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Shardul Kulkarni

3 accepted papers

2025

Focused Blind Switching Manipulation Based on Constrained and Regional Touch States of Multi-Fingered Hand Using Deep Learning

ICRA 2025

To achieve a desired grasping posture (including object position and orientation), multi-finger motions need to be conducted according to the the current touch state. Specifically, when subtle changes happen during correcting the object state, not only proprioception but also tactile information fro

Cited by 1SourceScholar
2024

Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network

RA-L 2024

Performing dexterous tasks with a multi fingered robotic hand remains challenging. Tactile sensors provide touch states and object features for multifingered tasks, yet the variety in shapes, sizes, textures, deformabilities and masses of everyday objects makes the task conditions diverse. Despite t

Cited by 5SourceScholar
2020

Development and Evaluation of a Linear Series Clutch Actuator for Vertical Joint Application with Static Balancing

IROS 2020poster

Future robots are expected to share their workspace with humans. Controlling and limiting the forces that such robots exert on their environment is crucial. While force control can be achieved actively with the help of force sensing, passive mechanisms have no time delay in their response to externa…

Cited by 2SourceScholar