3 accepted papers
In ex-situ object rearrangement tasks within open environments, robots face significant challenges due to the increased cost of moving objects over large workspaces. To address this issue, we propose a hierarchical reinforcement learning-based approach that takes into account the supportive relation…
This letter concentrates on the challenging task of language-conditioned grasping detection in clutter, where the grasping postures of objects should be generated for robots according to complicated human instructions. Existing methods typically employ well-trained object detectors and leverage lang
Despite its remarkable performance, RGB-based Multi-human Pose Estimation (MPE) technology has many practical limitations, such as nighttime and smoggy environments. Infrared imaging is a valid substitution in these scenarios but needs an efficient and fast method for MPE. This letter aims to design