activity
20172019
most citedAutonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

9 citations · 12 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO2019

Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition

Delong Zhu, Jianbang Liu, Nachuan Ma +2

Elevator button recognition is considered an indispensable function for enabling the autonomous elevator operation of mobile robots. However, due to unfavorable image conditions an…

cs.RO20191 cited

Learning Hierarchical Control for Robust In-Hand Manipulation

Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng +2

Robotic in-hand manipulation has been a long-standing challenge due to the complexity of modelling hand and object in contact and of coordinating finger motion for complex manipula…

cs.RO2019

Learning to Solve a Rubik's Cube with a Dexterous Hand

Tingguang Li, Weitao Xi, Meng Fang +2

We present a learning-based approach to solving a Rubik's cube with a multi-fingered dexterous hand. Despite the promising performance of dexterous in-hand manipulation, solving co…

cs.RO2019

HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots

Tingguang Li, Danny Ho, Chenming Li +3

As one of the most promising areas, mobile robots draw much attention these years. Current work in this field is often evaluated in a few manually designed scenarios, due to the la…

cs.RO20182 cited

SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments

Chaoqun Wang, Delong Zhu, Teng Li +2

In this paper, we propose an integrated framework for the autonomous robotic exploration in indoor environments. Specially, we present a hybrid map, named Semantic Road Map (SRM),…

cs.RO20179 cited

Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

Chaoqun Wang, Lili Meng, Sizhen She +6

Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environment…