Physical embodiment is a required component for robots that are structurally coupled with their real-world environments. However, most socially interactive robots do not need to …
X Lin, Y Wang, J Olkin, D Held - Conference on Robot …, 2021 - proceedings.mlr.press
Manipulating deformable objects has long been a challenge in robotics due to its high dimensional state representation and complex dynamics. Recent success in deep …
Rearranging and manipulating deformable objects such as cables, fabrics, and bags is a long-standing challenge in robotic manipulation. The complex dynamics and high …
We present a survey of recent work on robot manipulation and sensing of deformable objects, a field with relevant applications in diverse industries such as medicine (eg surgical …
H Ha, S Song - Conference on Robot Learning, 2022 - proceedings.mlr.press
High-velocity dynamic actions (eg, fling or throw) play a crucial role in our everyday interaction with deformable objects by improving our efficiency and effectively expanding our …
S Kumra, S Joshi, F Sahin - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
In this paper, we present a modular robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the …
J Matas, S James, AJ Davison - Conference on Robot …, 2018 - proceedings.mlr.press
We have seen much recent progress in rigid object manipulation, but interaction with deformable objects has notably lagged behind. Due to the large configuration space of …
S Kumra, C Kanan - … on Intelligent Robots and Systems (IROS), 2017 - ieeexplore.ieee.org
Deep learning has significantly advanced computer vision and natural language processing. While there have been some successes in robotics using deep learning, it has not been …
We would like robots to achieve purposeful manipulation by placing any instance from a category of objects into a desired set of goal states. Existing manipulation pipelines typically …