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researcher

A. Chakravarthy

4 papers hereh-index 161.6k citations135 works total

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

author position
  • first author1
  • last author3

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

fields
  • cs.CV1
  • cs.RO1
  • eess.SY1
  • math.OC1
same name
  • A. Chakravarthy — 7 papers, h 7
  • A. Chakravarthy — 4 papers, h 2
  • A. Chakravarthy — 3 papers, h 5
  • A. Chakravarthy — 1 paper, h 1
  • A. Chakravarthy — 1 paper, h 1
  • A. Chakravarthy — 1 paper, h 4

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
20212023
most citedCollision Course for Objects Moving on a Spherical Manifold

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

eess.SY2023★ 1 cited

Collision Course for Objects Moving on a Spherical Manifold

Animesh Chakravarthy, Debasish Ghose

In this paper, we address the problem of predicting collision for objects moving on the surface of a spherical manifold. Toward this end, we develop the notion of a collision trian…

math.OC2023

Escape from an Orbiting Pursuer with a Nonzero Capture Radius

Braulio Mora, Alexander Von Moll, Isaac Weintraub +2

This paper explores a multi-agent containment problem, where a fast evader, modeled having constant speed and using constant heading, attempts to escape a circular containment regi…

cs.RO2022

Collision Avoidance of 3-Dimensional Objects in Dynamic Environments

Kashish Dhal, Abhishek Kashyap, Animesh Chakravarthy

Achieving collision avoidance between moving objects is an important objective while determining robot trajectories. In performing collision avoidance maneuvers, the relative shape…

cs.CV2021

Vision-Based Guidance for Tracking Dynamic Objects

Pritam Karmokar, Kashish Dhal, William J. Beksi +1

In this paper, we present a novel vision-based framework for tracking dynamic objects using guidance laws based on a rendezvous cone approach. These guidance laws enable an unmanne…

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