Sai Haneesh Allu
I'm a Ph.D. candidate in Computer Science at the University of
Texas at Dallas, advised by Dr. Yu Xiang in the Intelligent Robotics and Vision Lab.
My research focuses on autonomous robot systems, particularly in efficient path planning,
exploration, navigation, SLAM, simulation, control, and mobile manipulation in large-scale
environments. I'm interested in developing algorithms that enable robots to intelligently perceive,
map, and interact with their surroundings in real-time.
Previously, I completed my M.Tech in Control and Automation at IIT Delhi and my B.Tech in Electrical and Electronics
Engineering at NIT Warangal. I also co-founded VECROS
Technologies where I worked on VIO-based autonomous systems.
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Research
I'm interested in robotics, computer vision, machine learning, and control systems. Much of my
research involves developing algorithms for robot autonomy, focusing on exploration, semantic
mapping, navigation, and manipulation in complex environments. Some papers are highlighted.
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Autonomous Exploration and Semantic Updating of Large-Scale Indoor
Environments
Sai Haneesh Allu,
Itay Kadosh,
Tyler Summers,
Yu Xiang
Under submission to ICRA, 2025
project page
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arXiv
An approach for autonomous exploration and semantic updating of large-scale indoor environments,
enabling robots to efficiently map and understand complex spaces.
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Grasping Trajectory Optimization with Point Clouds
Yu Xiang,
Sai Haneesh Allu,
Rohith Peddi,
Tyler Summers,
Vibhav Gogate
IEEE/RSJ IROS, 2024
project page
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arXiv
A method for optimizing grasping trajectories using point cloud data, improving robotic manipulation
in complex environments.
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SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating
Reproducible Scenes
Ninad Khargonkar,
Sai Haneesh Allu,
Yangxiao Lu,
Balakrishnan
Prabhakaran,
Yu Xiang
ICRA, 2024
project page
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arXiv
A benchmark for real-world robot manipulation through reproducible scene creation, enhancing
evaluation of robotic systems.
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Masters Thesis: Formation Control of Quadcopters
Sai Haneesh Allu,
Shubhendu Bhasin
Masters Thesis
paper
A study on formation control strategies for quadcopters, enabling coordinated flight in multi-agent
systems.
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Industry Experience
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VECROS Technologies, Co-Founder and CTO, 2020 – 2021, Delhi, India
Sterlite Tech, Operations Engineer, 2016 – 2017, MH, India
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Teaching
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Graduate Student Instructor,
CS4361: Computer Graphics Fall 2022 - Present
Teaching Assistant, ELL 705: Stochastic
Filtering and Identification, Spring 2020
Graduate Student Instructor, ELP 801:
Advanced Control Lab, Fall 2018 - Fall 2019
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Academic Service
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Reviewer, IROS, 2025
Reviewer, ICRA, 2025
Reviewer, IROS, 2024
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