In this paper, we present a simultaneous exploration and object search
f...
Weakly supervised methods, such as class activation maps (CAM) based, ha...
Medical image analysis using deep learning is often challenged by limite...
Multi-robot path planning is a computational process involving finding p...
Robot teleoperation gains great success in various situations, including...
Due to its non-invasive and painless characteristics, wireless capsule
e...
Robotic ultrasound (US) systems have shown great potential to make US
ex...
This paper proposes a new approach to achieve direct visual servoing (DV...
Cooperative object transportation using multiple robots has been intensi...
Autonomous fabric manipulation is a challenging task due to complex dyna...
This article addresses the localization problem in robotic autonomous lu...
This paper presents a closed-loop magnetic manipulation framework for ro...
To facilitate recent advances in robotics and AI for delicate collaborat...
This paper introduces a quadrotor's autonomous take-off and landing syst...
Reorienting objects using extrinsic supporting items on the working plat...
Balancing the trade-off between safety and efficiency is of significant
...
Adaptively Informed Trees (AIT*) develops the problem-specific heuristic...
Motion Planning is necessary for robots to complete different tasks.
Rap...
Recently Koopman operator has become a promising data-driven tool to
fac...
Sampling-based path planning algorithms usually implement uniform sampli...
A novel palpation-based incision detection strategy in the laryngeal reg...
Ultrasound (US) imaging is commonly used to assist in the diagnosis and
...
In recent years, simultaneous magnetic actuation and localization (SMAL)...
The sampling-based motion planning algorithms can solve the motion plann...
With the rapid development of machine learning, autonomous driving has b...
In this paper, we present a novel path planning algorithm to achieve fas...
Autonomous mobile manipulation robots that can collect trolleys are wide...
In recent years, the growing demand for more intelligent service robots ...
Abdominal ultrasound imaging has been widely used to assist in the diagn...
Non-prehensile multi-object rearrangement is a robotic task of planning
...
Recently reinforcement learning (RL) has emerged as a promising approach...
Currently used wireless capsule endoscopy (WCE) is limited in terms of
i...
Simultaneous Magnetic Actuation and Localization (SMAL) is a promising
t...
Active wireless capsule endoscopy (WCE) based on simultaneous magnetic
a...
Colonoscopy is a standard imaging tool for visualizing the entire
gastro...
The amount of medical images for training deep classification models is
...
Being able to explore unknown environments is a requirement for fully
au...
This paper presents a fundamental algorithm, called VDB-EDT, for Euclide...
Interactions with either environments or expert policies during training...
Human activities are hugely restricted by COVID-19, recently. Robots tha...
Autonomous ultrasound (US) acquisition is an important yet challenging t...
Sampling-based path planning is a popular methodology for robot path
pla...
Robot path planning is difficult to solve due to the contradiction betwe...
Path planning plays an important role in autonomous robot systems. Effec...
This paper presents a search-based partial motion planner to generate
dy...
Online state-time trajectory planning in highly dynamic environments rem...
Inertial Measurement Unit (IMU) has long been a dream for stable and rel...
The environment that the robot operating in is becoming more and more
co...
Elevator button recognition is considered an indispensable function for
...
Unmanned Aerial Vehicles (UAVs) have been implemented for environmental
...