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Sarthak Pathak

5 accepted papers

2024

Visual Feedback Control of an Underactuated Hand for Grasping Brittle and Soft Foods

ICRA 2024poster

This paper presents a novel method to control an underactuated hand by using only a monocular camera, not using any internal sensors. In food factories, robots are required to handle a wide variety of foods without damaging them. To accomplish this, the use of underactuated hands is effective becaus…

Cited by 0SourceScholar
2023

Vision-Based In-Hand Manipulation of Variously Shaped Objects via Contact Point Prediction

IROS 2023poster

In-hand manipulation (IHM) is an important ability for robotic hands. This ability refers to changing the position and orientation of a grasped object without dropping it from the hand workspace. One major challenge of IHM is to achieve a large range of manipulation (especially rotation), regardless…

Cited by 3SourceScholar
2019

E-CNN: Accurate Spherical Camera Rotation Estimation via Uniformization of Distorted Optical Flow Fields

ICASSP 2019accepted

Spherical cameras, which can acquire all-round information, are effective to estimate rotation for robotic applications. Recently, Convolutional Neural Networks have shown great robustness in solving such regression problems. However they are designed for planar images and cannot deal with the non-u…

Cited by 0SourceScholar
2018

Line-Based Global Localization of a Spherical Camera in Manhattan Worlds

ICRA 2018poster

Localization is an important task for mobile service robots in indoor spaces. In this research, we propose a novel technique for indoor localization using a spherical camera. Spherical cameras can obtain a complete view of the surroundings allowing the use of global environmental information. We tak…

Cited by 22SourceScholar
2017

Spatio-Temporal Video Completion in Spherical Image Sequences

RA-L 2017

Spherical cameras are widely used due to their full 360$^\circ$ fields of view. However, a common but severe problem is that anything carrying the camera is always included in the view, occluding visual information. In this letter, we propose a novel method to remove such occlusions in videos taken

Cited by 9SourceScholar