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Ding Zhao

16 papers here

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

author position
  • first author1
  • middle author7
  • last author7

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.RO5
  • cs.CL2
  • cs.CV1
  • cs.OH1
  • eess.AS1
ORCID 0000-0002-9400-8446
same name
  • Ding Zhao — 28 papers, h 35
  • Ding Zhao — 20 papers, h 31
  • Ding Zhao — 4 papers
  • Ding Zhao — 1 paper, h 3
  • Ding Zhao — 1 paper, h 22

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
20162024
most citedPrompting Decision Transformer for Few-Shot Policy Generalization

18 citations · 41 across the 16 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2023★ 3 cited

Creative Robot Tool Use with Large Language Models

Mengdi Xu, Peide Huang, Wenhao Yu +7

Tool use is a hallmark of advanced intelligence, exemplified in both animal behavior and robotic capabilities. This paper investigates the feasibility of imbuing robots with the ab…

cs.RO2023★ 1 cited

Guardians as You Fall: Active Mode Transition for Safe Falling

Yikai Wang, Mengdi Xu, Guanya Shi +1

Recent advancements in optimal control and reinforcement learning have enabled quadrupedal robots to perform various agile locomotion tasks over diverse terrains. During these agil…

cs.RO2023★ 1 cited

Embodied Executable Policy Learning with Language-based Scene Summarization

Jielin Qiu, Mengdi Xu, William Han +2

Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained LLMs heavily…

cs.RO2023

Learning to View: Decision Transformers for Active Object Detection

Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande +4

Active perception describes a broad class of techniques that couple planning and perception systems to move the robot in a way to give the robot more information about the environm…

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