10 accepted papers
Accurate and robust simultaneous localization and mapping (SLAM) is crucial for autonomous mobile systems, typically achieved by leveraging the geometric features of the environment. Incorporating semantics provides a richer scene representation that not only enhances localization accuracy in SLAM b
While millimeter-wave radars are widely used in robotics and autonomous driving, extrinsic calibration with other sensors remains challenging due to the sparsity and uncertainty of radar point clouds. In this paper, we propose a novel deep feature-matching-based online extrinsic calibration approach
Magnetic helical microrobots have attracted considerable attraction in microscale targeted delivery due to their high propulsion efficiency and movement flexibility. However, for biomedical applications in unstructured and multibranched liquid environments, the capabilities of high swimming performa
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estimates the 6-DoF pose to correct odometry drift. Current method
Open-world Instance Segmentation (OIS) is a challenging task that aims to accurately segment every object instance appearing in the current observation, regardless of whether these instances have been labeled in the training set. This is important for safety-critical applications such as robust auto…
Fast and accurate path planning is important for ground robots to achieve safe and efficient autonomous navigation in unstructured outdoor environments. However, most existing methods exploiting either 2D or 2.5D maps struggle to balance the efficiency and safety for ground robots navigating in such…
Identifying moving objects is a crucial capability for autonomous navigation, consistent map generation, and future trajectory prediction of objects. In this paper, we propose a novel network that addresses the challenge of segmenting moving objects in 3D LiDAR scans. Our approach not only predicts…
With the rapid development of multi-robot systems (MRSs), they can be widely used to perform various tasks in typical environments. However, the inevitable disadvantages of onboard sensor errors, communication delays, and underspecified environmental factors seriously affect the operation of MRSs. T
Currently, distributed multi-robot systems (MRSs) can meet the requirements of various tasks in complex environments. Nevertheless, the inevitable disadvantages of robot sensor errors, communication delays, and obstructive environmental factors hinder the operation of MRSs. Therefore, a shared contr
The research on rare cells makes a significant contribution to biology research and medical treatment for the application of diagnostic operation as well as prognoses treatment. Therefore, sorting them from heterogeneous mixtures is crucial and valuable. Traditional cell sorting methods featured wit…