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20132022
most citedDetection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

232 citations · 270 across the 10 of their papers we have counts for

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Showing cs.ROShow all

7 papers · 1 filter

cs.RO2020

The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation

Shurjo Banerjee, Jesse Thomason, Jason J. Corso

Autonomous robot systems for applications from search and rescue to assistive guidance should be able to engage in natural language dialog with people. To study such cooperative co…

cs.RO2019

Robot-Supervised Learning for Object Segmentation

Victoria Florence, Jason J. Corso, Brent Griffin

To be effective in unstructured and changing environments, robots must learn to recognize new objects. Deep learning has enabled rapid progress for object detection and segmentatio…

cs.RO2019

Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot

Brent A. Griffin, Victoria Florence, Jason J. Corso

To be useful in everyday environments, robots must be able to identify and locate real-world objects. In recent years, video object segmentation has made significant progress on de…

cs.RO20194 cited

Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification

Abhishek Venkataraman, Brent Griffin, Jason J. Corso

To be useful in everyday environments, robots must be able to observe and learn about objects. Recent datasets enable progress for classifying data into known object categories; ho…

cs.RO2018

A Critical Investigation of Deep Reinforcement Learning for Navigation

Vikas Dhiman, Shurjo Banerjee, Brent Griffin +2

The navigation problem is classically approached in two steps: an exploration step, where map-information about the environment is gathered; and an exploitation step, where this in…

cs.RO2016

Spatiotemporal Articulated Models for Dynamic SLAM

Suren Kumar, Vikas Dhiman, Madan Ravi Ganesh +1

We propose an online spatiotemporal articulation model estimation framework that estimates both articulated structure as well as a temporal prediction model solely using passive ob…