Robotic avatar systems can enable immersive telepresence with locomotion...
VR Facial Animation is necessary in applications requiring clear view of...
Haptic perception is incredibly important for immersive teleoperation of...
Robotic avatar systems promise to bridge distances and reduce the need f...
We present a novel approach to estimating physical properties of objects...
Object pose estimation is a key perceptual capability in robotics. We pr...
The usefulness of deep learning models in robotics is largely dependent ...
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020 pos...
Augmented Reality is a promising technique for human-machine interaction...
Robotic avatars promise immersive teleoperation with human-like manipula...
We present a method for real-time stereo scene capture and remote VR
vis...
We present SynPick, a synthetic dataset for dynamic scene understanding ...
We introduce FaDIV-Syn, a fast depth-independent view synthesis method. ...
Every day, burning buildings threaten the lives of occupants and first
r...
Autonomous robotic systems for various applications including transport,...
Constructing large structures with robots is a challenging task with man...
Training data is the key ingredient for deep learning approaches, but
di...
Correspondence estimation is one of the most widely researched and yet o...
6D object pose estimation is a prerequisite for many applications. In re...
Robotic systems often require precise scene analysis capabilities, espec...
In human-made scenarios, robots need to be able to fully operate objects...
Mobile manipulation robots have high potential to support rescue forces ...
Applications like disaster management and industrial inspection often re...
Solving mobile manipulation tasks in inaccessible and dangerous environm...
Autonomous dual-arm manipulation is an essential skill to deploy robots ...
Object pose estimation is a crucial prerequisite for robots to perform
a...
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has...
Robotic picking from cluttered bins is a demanding task, for which Amazo...
Robots that solve complex tasks in environments too dangerous for humans...
Autonomous robotic manipulation in clutter is challenging. A large varie...
Over the past few years, soccer-playing humanoid robots have advanced
si...
Over the past few years, a number of successful humanoid platforms have ...
In recent years, the introduction of affordable platforms in the KidSize...
Mobile manipulation tasks are one of the key challenges in the field of
...