Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting from Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Human tactile perception enables rapid assessment of deformable objects and the application of appropriate force to prevent slip or excessive deformation. However, this task remains challengin g for robots." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Science & Technology Commission of Shanghai Mu nicipality (STCSM), Fundamental Research Funds for the Central Universities. The news correspondents obtained a quote from the research from Tongji University, "To address this issue, we propose the T-TD3 algorithm, which utilizes a mult i-scale fusion neural network (MSF-Net) for the fused perception of multi-scale features, including the tactile prior information obtained through preprocessing . Our approach decomposes the robot task of grasping deformable objects into thr ee subtasks: slip detection, stable grasping evaluation, and minimum grasping fo rce tracking. We develop a simulation environment called CR5GraspStable-Env usin g PyBullet and TACTO for the network training. Our work reports a success rate o f 94.81% in the robot task of grasping deformable objects in real, demonstrating an excellent sim-to-real capability."
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