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[HTML][HTML] Towards commissioning, resilience and added value of Augmented Reality in robotics: Overcoming technical obstacles to industrial applicability
Augmented Reality (AR) has the potential for facilitating the interaction with robots by
enhancing the operator's spatial understanding as well as providing further cognitive …
enhancing the operator's spatial understanding as well as providing further cognitive …
Camera-to-robot pose estimation from a single image
We present an approach for estimating the pose of an external camera with respect to a
robot using a single RGB image of the robot. The image is processed by a deep neural …
robot using a single RGB image of the robot. The image is processed by a deep neural …
Robotic tool tracking under partially visible kinematic chain: A unified approach
Anytime a robot manipulator is controlled via visual feedback, the transformation between
the robot and camera frame must be known. However, in the case where cameras can only …
the robot and camera frame must be known. However, in the case where cameras can only …
G-SAM: a robust one-shot keypoint detection framework for PNP based robot pose estimation
Robot pose estimation plays a fundamental role in various applications involving service
and industrial robots. Among the methods used for robot pose estimation from a single …
and industrial robots. Among the methods used for robot pose estimation from a single …
Learning markerless robot-depth camera calibration and end-effector pose estimation
Traditional approaches to extrinsic calibration use fiducial markers and learning-based
approaches rely heavily on simulation data. In this work, we present a learning-based …
approaches rely heavily on simulation data. In this work, we present a learning-based …
Keypoints method for recognition of ship wake components in Sentinel-2 images by deep learning
The wakes generated by moving vessels represent relevant patterns in remotely sensed
images. They are a marker of ship presence and can be processed to infer route, speed …
images. They are a marker of ship presence and can be processed to infer route, speed …
Robust surgical tool tracking with pixel-based probabilities for projected geometric primitives
Controlling robotic manipulators via visual feedback requires a known coordinate frame
transformation between the robot and the camera. Uncertainties in mechanical systems as …
transformation between the robot and the camera. Uncertainties in mechanical systems as …
Optimizing keypoint-based single-shot camera-to-robot pose estimation through shape segmentation
We introduce an optimization method for recent approaches on keypoint-based pose
estimation of robotic manipulators utilizing monocular images. The method takes into …
estimation of robotic manipulators utilizing monocular images. The method takes into …
Submillimeter-Accurate Markerless Hand–Eye Calibration Based on a Robot's Flange Features
An accurate and reliable estimation of the transformation matrix between an optical sensor
and a robot is a key aspect of the hand–eye system calibration process in vision-guided …
and a robot is a key aspect of the hand–eye system calibration process in vision-guided …
A deep learning-based hand-eye calibration approach using a single reference point on a robot manipulator
We present a hand-eye calibration approach based on a deep learning-based regression
architecture to find the transformation between the robot end-effector and an external …
architecture to find the transformation between the robot end-effector and an external …