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Xiaojian Ma

11 papers hereh-index 182.3k citations25 works total

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

author position
  • middle author11

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.RO4
  • cs.CV1
same name
  • Xiaojian Ma — 21 papers, h 12
  • Xiaojian Ma — 9 papers, h 8
  • Xiaojian Ma — 5 papers, h 5
  • Xiaojian Ma — 1 paper
  • Xiaojian Ma — 1 paper

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
20182026
most citedImitation Learning from Observations by Minimizing Inverse Dynamics Disagreement

27 citations · 59 across the 7 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body Teleoperation

Donglin Yang, Haoran Chen, Xingyu Chen +6

Mobile manipulation is a key capability for embodied intelligence, enabling robots to accomplish complex multi-stage tasks in open-world environments. However, mobile manipulation…

cs.RO2020

A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU

Shuang Li, Jiaxi Jiang, Philipp Ruppel +5

In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking me…

cs.RO2018

Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network

Shuang Li, Xiaojian Ma, Hongzhuo Liang +5

In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are d…

cs.RO2018

PointNetGPD: Detecting Grasp Configurations from Point Sets

Hongzhuo Liang, Xiaojian Ma, Shuang Li +5

In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud. Compared t…

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