Hello, I'm Lingala Manisha!

Master's Student in Electronics and Electrical Engineering

A passionate explorer in the world of robotics, artificial intelligence, and intelligent systems, crafting the future through innovative technology.

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Lingala Manisha

About Me

Discover my journey in robotics and AI

I'm currently pursuing my Master's in Electronics and Electrical Engineering at Kyungpook National University, where I am part of the Physical Intelligence Lab. My work lies at the intersection of control systems, robotic manipulation, and machine learning.

From programming drones to follow dynamic trajectories, to training robotic arms to pick up delicate objects, I've always been fascinated by the beautiful blend of logic and creativity that defines engineering.

Beyond the code and circuits, I am a thinker, a learner and a storyteller. I believe every robot I build is a story — of innovation, failure, resilience and breakthrough.

15+
Projects Completed
4.22
Current GPA
3+
Years Research
5+
Publications

Education

My academic journey in engineering and technology

2024 - Present
Master's in Electronics and Electrical Engineering
Kyungpook National University
Current GPA: 4.22/4.3 • Focus: Robotics, AI, and Diffusion Models • Physical Intelligence Lab Member
2022 - 2024
Bachelor's in Electronics Engineering (Double Degree)
Kyungpook National University
GPA: 3.96/4.3 • Focus: Advanced Robotics and AI Systems • International Exchange Program
2019 - 2024
Bachelor's in Electronics and Communication Engineering
Christ University
GPA: 3.94/4 • Focus: Robotics and Signal Processing • Foundation in Engineering Principles

Experience

My professional journey in robotics and AI research

Apr 2025 — Present
Researcher Consultant (Part-Time)
AI Robotics
Developing transformer-based computer vision models for welding defect detection • Programming Yaskawa industrial robots for automated manufacturing • Vision-based feedback systems for enhanced precision
Mar 2024 — Present
Full-Time Researcher
Physical Intelligence Lab, Kyungpook National University
Built vision-based robotic systems using YOLOv11 • Designed automated tissue-handling systems • Implemented Action Chunk Transformers • Research in diffusion models for robotic path planning
Sept 2022 — Feb 2024
Research Assistant (Part-Time)
Physical Intelligence Lab, Kyungpook National University
Developed drone control systems • Implemented MPC algorithms • Multi-robot coordination using TurtleBots • Hands-on experience in ROS and reinforcement learning

Featured Projects

Innovative solutions in robotics and artificial intelligence

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Project Overview

Project Title

Publications & Research

Contributing to the future of robotics and AI

Vision-Guided Imitation Learning Using Action Chunk Transformers

IEMEK 2024 Conference • Poster Presentation

Adapted ACT algorithm for single-arm robots in vision-based manipulation tasks using CVAE to predict grouped actions from visual and motion data, achieving improved speed, precision, and reliability.

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Imitating Precision: Behavioral Cloning for Robot Manipulators

Research Paper • Neural Network Implementation

Developed a neural network system to map end-effector positions to joint angles, achieving high accuracy and smooth trajectory following that outperforms traditional controllers.

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QROOT: Integrated Diffusion Transformer for Quadrupedal Locomotion

NeurIPS 2025 • Under Review

Submitted full-length paper combining diffusion transformers with reinforcement learning for advanced quadrupedal robot locomotion control.

Vision-Guided Predictive Action Imitation Learning

Engineering Applications of AI • Under Review

Journal article on discrete latent encoding for multitasking robots, advancing the field of vision-guided robotic manipulation.

MambaVLA: A Scalable and Efficient Vision-Language-Action Model with State Space Architecture

IEEE CCNC • Under Review

A novel VLA framework leveraging state space architecture to achieve SOTA in robotic manipulation

Achievements & Recognition

Milestones in my academic and research journey

Best Thesis Award — KNU-EERC

Received the prestigious best thesis award at the KNU-EERC event in July 2025, recognizing excellence in research methodology and innovation in robotics and AI.

Best Thesis Award Award Ceremony

NodyCon Oral Presentation — DLDMP Research

Delivered an acclaimed oral presentation on Discrete Latent Diffusion Motion Planning at NodyCon in New York, USA, showcasing cutting-edge research to an international audience.

NodyCon Presentation Conference Experience

Resume

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Contact Me

Let’s connect and create something amazing together

Email

manishalingala2002@gmail.com

LinkedIn linkedin.com