Transformers for one-shot visual imitation
Humans are able to seamlessly visually imitate others, by inferring their intentions and using
past experience to achieve the same end goal. In other words, we can parse complex …
past experience to achieve the same end goal. In other words, we can parse complex …
[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 …
Watch it move: Unsupervised discovery of 3d joints for re-posing of articulated objects
Rendering articulated objects while controlling their poses is critical to applications such as
virtual reality or animation for movies. Manipulating the pose of an object, however, requires …
virtual reality or animation for movies. Manipulating the pose of an object, however, requires …
A brief survey of sim2real methods for robot learning
K Dimitropoulos, I Hatzilygeroudis… - … Conference on Robotics …, 2022 - Springer
Simulation has been crucial for robotics research development almost from the beginning of
its existence. While simulation has been widely used for education, testing, and prototyping …
its existence. While simulation has been widely used for education, testing, and prototyping …
Act the part: Learning interaction strategies for articulated object part discovery
People often use physical intuition when manipulating articulated objects, irrespective of
object semantics. Motivated by this observation, we identify an important embodied task …
object semantics. Motivated by this observation, we identify an important embodied task …
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 …
Simnet: Enabling robust unknown object manipulation from pure synthetic data via stereo
Robot manipulation of unknown objects in unstructured environments is a challenging
problem due to the variety of shapes, materials, arrangements and lighting conditions. Even …
problem due to the variety of shapes, materials, arrangements and lighting conditions. Even …
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 …
Structure from action: Learning interactions for articulated object 3d structure discovery
We introduce Structure from Action (SfA), a framework to discover 3D part geometry and joint
parameters of unseen articulated objects via a sequence of inferred interactions. Our key …
parameters of unseen articulated objects via a sequence of inferred interactions. Our key …