7 accepted papers
Robot-assisted dressing remains challenging due to the close physical human–robot interaction and the highly deformable nature of garments. This work presents a purely vision-based approach that transfers human-mastered dressing skills to robots while accommodating dynamic human arm movements. The p…
Following the success of Group Relative Policy Optimization (GRPO) in foundation LLMs, an increasing number of works have sought to adapt GRPO to Visual Large Language Models (VLLMs) for visual perception tasks (e.g., detection and segmentation). However, much of this line of research rests on a lon
Model alignment methods like Direct Preference Optimization and Contrastive Preference Optimization have enhanced machine translation performance by leveraging preference data to enable models to reject suboptimal outputs. During preference data construction, previous approaches primarily rely on hu…
Plant point cloud completion is essential for tasks like segmentation and surface reconstruction in plant phenotyping. Unlike the relatively simpler Computer-Aided Design models found in datasets like ShapeNet, plant point clouds are characterized by their rich geometric shapes and intricate edge fe…
Multi-sensor fusion systems have been widely applied in various fields, including mobile robot, simultaneous localization and mapping (SLAM), and autonomous driving. For a tightly coupled multi-sensor fusion system, strict time synchronization between sensors will improve the accuracy of the system.…
To facilitate the research on large language models (LLMs), this paper presents a comprehensive and unified library, LLMBox, to ease the development, use, and evaluation of LLMs. This library is featured with three main merits: (1) a unified data interface that supports the flexible implementation o…
Aerial-ground vehicles have shown great potential in various fields due to their superior mobility and outstanding endurance. However, most of morphing aerial-ground vehicles consider little about controllability and traversability in ground mode. We present a novel aerial-ground vehicle called Tran…