published

Multi-Modality Driven Impedance-Based Sim2Real Transfer Learning for Robotic Multiple Peg-in-Hole Assembly

A consensus rat functional MRI acquisition protocol tested across multiple research centers

Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance

Currently, task-oriented grasp detection approaches are mostly based on pixel-level affordance detection and semantic segmentation. These pixel-level approaches heavily rely on the accuracy of a 2D affordance mask, and the generated grasp candidates …

Improving Object Grasp Performance via Transformer-Based Sparse Shape Completion

Currently, robotic grasping methods based on sparse partial point clouds have attained excellent grasping performance on various objects. However, they often generate wrong grasping candidates due to the lack of geometric information on the object. …

A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor

With the advanced development of image processing technology, visible light positioning (VLP) system based on image sensors has attracted more and more attention. However, as a commonly used light receiver, traditional CMOS camera has limited …

A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

Although great progress has been made in generic object detection by advanced deep learning techniques, detecting small objects from images is still a difficult and challenging problem in the field of computer vision due to the limited size, less …

Development of a skeletal mechanism for Fischer–Tropsch surrogate based on decoupling method and particle swarm optimization

As an alternative fuel, Fischer–Tropsch (FT) fuel in the future engine has received significant attentions due to its characteristics of high efficiency. Arrhenius parameters of certain reactions from FT fuel are tuned by particle swarm optimization …