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researcher

M. Meng

26 papers hereh-index 6213.9k citations510 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author22

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.RO22
  • cs.CV3
  • cs.AI1
same name
  • M. Meng — 14 papers, h 15
  • M. Meng — 2 papers, h 3
  • M. Meng — 2 papers, h 0
  • M. Meng — 2 papers, h 2
  • M. Meng — 2 papers, h 5
  • M. Meng — 2 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedAutonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

9 citations · 38 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

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.RO2019★ 1 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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.