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researcher

G. Narasimhan

4 papers hereh-index 343 citations5 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.RO2
  • cs.CV1
  • cs.LG1
same name
  • G. Narasimhan — 6 papers, h 39

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
20202026
most citedROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning

8 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

AevaScenes: An FMCW LiDAR Dataset and Benchmark for Long-Range Perception

Gautham Narayan Narasimhan, Heethesh Vhavle, Kumar Bhargav Viswanatha +2

FMCW LiDAR measures per-point radial Doppler velocity alongside range, providing a motion cue unavailable in conventional time-of-flight sensors. Exploiting this signal at long ran…

cs.RO2023

Lidar based 3D Tracking and State Estimation of Dynamic Objects

Patil Shubham Suresh, Gautham Narayan Narasimhan

State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle. Our approa…

cs.RO2022

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner +2

Liquid state estimation is important for robotics tasks such as pouring; however, estimating the state of transparent liquids is a challenging problem. We propose a novel segmentat…

cs.LG2020★ 8 cited

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning

Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin +2

Current image-based reinforcement learning (RL) algorithms typically operate on the whole image without performing object-level reasoning. This leads to inefficient goal sampling a…

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