Hello, I'm Kowndinya Boyalakuntla

I am a graduate student at Rutgers University, where I work on robot manipulation and language-guided robotics. I am advised by Jingjin Yu. 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 - Oct 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

Publications

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

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

IROS, 2024

A computationally efficient approach to storing objects in multimodal containers.

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

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

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.

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

ESEC/FSE, 2022

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

RepoQuester: A Tool Towards Evaluating GitHub Projects

RepoQuester: A Tool Towards Evaluating GitHub Projects

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.

GitQ-towards using badges as visual cues for GitHub projects

GitQ-towards using badges as visual cues for GitHub projects

ICPC, 2022

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

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

CVIP, 2021

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