6 accepted papers
Multi-chamber soft actuators have demonstrated significant potential in minimally invasive surgery, robotic manipulation, and wearable devices, due to their high flexibility. However, conventional multi-chamber soft actuators are usually fabricated from soft materials and complex molding techniques,
In the face of complex external environment, single sensor information can no longer meet the accuracy requirements of low-drift SLAM. In this paper, we focus on the fusion scheme of cameras and lidar, and explore the gain of semantic information to SLAM system. A Semantic-Enhanced Lidar-Visual Odom…
Fiber-reinforced soft actuators have great potential for the development of wearable technology. However, its complex structural design, nonlinear soft material body, fluid-driven dynamics and high manufacturing costs have brought huge challenges to system modeling, control and application. To impro
High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving. The point-based visual re-localization approaches are well-developed in recent decades, but are insufficient in some featu…
Semantic bird-eye-view (BEV) grid map is a straightforward data representation for semantic environment perception. It can be conveniently integrated with downstream tasks, such as motion planning, trajectory prediction, etc. Most existing methods of semantic BEV grid-map generation adopt supervised
Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual reality, robotics and autonomous driving. To accomplish this task, we propose an integrated visual re-localization method called RLOCS by combining image retrieval, seman…