Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructur
Robotic manipulation of textiles is a very hard task that is receiving lot of attention from the vis...
Advances in computer vision and robotic manipulation are enabling assisted dressing.Peer ReviewedPos...
We have seen much recent progress in rigid object manipulation, but in- teraction with deformable ob...
Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura::9.5 - Augmentar...
Robotic cloth manipulation is a relevant challenging problem for autonomous robotic systems. Highly ...
Robotic cloth manipulation is challenging due to the many degrees of freedom and properties of the c...
Recent advances in Deep Reinforcement learning and computational capabilities of GPUs have led to va...
Trabajo presentado en la IEEE International Conference on Robotics and Automation (ICRA), conferenci...
Endowing robots with dexterous manipulation skills could spur economic welfare, create leisure time ...
Using reinforcement learning has enabled robots to learn how to accomplish a wide range of tasks wit...
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Deformable objects such as ropes, wires, and clothing are omnipresent in society and industry but ar...
Robots can learn how to complete a variety of tasks without explicit instructions thanks to reinforc...
For a robot manipulator, an accurate reference tracking capability is one of the most important perf...
The manipulation of cloth-like deformable objects represents a challenging problem. Clothes are char...
Robotic manipulation of textiles is a very hard task that is receiving lot of attention from the vis...
Advances in computer vision and robotic manipulation are enabling assisted dressing.Peer ReviewedPos...
We have seen much recent progress in rigid object manipulation, but in- teraction with deformable ob...
Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura::9.5 - Augmentar...
Robotic cloth manipulation is a relevant challenging problem for autonomous robotic systems. Highly ...
Robotic cloth manipulation is challenging due to the many degrees of freedom and properties of the c...
Recent advances in Deep Reinforcement learning and computational capabilities of GPUs have led to va...
Trabajo presentado en la IEEE International Conference on Robotics and Automation (ICRA), conferenci...
Endowing robots with dexterous manipulation skills could spur economic welfare, create leisure time ...
Using reinforcement learning has enabled robots to learn how to accomplish a wide range of tasks wit...
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Deformable objects such as ropes, wires, and clothing are omnipresent in society and industry but ar...
Robots can learn how to complete a variety of tasks without explicit instructions thanks to reinforc...
For a robot manipulator, an accurate reference tracking capability is one of the most important perf...
The manipulation of cloth-like deformable objects represents a challenging problem. Clothes are char...
Robotic manipulation of textiles is a very hard task that is receiving lot of attention from the vis...
Advances in computer vision and robotic manipulation are enabling assisted dressing.Peer ReviewedPos...
We have seen much recent progress in rigid object manipulation, but in- teraction with deformable ob...