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20172022
most citedDistB-Condo: Distributed Blockchain-based IoT-SDN Model for Smart Condominium

64 citations · 116 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.RO2019

Robot-to-Robot Relative Pose Estimation using Humans as Markers

Md Jahidul Islam, Jiawei Mo, Junaed Sattar

In this paper, we propose a method to determine the 3D relative pose of pairs of communicating robots by using human pose-based key-points as correspondences. We adopt a 'leader-fo…

cs.RO2018

Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection

Md Jahidul Islam, Michael Fulton, Junaed Sattar

This paper explores the design and development of a class of robust diver-following algorithms for autonomous underwater robots. By considering the operational challenges for under…

cs.RO2018

Understanding Human Motion and Gestures for Underwater Human-Robot Collaboration

Md Jahidul Islam

In this paper, we present a number of robust methodologies for an underwater robot to visually detect, follow, and interact with a diver for collaborative task execution. We design…

cs.RO2018

Robotic Detection of Marine Litter Using Deep Visual Detection Models

Michael Fulton, Jungseok Hong, Md Jahidul Islam +1

Trash deposits in aquatic environments have a destructive effect on marine ecosystems and pose a long-term economic and environmental threat. Autonomous underwater vehicles (AUVs)…

cs.RO2018

Person Following by Autonomous Robots: A Categorical Overview

Md Jahidul Islam, Jungseok Hong, Junaed Sattar

A wide range of human-robot collaborative applications in diverse domains such as manufacturing, health care, the entertainment industry, and social interactions, require an autono…

cs.RO2017

Underwater Multi-Robot Convoying using Visual Tracking by Detection

Florian Shkurti, Wei-Di Chang, Peter Henderson +7

We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments. Our method…