9 citations · 29 across the 6 of their papers we have counts for
8 papers
A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance
Mingrui Yu, Kangchen Lv, Changhao Wang +2
Manipulating deformable linear objects (DLOs) to achieve desired shapes in constrained environments with obstacles is a meaningful but challenging task. Global planning is necessar…
Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models
Mingrui Yu, Hanzhong Zhong, Xiang Li
The shape control of deformable linear objects (DLOs) is challenging, since it is difficult to obtain the deformation models. Previous studies often approximate the models in purel…
ARROCH: Augmented Reality for Robots Collaborating with a Human
Kishan Chandan, Vidisha Kudalkar, Xiang Li +1
Human-robot collaboration frequently requires extensive communication, e.g., using natural language and gestures. Augmented reality (AR) has provided an alternative way of bridging…
Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models
Mingrui Yu, Hanzhong Zhong, Fangxun Zhong +1
The deformable linear objects (DLOs) are common in both industrial and domestic applications, such as wires, cables, ropes. Because of its highly deformable nature, it is difficult…
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu, Andrea Cherubini, Claire Dune +10
Deformable object manipulation (DOM) is an emerging research problem in robotics. The ability to manipulate deformable objects endows robots with higher autonomy and promises new a…
Negotiation-based Human-Robot Collaboration via Augmented Reality
Kishan Chandan, Vidisha Kudalkar, Xiang Li +1
Effective human-robot collaboration (HRC) requires extensive communication among the human and robot teammates, because their actions can potentially produce conflicts, synergies,…