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researcher

Harold Soh

8 papers here

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

author position
  • sole author1
  • middle author2
  • last author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.AI1
  • cs.CL1
  • cs.MA1
  • stat.ML1
ORCID 0000-0002-3278-0035
same name
  • Harold Soh — 22 papers
  • Harold Soh — 2 papers, h 2
  • Harold Soh — 1 paper
  • Harold Soh — 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
20142024
most citedTranslating Natural Language to Planning Goals with Large-Language Models

46 citations · 50 across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2024

NUSense: Robust Soft Optical Tactile Sensor

Madina Yergibay, Tleukhan Mussin, Saltanat Seitzhan +4

While most tactile sensors rely on measuring pressure, insights from continuum mechanics suggest that measuring shear strain provides critical information for tactile sensing. In t…

cs.RO2024★ 3 cited

Octopi: Object Property Reasoning with Large Tactile-Language Models

Samson Yu, Kelvin Lin, Anxing Xiao +2

Physical reasoning is important for effective robot manipulation. Recent work has investigated both vision and language modalities for physical reasoning; vision can reveal informa…

cs.RO2023

Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation

Jiaming Wang, Harold Soh

To advance the field of autonomous robotics, particularly in object search tasks within unexplored environments, we introduce a novel framework centered around the Probable Object…

cs.RO2023

Refining 6-DoF Grasps with Context-Specific Classifiers

Tasbolat Taunyazov, Heng Zhang, John Patrick Eala +2

In this work, we present GraspFlow, a refinement approach for generating context-specific grasps. We formulate the problem of grasp synthesis as a sampling problem: we seek to samp…

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