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Jun En Low

2 papers hereh-index 9172 citations12 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.RO2

identity via Semantic Scholar / OpenAlex

most citedNerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics

5 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2025★ 3 cited

CoinFT: A Coin-Sized, Capacitive 6-Axis Force Torque Sensor for Robotic Applications

Hojung Choi, Jun En Low, Tae Myung Huh +7

We introduce CoinFT, a capacitive 6-axis force/torque (F/T) sensor that is compact, light, low-cost, and robust with an average root-mean-squared error of 0.16N for force and 1.08m…

cs.RO2023★ 5 cited

NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics

Javier Yu, Jun En Low, Keiko Nagami +1

This work was presented at the IEEE International Conference on Robotics and Automation 2023 Workshop on Unconventional Spatial Representations. Neural radiance fields (NeRFs) are…

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