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Nicolás Rojas

7 accepted papers

2024

A Soft Continuum Robot With Self-Controllable Variable Curvature

RA-L 2024

This letter introduces a new type of soft continuum robot, called SCoReS, which is capable of self-controlling continuously its curvature at the segment level; in contrast to previous designs which either require external forces or machine elements, or whose variable curvature capabilities are discr

Cited by 12SourceScholar
2024

G.O.G: A Versatile Gripper-on-Gripper Design for Bimanual Cloth Manipulation With a Single Robotic Arm

RA-L 2024

The manipulation of garments poses research challenges due to their deformable nature and the extensive variability in shapes and sizes. Despite numerous attempts by researchers to address these via approaches involving robot perception and control, there has been a relatively limited interest in re

Cited by 5SourceScholar
2024

TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning With Application to Cloth Manipulation

RA-L 2024

Approaching robotic cloth manipulation using reinforcement learning based on visual feedback is appealing as robot perception and control can be learned simultaneously. However, major challenges result due to the intricate dynamics of cloth and the high dimensionality of the corresponding states, wh

Cited by 21SourceScholar
2023

The Hydra Hand: A Mode-Switching Underactuated Gripper With Precision and Power Grasping Modes

RA-L 2023

Human hands are able to grasp a wide range of object sizes, shapes, and weights, achieved via reshaping and altering their apparent grasping stiffness between compliant power and rigid precision. Achieving similar versatility in robotic hands remains a challenge, which has often been addressed by ad

Cited by 10SourceScholar
2022

EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-Fingered Robot Hands

RA-L 2022

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The UniGrasp framework, introduced recently, has the ability to gener

Cited by 24SourceScholar
2017

Model-Free Precise in-Hand Manipulation with a 3D-Printed Tactile Gripper

RA-L 2017

The use of tactile feedback for precision manipulation in robotics still lags far behind human capabilities. This study has two principal aims: 1) to demonstrate in-hand reorientation of grasped objects through active tactile manipulation; and 2) to present the development of a novel TacTip sensor a

Cited by 62SourceScholar