the National Natural Science Foundation of China(No.62173230);the Program of Science and Technology Commission of Shanghai Municipality(No.22511101400)。
Robot grasp detection is a fundamental vision task for robots.Deep learning-based methods have shown excellent results in enhancing the grasp detection capabilities for model-free objects in unstructured scenes.Most p...
Grasping is one of the most fundamental operations in modern robotics applications.While deep rein-forcement learning(DRL)has demonstrated strong potential in robotics,there is too much emphasis on maximizing the cumu...
supported by the National Natural Science Foundation of China(62372077,61976124);supported by the Fundamental Research Funds for the National Key R&D Project from the Minister of Science and Technology(2021YFA1201604).
In intricate aquatic environments, enhancing the sensory performance of underwater actuators to ensure successful task execution is a significant challenge. To address this, a biomimetic tactile multimodal sensing app...
supported in part by National Natural Science Foundation of China(Grant Nos.62388101,62303010);University Synergy Innovation Program of Anhui Province(Grant No.GXXT-2023-039);Anhui Provincial Key Research Program of Universities(Grant No.2022AH050087)。
Robotic grasping presents significant challenges due to variations in object properties,environmental complexities,and the demand for real-time operation.This study proposes the MetaCoorNet(MCN),which is a novel deep ...
The Central Economic Work Conference was held in Beijing on December 11 and 12,2024.At the meeting,President Xi Jinping delivered an important speech in which he reviewed economic work for 2024,analyzed the current ec...
Beijing Municipal Natural Science Foundation,Grant/Award Number:4212933;National Natural Science Foundation of China,Grant/Award Number:61873008;National Key R&D Plan,Grant/Award Number:2018YFB1307004。
The positional information of objects is crucial to enable robots to perform grasping and pushing manipulations in clutter.To effectively perform grasping and pushing manipu-lations,robots need to perceive the positio...
supported by Natural Science Foundation of Zhejiang Province (Grant No.LQ22A020003);National Natural Science Foundation of China (Grant No.52075499)for which all authors are grateful.
Soft pneumatic robotic grippers have found extensive applica-tions across various engineering domains,which prompts active research due to their splendid compliance,high flex-ibility,and safe human-robot interaction o...
supported by the Natural Science Foundation of Jiangsu Province of China(Grant No.BK20220649);the Natural Science Foundation of the Jiangsu Higher Education Institutions(Grant No.23KJB460010);the Key R&D Program of Jiangsu Province(Grant No.BE2022062);Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.SJCX23_2143).
Research of capture mechanisms with strong capture adaptability and stable grasp is important to solve the problem of launch and recovery of torpedo-shaped autonomous underwater vehicles(AUVs).A multi-loop coupling ca...
It is the key part of the Chinese modernization to realize the modernization of China’s system and capacity for governance.In Writing a New Chapter in the Practice of China’s Constitution in the New Era:Commemoratin...
a phased result of the major special project of philosophy and social science research of the Ministry of Education entitled Research on the Basic Theory and Core Essentials of Xi Jinping Thought on the Rule of Law(2022JZDZ001)
Upholding constitution-based governance and constitution-based exercise of state power is the essence of Xi Jinping Thought on the Rule of Law, the top priority of comprehensively advancing law-based governance, devel...