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cs.RO2024

Collision-Inclusive Manipulation Planning for Occluded Object Grasping via Compliant Robot Motions

Kejia Ren, Gaotian Wang, Andrew S. Morgan +1

Robotic manipulation research has investigated contact-rich problems and strategies that require robots to intentionally collide with their environment, to accomplish tasks that ca…

cs.RO2024

Caging in Time: A Framework for Robust Object Manipulation under Uncertainties and Limited Robot Perception

Gaotian Wang, Kejia Ren, Andrew S. Morgan +1

Real-world object manipulation has been commonly challenged by physical uncertainties and perception limitations. Being an effective strategy, while caging configuration-based mani…

cs.RO2024

Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation

Kejia Ren, Gaotian Wang, Andrew S. Morgan +2

Nonprehensile actions such as pushing are crucial for addressing multi-object rearrangement problems. Many traditional methods generate robot-centric actions, which differ from int…

cs.RO2024

UNO Push: Unified Nonprehensile Object Pushing via Non-Parametric Estimation and Model Predictive Control

Gaotian Wang, Kejia Ren, Kaiyu Hang

Nonprehensile manipulation through precise pushing is an essential skill that has been commonly challenged by perception and physical uncertainties, such as those associated with c…

cs.CV2024

RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features

Howard H. Qian, Yangxiao Lu, Kejia Ren +4

In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other o…