7 accepted papers
Inspired by Segment Anything 2, which generalizes segmentation from images to videos, we propose SAM2MOT—a novel segmentation-driven paradigm for multi-object tracking that breaks away from the conventional detection-association framework. In contrast to previous approaches that treat segmentation a
Digital microfluidics (DMF) is a versatile platform that enables parallel droplet operations and on-site programmable control, where droplet routing is a critical challenge for achieving automation. To enable automatic path generation from source to target electrodes and process-level feedback corre
With the proliferation of large language models, Parameter Efficient Fine-Tuning (PEFT) method, which freeze pre-trained parameters and only fine-tune a few task-specific parameters, are playing an increasingly important role. However, previous work primarily applied uniform operations across all la…
Obstacle avoidance is a significant part of robot autonomous navigation. Compared with traditional legged and actively driven wheeled robots, the skiing robot is a nonholonomic system, which cannot precisely control the speed. This paper presents an obstacle avoidance method based on the risk region
Most of the open-domain dialogue models tend to perform insufficiently in generating informative response. The possible reason is that they lack the capability of enhancing the mutual information between generated responses and dialogue history. To address this issue, we present a novel task of the…
This letter presents SW-LIO, a tightly coupled LiDAR-inertial odometry based on the sliding window approach. The proposed methodology encompasses rapid ground segmentation and the design of an iterative error-state Kalman filter (ESKF) to effectively fuse LiDAR point clouds and IMU measurements. By
Simultaneous Localization and Mapping (SLAM) is a significant research topic in robotics since it is one of the key technologies for robot automation. Although lidar-based SLAM methods have achieved promising performance, traditional lidar SLAM methods still produce large vertical errors. To address