Challenges and outlook in robotic manipulation of deformable objects
Deformable object manipulation (DOM) is an emerging research problem in robotics. The
ability to manipulate deformable objects endows robots with higher autonomy and promises …
ability to manipulate deformable objects endows robots with higher autonomy and promises …
Global model learning for large deformation control of elastic deformable linear objects: An efficient and adaptive approach
The robotic manipulation of deformable linear objects (DLOs) has broad application
prospects in many fields. However, a key issue is to obtain the exact deformation models (ie …
prospects in many fields. However, a key issue is to obtain the exact deformation models (ie …
Offline-online learning of deformation model for cable manipulation with graph neural networks
Manipulating deformable linear objects by robots has a wide range of applications, eg,
manufacturing and medical surgery. To complete such tasks, an accurate dynamics model …
manufacturing and medical surgery. To complete such tasks, an accurate dynamics model …
Model-based control with sparse neural dynamics
Z Liu, G Zhou, J He, T Marcucci… - Advances in Neural …, 2024 - proceedings.neurips.cc
Learning predictive models from observations using deep neural networks (DNNs) is a
promising new approach to many real-world planning and control problems. However …
promising new approach to many real-world planning and control problems. However …
Planning with spatial-temporal abstraction from point clouds for deformable object manipulation
Effective planning of long-horizon deformable object manipulation requires suitable
abstractions at both the spatial and temporal levels. Previous methods typically either focus …
abstractions at both the spatial and temporal levels. Previous methods typically either focus …
DiffVL: scaling up soft body manipulation using vision-language driven differentiable physics
Combining gradient-based trajectory optimization with differentiable physics simulation is an
efficient technique for solving soft-body manipulation problems. Using a well-crafted …
efficient technique for solving soft-body manipulation problems. Using a well-crafted …
Dynamic-resolution model learning for object pile manipulation
Dynamics models learned from visual observations have shown to be effective in various
robotic manipulation tasks. One of the key questions for learning such dynamics models is …
robotic manipulation tasks. One of the key questions for learning such dynamics models is …
A mixed-reality tele-operation method for high-level control of a legged-manipulator robot
In recent years, legged (quadruped) robots have been subject of technological study and
continuous development. These robots have a leading role in applications that require high …
continuous development. These robots have a leading role in applications that require high …
Action-conditional implicit visual dynamics for deformable object manipulation
Manipulating volumetric deformable objects in the real world, like plush toys and pizza
dough, brings substantial challenges due to infinite shape variations, non-rigid motions, and …
dough, brings substantial challenges due to infinite shape variations, non-rigid motions, and …
A Survey on Robotic Manipulation of Deformable Objects: Recent Advances, Open Challenges and New Frontiers
Deformable object manipulation (DOM) for robots has a wide range of applications in
various fields such as industrial, service and health care sectors. However, compared to …
various fields such as industrial, service and health care sectors. However, compared to …