Robotics Perception and Control: Key Technologies and Applications
The integration of advanced sensor technologies has significantly propelled the dynamic
development of robotics, thus inaugurating a new era in automation and artificial …
development of robotics, thus inaugurating a new era in automation and artificial …
Embracing events and frames with hierarchical feature refinement network for object detection
In frame-based vision, object detection faces substantial performance degradation under
challenging conditions due to the limited sensing capability of conventional cameras. Event …
challenging conditions due to the limited sensing capability of conventional cameras. Event …
Motion robust high-speed light-weighted object detection with event camera
The event camera asynchronously produces the event stream with a high temporal
resolution, discarding redundant visual information and bringing new possibilities for moving …
resolution, discarding redundant visual information and bringing new possibilities for moving …
Review of reinforcement learning for robotic grasping: Analysis and recommendations
This review paper provides a comprehensive analysis of over 100 research papers focused
on the challenges of robotic grasping and the effectiveness of various machine learning …
on the challenges of robotic grasping and the effectiveness of various machine learning …
A geometry-enhanced 6D pose estimation network with incomplete shape recovery for industrial parts
Q Wang, D Liu, Z Liu, J Xu, H Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate and robust 6-DOF (6D) pose estimation from a single RGB image and depth map
(RGB-D) image is an essential task of intelligent manufacturing, such as robot assembly and …
(RGB-D) image is an essential task of intelligent manufacturing, such as robot assembly and …
Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding
In order to achieve higher accuracy, the complexity of grasp detection network increases
accordingly with complicated model structures and tremendous parameters. Although …
accordingly with complicated model structures and tremendous parameters. Although …
Global-local feature aggregation for event-based object detection on eventkitti
Event sequence conveys asynchronous pixel-wise visual information in a low power and
high temporal resolution manner, which enables more robust perception under challenging …
high temporal resolution manner, which enables more robust perception under challenging …
Surrounding-aware representation prediction in Birds-Eye-View using transformers
Birds-Eye-View (BEV) maps provide an accurate representation of sensory cues present in
the surroundings, including dynamic and static elements. Generating a semantic …
the surroundings, including dynamic and static elements. Generating a semantic …
Event-based driver distraction detection and action recognition
Driver distraction is one of the important factors leading to traffic accidents. With the
development of mobile infotainment and the overestimation of immature autonomous driving …
development of mobile infotainment and the overestimation of immature autonomous driving …
Focus prediction of medical microscopic images based on lightweight densely connected with squeeze-and-excitation network
H Jiang, L Ma, X Wang, J Zhang, Y Liu… - Frontiers in …, 2023 - frontiersin.org
Due to the demand for sample observation, optical microscopy has become an essential tool
in the fields of biology and medicine. In addition, it is impossible to maintain the living …
in the fields of biology and medicine. In addition, it is impossible to maintain the living …