宣称 发表于 2025-3-28 15:37:08
http://reply.papertrans.cn/47/4694/469379/469379_41.pngIschemia 发表于 2025-3-28 21:03:29
RTS-vSLAM: Real-Time Visual Semantic Tracking and Mapping Under Dynamic Environmentsrigidity assumption typical in vSLAM systems limits the widespread use of most vSLAM under dynamic environments in the real world. We propose Real-time Visual Semantic Tracking and Mapping (RTS-vSLAM), implemented based on RGB-D-based ORB-SLAM2, which uses both semantic information and geometric metfloaters 发表于 2025-3-28 23:48:46
Mobile Robot Localization Considering the Attributes of Objects to Prevent the Kidnapped Robot Probl Moving objects are one of the leading causes of environmental change, and each object has its own movability. For example, a chair has high movability because it is designed to move and often interacts with humans. However, walls or shelves have low movability because they are designed not to move,事与愿违 发表于 2025-3-29 05:09:04
http://reply.papertrans.cn/47/4694/469379/469379_44.pngconsent 发表于 2025-3-29 08:18:52
http://reply.papertrans.cn/47/4694/469379/469379_45.png竖琴 发表于 2025-3-29 11:56:44
Topometric Navigation Considering Movable Objectsusing a previously generated environmental map and perform navigation, such as localization and path planning. Conventional environment maps do not consider characteristics of objects and do not have any option to move an object to clear a path making it difficult for robots to move efficiently when龙卷风 发表于 2025-3-29 17:42:00
Harmonious Robot Navigation Strategies for Pedestriansreased. Such robots are required to move to a destination without hindering the progress of the surrounding pedestrians. Previous papers proposed collision avoidance methods based on the direction and distance of the destination of the robot, and the position and velocity of pedestrians in the vicinAmendment 发表于 2025-3-29 20:57:48
http://reply.papertrans.cn/47/4694/469379/469379_48.png伟大 发表于 2025-3-30 01:39:17
http://reply.papertrans.cn/47/4694/469379/469379_49.pngantecedence 发表于 2025-3-30 05:03:30
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