Image servo is an indispensable technique in robotic applications that h...
A novel mechanism to derive self-entanglement-free (SEF) path for tether...
Visual localization plays a critical role in the functionality of low-co...
Traditional geometric registration based estimation methods only exploit...
This paper investigates the advantages of using Bird's Eye View (BEV)
re...
Piecewise constant curvature is a popular kinematics framework for conti...
This paper introduces a learning-based framework for robot adaptive
mani...
Acquiring driving policies that can transfer to unseen environments is
c...
Recently, several works achieve end-to-end visual servoing (VS) for robo...
LiDAR Mapping has been a long-standing problem in robotics. Recent progr...
We focus on the task of language-conditioned object placement, in which ...
Generating photorealistic images with controllable camera pose and scene...
3D object detection serves as the core basis of the perception tasks in
...
Self-assessment rules play an essential role in safe and effective real-...
We focus on the task of language-conditioned grasping in clutter, in whi...
Knowledge about the own pose is key for all mobile robot applications. T...
The fusion scheme is crucial to the multi-sensor fusion method that is t...
To deal with the degeneration caused by the incomplete constraints of si...
Detecting both known and unknown objects is a fundamental skill for robo...
LiDAR based place recognition is popular for loop closure detection and
...
Global localization plays a critical role in many robot applications.
Li...
With the rise of computing power, using data-driven approaches for
co-de...
The main contribution of this paper is the proof of the convexity of the...
An efficient algorithm to solve the k shortest non-homotopic path planni...
In recent years, Visual-Inertial Odometry (VIO) has achieved many signif...
Current RGB-based 6D object pose estimation methods have achieved notice...
Pose registration is critical in vision and robotics. This paper focuses...
This paper proposes a learning-based visual peg-in-hole that enables tra...
Drift-free localization is essential for autonomous vehicles. In this pa...
LiDAR-based global localization is a fundamental problem for mobile robo...
In the peg insertion task, human pays attention to the seam between the ...
This paper studies category-level object pose estimation based on a sing...
Accurate LiDAR-camera extrinsic calibration is a precondition for many
m...
Depth completion is a fundamental task in computer vision and robotics
r...
Global point cloud registration is an essential module for localization,...
Electric vehicles are an emerging means of transportation with environme...
Monocular visual-inertial odometry (VIO) is a critical problem in roboti...
Current monocular-based 6D object pose estimation methods generally achi...
We focus on the task of object manipulation to an arbitrary goal pose, i...
One of the challenges in vision-based driving trajectory generation is
d...
The automatic road roller, as a popular type of construction robot, has
...
The ability to autonomously navigate in unknown environments is importan...
Safety is of great importance in multi-robot navigation problems. In thi...
Target following in dynamic pedestrian environments is an important task...
We present a heterogeneous localization framework for solving radar glob...
Global localization is essential for robots to perform further tasks lik...
Motion retargeting from human to robot remains a very challenging task d...
In-flight objects capture is extremely challenging. The robot is require...
We focus on the task of goal-oriented grasping, in which a robot is supp...
Recent studies on deep-learning-based small defection segmentation appro...