This paper addresses the problem of safe and efficient navigation in remotely controlled robots operating in hazardous and unstructured environments; or conducting other remote robotic tasks. A shared control method is presented which blends the commands from a VFH+ obstacle avoidance navigation module with the teleoperation commands provided by an operator via a joypad. The presented approach offers several advantages such as flexibility allowing for a straightforward adaptation of the controller's behaviour and easy integration with variable autonomy systems; as well as the ability to cope with dynamic environments. The advantages of the presented controller are demonstrated by an experimental evaluation in a disaster response scenario. More specifically, presented evidence show a clear performance increase in terms of safety and task completion time compared to a pure teleoperation approach, as well as an ability to cope with previously unobserved obstacles.
SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
Artificial Intelligence in Robotics Laboratory (AiR Lab)（人工智能机器人实验室（AiR实验室））；Department of Electrical and Computer Engineering（电气与计算机工程系）；EIVA a/s（EIVA公司）；Automatic Control Group (RAT)（自动控制组（RAT））；Department of Electrical Engineering and Information Technology（电气工程与信息科技系）
Knowledge-Distilled End-to-End Reinforcement Learning for Smooth 6-DOF Thrust Control and Rapid Adaptation to Ocean Currents in Remotely Operated Vehicles
Northwestern Polytechnical University（西北工业大学）；Wuhan Second Ship Design and Research Institute（武汉第二船舶设计研究院）
TritonZ: A Remotely Operated Underwater Rover with Manipulator Arm for Exploration and Rescue Operations
Department of Computer Science and Engineering, United International University（计算机科学与工程系，国际联合大学）；Department of Computer Science and Engineering, BRAC University（计算机科学与工程系，BRAC大学）
Levels of Automation for a Mobile Robot Teleoperated by a Caregiver
Department of Industrial Engineering and Management Ben-Gurion University of the Negev（内盖夫本古里安大学工业工程与管理系）；Center for Applied Autonomous Sensor Systems (AASS) Örebro University（厄勒布鲁大学应用自主传感器系统中心 (AASS)）
A Navigation System for ROV's inspection on Fish Net Cage
ZJU-Hangzhou Global Scientific and Technological Innovation Center（浙江大学杭州国际科技创新中心）；College of Biosystems Engineering and Food Science, Zhejiang University（浙江大学生物系统工程与食品科学学院）；Department of Biological and Agricultural Engineering, University of California, Davis（加州大学戴维斯分校生物与农业工程系）
Digital Twins Below the Surface: Enhancing Underwater Teleoperation
School of Engineering and Physical Sciences, Heriot-Watt University（赫瑞瓦特大学工程与物理科学学院）；School of Mathematics and Computer Sciences, Heriot-Watt University（赫瑞瓦特大学数学与计算机科学学院）
