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20122023
most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations · 1.3k across the 20 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping

Yunzhi Lin, Chao Tang, Fu-Jen Chu +1

A segmentation-based architecture is proposed to decompose objects into multiple primitive shapes from monocular depth input for robotic manipulation. The backbone deep network is…

cs.RO2019

Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association

Xiaolong Wu, Patricio Vela, Cedric Pradalier

In this work, we propose a monocular visual odometry framework, which allows exploiting the best attributes of edge feature for illumination-robust camera tracking, while at the sa…

cs.RO2019

Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks

Fu-Jen Chu, Ruinian Xu, Chao Tang +1

Affordance information about a scene provides important clues as to what actions may be executed in pursuit of meeting a specified goal state. Thus, integrating affordance-based re…

cs.RO2019

Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion

Alexander H. Chang, Shiyu Feng, Yipu Zhao +2

Rectilinear forms of snake-like robotic locomotion are anticipated to be an advantage in obstacle-strewn scenarios characterizing urban disaster zones, subterranean collapses, and…

cs.RO20196 cited

Characterizing SLAM Benchmarks and Methods for the Robust Perception Age

Wenkai Ye, Yipu Zhao, Patricio A. Vela

The diversity of SLAM benchmarks affords extensive testing of SLAM algorithms to understand their performance, individually or in relative terms. The ad-hoc creation of these bench…

cs.RO2019

Good Feature Selection for Least Squares Pose Optimization in VO/VSLAM

Yipu Zhao, Patricio A. Vela

This paper aims to select features that contribute most to the pose estimation in VO/VSLAM. Unlike existing feature selection works that are focused on efficiency only, our method…