A local–global estimator based on large kernel CNN and transformer for human pose estimation and running pose measurement
Running pose in the crowd can serve as an early warning of most abnormal events (eg,
chasing, fleeing, and robbing), which can be achieved by human behavior analysis based …
chasing, fleeing, and robbing), which can be achieved by human behavior analysis based …
Motion planning and cooperative manipulation for mobile robots with dual arms
F Sun, Y Chen, Y Wu, L Li, X Ren - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With large work space and dexterous manipulation capability, mobile robots with dual arms
can be used in complex operation scenes such as active detection, disassembly, spraying …
can be used in complex operation scenes such as active detection, disassembly, spraying …
Building metric-topological map to efficient object search for mobile robot
In this article, an effective solution is presented for efficient robotic object search by
leveraging metric-topological map. Based on the reference of objects, we construct a novel …
leveraging metric-topological map. Based on the reference of objects, we construct a novel …
Semantic grounding for long-term autonomy of mobile robots toward dynamic object search in home environments
In this article, we presents an effective semantic grounding scheme to long-term mobile
robots for dynamic object search in open/dynamic home environments. The challenge of this …
robots for dynamic object search in open/dynamic home environments. The challenge of this …
Large-scale dense mapping system based on visual-inertial odometry and densely connected U-Net
C Fan, J Hou, L Yu - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
Simultaneous localization and mapping (SLAM)-based 3-D reconstruction system mainly
relies on visual odometry, which uses detailed scanning to obtain better reconstruction …
relies on visual odometry, which uses detailed scanning to obtain better reconstruction …
6-D object pose estimation using multiscale point cloud transformer
G Zhou, D Wang, Y Yan, C Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Predicting 6-D object pose is an essential task in vision measurement for robotic
manipulation. RGB-based methods have a natural disadvantage due to the lack of 3-D …
manipulation. RGB-based methods have a natural disadvantage due to the lack of 3-D …
Cross-level multi-modal features learning with transformer for rgb-d object recognition
Object recognition, one of the main goals of robot vision, is a vital prerequisite for service
robots to perform domestic tasks. Thanks to the rich sense of information provided by RGB-D …
robots to perform domestic tasks. Thanks to the rich sense of information provided by RGB-D …
Effective safety strategy for mobile robots based on laser-visual fusion in home environments
The proven efficacy of safety strategies based on 2-D laser rangefinder (LRF) strongly
stimulates their application to mobile robots operating in the home environment. However, it …
stimulates their application to mobile robots operating in the home environment. However, it …
LeagTag: An Elongated High-Accuracy Fiducial Marker for Tight Spaces *
Fiducial markers enable reliable service robot control. In human-robot coexistence
environments, efficient placement of square or circular markers can be challenging due to …
environments, efficient placement of square or circular markers can be challenging due to …
A systematic evaluation of different indoor localization methods in robotic autonomous luggage trolley collection at airports
This article addresses the localization problem in robotic autonomous luggage trolley
collection at airports and provides a systematic evaluation of different methods to solve it …
collection at airports and provides a systematic evaluation of different methods to solve it …