Hello, I'm Kowndinya Boyalakuntla

I am a graduate student at Rutgers University, where I work on robot learning, manipulation and language-guided robotics. I am advised by Abdeslam Boularias. Previously, I was an undergraduate student at the IIT Tirupati advised by Sridhar Chimalakonda and Kalidas Yeturu.

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Computer Science (Robotics)
PhD
Sep. 24 - May 29

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Computer Science
Masters
Aug. 22 - May 24

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UG Researcher
Dec. 19 - May 22

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Visiting Scholar
Jul. 20 - Sep. 20

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Computer Science and Engineering
B.Tech
Jul. 17 - Jul. 21

News

  • June 2024: DAP has been accepted to IROS 2024.
  • June 2024: LGMCTS has been accepted to IROS 2024.
  • Aug 2023: OVSG has been accepted to CoRL 2023.
  • Jan 2023: I have joined Rutgers Robot Learning Lab as a graduate student researcher.

Publications

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage

Haonan Chang, Kowndinya Boyalakuntla, Yuhan Liu, Xinyu Zhang, Liam Schramm, Abdeslam Boularias
IROS, 2024

A computationally efficient approach to storing objects in multimodal containers.

Project Page PDF Publication Code
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement

Haonan Chang, Kai Gao, Kowndinya Boyalakuntla, Alex Lee, Baichuan Huang, Harish Udhaya Kumar, Jingjin Yu, Abdeslam Boularias
IROS, 2024

A novel framework to the executable complex geometric rearrangement problem.

Project Page PDF Publication Code
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas Bekris, Abdeslam Boularias
CoRL, 2023

An Open-Vocabulary 3D Scene Graph (OVSG), a formal framework for grounding a variety of entities such as object instances, agents, and regions, with free-form text-based queries.

Project Page PDF Publication Code
eGEN: an energy-saving modeling language and code generator for location-sensing of mobile apps

eGEN: an energy-saving modeling language and code generator for location-sensing of mobile apps

Kowndinya Boyalakuntla, Marimuthu Chinnakali, Chandrasekaran Kalicheti, Sridhar Chimalakonda
ESEC/FSE, 2022

A tool to specify energy-aware self-adaptive location-sensing strategies helping developers write battery-aware code for mobile apps.

Publication Code
RepoQuester: A Tool Towards Evaluating GitHub Projects

RepoQuester: A Tool Towards Evaluating GitHub Projects

Kowndinya Boyalakuntla, Meiyappan Nagappan, Sridhar Chimalakonda, Nuthan Munaiah
ICSME, 2022

A command-line tool to assist developers in evaluating projects by providing quantitative scores for ten metrics that span project collaboration, quality and maintenance.

Publication Code
GitQ-towards using badges as visual cues for GitHub projects

GitQ-towards using badges as visual cues for GitHub projects

Akhila Sri Manasa Venigalla, Kowndinya Boyalakuntla, Sridhar Chimalakonda
ICPC, 2022

A Chrome plugin to augment GitHub with badges that deliver visual cues quantifying the project's architecture and maintenance.

Publication Code
A Platform for Large Scale Auto Annotation of Scanned Documents Featuring Real-Time Model Building and Model Pooling

A Platform for Large Scale Auto Annotation of Scanned Documents Featuring Real-Time Model Building and Model Pooling

Prashanth Komuravelli, Kowndinya Boyalakuntla, Vijay Chilaka, Teja Dande, Vidya Rodge, Ramya Velaga, Reena Abasaheb Deshmukh, Kalidas Yeturu
CVIP, 2021

We report here a platform and a model building algorithm that does auto-annotation of documents by building models in real-time.

Publication Code