activity
20182026
most citedBenchmarking In-Hand Manipulation

49 citations · 125 across the 28 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

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

Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation

Weihang Guo, Zachary Kingston, Kaiyu Hang +1

Multi-robot motion planning for high degree-of-freedom manipulators in shared, constrained, and narrow spaces is a complex problem and essential for many scenarios such as construc…

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.RO2024

Interactive Robot-Environment Self-Calibration via Compliant Exploratory Actions

Podshara Chanrungmaneekul, Kejia Ren, Joshua T. Grace +2

Calibrating robots into their workspaces is crucial for manipulation tasks. Existing calibration techniques often rely on sensors external to the robot (cameras, laser scanners, et…

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…

cs.RO2024

Wearable Roller Rings to Augment In-Hand Manipulation through Active Surfaces

Hayden Webb, Podshara Chanrungmaneekul, Shenli Yuan +1

In-hand manipulation is a crucial ability for reorienting and repositioning objects within grasps. The main challenges in this are not only the complexity of the computational mode…