Offline evolutionary-based methodologies have supplied a successful moti...
Agile maneuvers are essential for robot-enabled complex tasks such as
su...
Deformable object manipulation (DOM) with point clouds has great potenti...
Localization in a pre-built map is a basic technique for robot autonomou...
Recent advancements toward perception and decision-making of flexible
en...
Task automation of surgical robot has the potentials to improve surgical...
In this paper, we propose a novel variable-length estimation approach fo...
Estimating precise metric depth and scene reconstruction from monocular
...
Most existing methods for category-level pose estimation rely on object ...
In this paper, we present a novel and generic data-driven method to
serv...
This paper presents an optimal motion planning framework to generate
ver...
Shape control of deformable objects is a challenging and important robot...
In this paper, we propose an iterative self-training framework for
sim-t...
Automatic laparoscope motion control is fundamentally important for surg...
Industrial bin picking is a challenging task that requires accurate and
...
The COVID-19 pandemic has imposed serious challenges in multiple perspec...
In this work, we study the problem of how to leverage instructional vide...
Autonomous surgical execution relieves tedious routines and surgeon's
fa...
Surgical instrument segmentation in robot-assisted surgery (RAS) - espec...
Laparoscopic Field of View (FOV) control is one of the most fundamental ...
Automatic surgical gesture recognition is fundamentally important to ena...
This paper proposes a novel pretext task to address the self-supervised ...
This paper addresses the problem of self-supervised video representation...
Surgical knot tying is one of the most fundamental and important procedu...
This paper addresses the problem of controlling a continuum manipulator ...
Thanks to the rapid development of CNNs and depth sensors, great progres...
In the industrial domain, the pose estimation of multiple texture-less s...
Self-driving industry vehicle plays a key role in the industry automatio...
In this paper, we focus on the problem of task allocation, cooperative p...
Large demand for robotics and automation has been reflected in the sandi...
In this paper, we develop a new deep neural network which can extract
di...