Kowndinya Boyalakuntla

Kowndinya Boyalakuntla

I’m a third-year Ph.D. student in Computer Science at Rutgers University, advised by Prof. Abdeslam Boularias.

I have nearly 4 years of research experience in robot learning and planning, spanning 3D scene understanding, object rearrangement, dynamic manipulation, and model-based reinforcement learning for humanoid locomotion. I have published at CoRL and IROS.

My current research explores action abstractions from human motion capture for planning with learned world models toward robust humanoid loco-manipulation. I also study Q-guided planning for vision-language-action (VLA) policies.

Publications

Google Scholar
Earlier researchSoftware engineering & document understanding

Teaching & service

Fall 2026

CS440: Introduction to Artificial Intelligence, Course Instructor, Rutgers University

Spring 2026

CS440: Introduction to Artificial Intelligence, Teaching Assistant, Rutgers University

Fall 2025

CS460: Introduction to Computational Robotics, Teaching Assistant, Rutgers University

Spring 2025

CS440: Introduction to Artificial Intelligence, Teaching Assistant, Rutgers University

Fall 2024

CS440: Introduction to Artificial Intelligence, Teaching Assistant, Rutgers University

Peer review
  • IEEE International Conference on Robotics and Automation (ICRA) (2026)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2025, 2026)
  • Conference on Robot Learning (CoRL) (2026)
  • The International Journal of Robotics Research (IJRR) (2026)
  • International Conference on Automated Planning and Scheduling (ICAPS) (2026)

Background

Full CV

2024 – present

Ph.D. in Computer Science

Rutgers University

Sep 2022 – Oct 2024

M.S. in Computer Science

Rutgers University

2017 – 2021

B.Tech. in Computer Science and Engineering

Indian Institute of Technology Tirupati

Previously, I worked with Prof. Sridhar Chimalakonda and Prof. Kalidas Yeturu at IIT Tirupati, and visited the University of Waterloo.