[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 …
[HTML][HTML] Generating images with physics-based rendering for an industrial object detection task: Realism versus domain randomization
Limited training data is one of the biggest challenges in the industrial application of deep
learning. Generating synthetic training images is a promising solution in computer vision; …
learning. Generating synthetic training images is a promising solution in computer vision; …
Single-view robot pose and joint angle estimation via render & compare
We introduce RoboPose, a method to estimate the joint angles and the 6D camera-to-robot
pose of a known articulated robot from a single RGB image. This is an important problem to …
pose of a known articulated robot from a single RGB image. This is an important problem to …
Markerless camera-to-robot pose estimation via self-supervised sim-to-real transfer
Solving the camera-to-robot pose is a fundamental requirement for vision-based robot
control, and is a process that takes considerable effort and cares to make accurate …
control, and is a process that takes considerable effort and cares to make accurate …
replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine
Deep learning-based computer vision methods are transforming animal behavioural
research. Transfer learning has enabled work in non-model species, but still requires hand …
research. Transfer learning has enabled work in non-model species, but still requires hand …
Image-based pose estimation and shape reconstruction for robot manipulators and soft, continuum robots via differentiable rendering
State estimation from measured data is crucial for robotic applications as autonomous
systems rely on sensors to capture the motion and localize in the 3D world. Among sensors …
systems rely on sensors to capture the motion and localize in the 3D world. Among sensors …
Real-time holistic robot pose estimation with unknown states
Estimating robot pose from RGB images is a crucial problem in computer vision and
robotics. While previous methods have achieved promising performance, most of them …
robotics. While previous methods have achieved promising performance, most of them …
Pose estimation for robot manipulators via keypoint optimization and sim-to-real transfer
Keypoint detection is an essential building block for many robotic applications like motion
capture and pose estimation. Historically, keypoints are detected using uniquely engineered …
capture and pose estimation. Historically, keypoints are detected using uniquely engineered …
Nothing but geometric constraints: A model-free method for articulated object pose estimation
We propose an unsupervised vision-based system to estimate the joint configurations of the
robot arm from a sequence of RGB or RGB-D images without knowing the model a priori …
robot arm from a sequence of RGB or RGB-D images without knowing the model a priori …