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D. Chang

15 papers hereh-index 232.5k citations128 works total

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

author position
  • sole author1
  • first author1
  • middle author2
  • last author10

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • math.OC7
  • cs.RO4
  • cs.LG3
  • eess.SP1
same name
  • D. Chang — 29 papers, h 45
  • D. Chang — 20 papers, h 27
  • D. Chang — 19 papers, h 23
  • D. Chang — 6 papers
  • D. Chang — 2 papers, h 6
  • D. Chang — 2 papers, h 12

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 citedModel Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces

14 citations · 26 across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2021★ 3 cited

Robust Navigation for Racing Drones based on Imitation Learning and Modularization

Tianqi Wang, Dong Eui Chang

This paper presents a vision-based modularized drone racing navigation system that uses a customized convolutional neural network (CNN) for the perception module to produce high-le…

cs.RO2019

Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation

Xiaowei Xing, Dong Eui Chang

Deep reinforcement learning trains neural networks using experiences sampled from the replay buffer, which is commonly updated at each time step. In this paper, we propose a method…

cs.RO2019

Robotic Navigation using Entropy-Based Exploration

Muhammad Usama, Dong Eui Chang

Robotic navigation concerns the task in which a robot should be able to find a safe and feasible path and traverse between two points in a complex environment. We approach the prob…

cs.RO2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction

Ce Ju, Zheng Wang, Cheng Long +2

Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for intelligent and autonomous vehicles. Complex sce…

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