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Jean Oh

4 papers hereh-index 227 citations7 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.RO2
same name
  • Jean Oh — 8 papers, h 4
  • Jean Oh — 7 papers, h 6
  • Jean Oh — 6 papers, h 3
  • Jean Oh — 5 papers, h 4
  • Jean Oh — 4 papers, h 2
  • Jean Oh — 2 papers, h 3

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

most citedBridging Language and Action: A Survey of Language-Conditioned Robot Manipulation

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

cs.RO2026★ 4 cited

Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation

Xiangtong Yao, Hongkuan Zhou, Oier Mees +12

Language-conditioned robot manipulation is an emerging field aimed at enabling seamless communication and cooperation between humans and robotic agents by teaching robots to compre…

cs.AI2026

InterPReT: Interactive Policy Restructuring and Training Enable Effective Imitation Learning from Laypersons

Feiyu Gavin Zhu, Jean Oh, Reid Simmons

Imitation learning has shown success in many tasks by learning from expert demonstrations. However, most existing work relies on large-scale demonstrations from technical professio…

cs.RO2025

Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications

Chanwoo Kim, Jihwan Yoon, Hyeonseong Kim +9

Mobile robot navigation in dynamic human environments requires policies that balance adaptability to diverse behaviors with compliance to safety constraints. We hypothesize that in…

cs.AI2025

Sample-Efficient Behavior Cloning Using General Domain Knowledge

Feiyu Zhu, Jean Oh, Reid Simmons

Behavior cloning has shown success in many sequential decision-making tasks by learning from expert demonstrations, yet they can be very sample inefficient and fail to generalize t…

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