering, Arizona State University（亚利桑那州立大学电气、计算机与能源工程学院）；School for Engineering of Matter, Transport and Energy, Arizona State University（亚利桑那州立大学物质、运输与能源工程学院）
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks
Real-Time and Embedded Computing Systems Research Centre (CISTER)（实时与嵌入式计算系统研究中心（CISTER））；Faculdade de Engenharia da Universidade do Porto（葡萄牙波尔图大学工程学院）；School of Computer Science, McGill University（麦吉尔大学计算机科学学院）；Knight Foundation School of Computing and Information Sciences, Florida International University（国际大学计算与信息科学学院（Knight基金会））
Wukong-Omni: Design, Modeling and Control of a Multi-mode Robot for Air, Land, and Underwater Exploration with All-in-One Propulsion Unit
School of Automation, Guandong University of Technology（广东技术大学自动化学院）；School of Electromechanical Engineering, Guangdong University of Technology（广东技术大学机电工程学院）；Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology（香港科技大学电子与计算机工程系）
