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M. Kulkarni

23 papers hereh-index 151k citations34 works total

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

author position
  • first author9
  • middle author13

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.RO22
  • cs.CV1
same name
  • M. Kulkarni — 87 papers, h 22
  • M. Kulkarni — 15 papers, h 6
  • M. Kulkarni — 4 papers, h 6
  • M. Kulkarni — 2 papers, h 3
  • M. Kulkarni — 1 paper, h 2
  • M. Kulkarni — 1 paper, h 17

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
20192026
most citedAerial Gym -- Isaac Gym Simulator for Aerial Robots

7 citations · 21 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.RO2023

Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots

Mihir Dharmadhikari, Paolo De Petris, Mihir Kulkarni +7

This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are crit…

cs.CV2023

Task-driven Compression for Collision Encoding based on Depth Images

Mihir Kulkarni, Kostas Alexis

This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for roboti…

cs.RO2023

Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots

Mihir Kulkarni, Huan Nguyen, Kostas Alexis

This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming…

cs.RO2023★ 7 cited

Aerial Gym -- Isaac Gym Simulator for Aerial Robots

Mihir Kulkarni, Theodor J. L. Forgaard, Kostas Alexis

Developing learning-based methods for navigation of aerial robots is an intensive data-driven process that requires highly parallelized simulation. The full utilization of such sim…

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