Sai Krishna Ghanta
PhD Student in Artificial Intelligence
I am a PhD student in Artificial Intelligence at the University of Georgia, working under the guidance of Dr. Ramviyas Parasuraman at the HeRoLab. My research focuses on multi-robot systems, computer vision, and autonomous navigation in complex environments.
Prior to my PhD, I gained valuable research experience at Samsung R&D Institute, Louisville Automation & Robotics Research Institute, and various academic labs, focusing on deep learning applications in computer vision and robotics. I completed my Bachelor of Technology in Data Science and Artificial Intelligence from IIIT Naya Raipur.
Research Interests
Exploring cutting-edge technologies in AI and robotics
Robot Learning
Foundation Models, Reasoning Frameworks, Neuro-Symbolic AI
Multi-Robot Systems
Distributed Localization, Task Planning, Exploration
Computer Vision
VLMs, SLAM, Scene Graphs
Machine Learning
Gaussian Processes, Reinforcement Learning, Continuous Thought Machines
Recent Updates
Research
My research focuses on advancing multi-robot systems, computer vision, and AI frameworks for autonomous navigation and cooperative exploration.
Robot Learning
My research in Robot Learning centers on embodied AI and reasoning frameworks for understanding spatial phenomena such as WiFi signal strength and humidity. I am developing frameworks that enable robots to effectively interact with humans while performing autonomous environmental monitoring. This research bridges the gap between low-level sensor data and high-level semantic understanding.
Multi-Robot Systems
My research on Multi-Robot Systems focuses on developing robust and scalable distributed mapping frameworks for multiple autonomous robots. I have developed the SPACE framework for 3D spatial cooperation and exploration that mitigates ghosting trail effects in 3D reconstructions. Additionally, I am investigating 3DS-SLAM, which integrates 3D object detection into semantic SLAM for dynamic indoor environments.
Computer Vision
My Computer Vision research spans probabilistic scene graph reasoning and SLAM frameworks for dynamic environments. I focus on developing scene graph representations that capture semantic relationships between objects in 3D scenes. Additionally, I research SLAM frameworks specifically designed for dynamic object filtering and multi-robot collaborative mapping.
Machine Learning
My Machine Learning research focuses on developing novel ML models for robotics and embodied AI tasks. I have worked extensively with Gaussian Processes for uncertainty quantification in distributed localization, developing MGPRL for multi-robot relative localization using Wi-Fi signals. Recently, I have been exploring cognitive ML architectures that combine classical and deep learning approaches.
Publications
Research contributions in artificial intelligence and robotics
Journal Papers
Deep Learning based Holistic Speaker Independent Visual Speech Recognition
Data preprocessing techniques: emergence and selection towards machine learning models-a practical review using HPA dataset
Speaker Independent Visual Speech Recognition: A Systematic Review and Futuristic Applications
Conference Papers
SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems
MGPRL: Distributed Multi-Gaussian Processes for Wi-Fi-based Multi-Robot Relative Localization in Large Indoor Environments
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments
Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks
A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification
Epersist: A Two-Wheeled Self Balancing Robot Using PID Controller And Deep Reinforcement Learning
dScout: Unmanned Ground Vehicle for Automatic Disease Detection and Pesticide Atomizer
Submitted Papers
Thermographic Fault Diagnosis: An eXplainable Compact Vision in Transformer Approach for Electrical Machine
Updates Archive
Academic milestones, research achievements, and professional updates.
Resume
Academic and professional experience
Education
PhD in Artificial Intelligence
August 2024 - June 2027Research focus on multi-robot systems, computer vision, and autonomous navigation under Dr. Ramviyas Parasuraman at HeRoLab. Developing frameworks for distributed localization and cooperative exploration in complex environments.
Bachelor of Technology in Data Science and Artificial Intelligence
November 2020 - June 2024Comprehensive program covering machine learning, deep learning, computer vision, and robotics applications. Completed advanced coursework in statistical learning theory and representation learning.
Secondary Education
June 2018 - March 2020Focused on advanced mathematics and physics with exceptional performance in national competitive examinations.
Research Experience
Graduate Research Assistant
August 2024 - April 2025Developed an online 3D spatial exploration framework (SPACE) for multi-robot systems utilizing situational awareness and dynamic filter to mitigate ghosting trail effect in 3D reconstructions. Introduced a distributed multi-robot relative localization approach (MGPRL) leveraging uncertainty-aware Gaussian Processes and Wi-Fi RSSI signals for robust, efficient pose estimation in GPS-denied environments. Currently working on Multi-Agent Robot Task Planning using Large Language Models with a focus on visual reconstructions for embodied multi-robot task allocation.
Visiting Research Intern (Summer 2023)
January 2023 - June 2024Developed 3DS-SLAM, a real-time 3D Object Detection in the Visual SLAM with RGB-D and LiDAR. Investigated on reliability of Camera-LiDAR sensor fusion calibration mechanisms for robotics use-cases. Worked on developing Physical Twin with Franka Emika Panda robotic arm and Haption Virtuose 6D RV.
AI Research Intern
July 2022 - January 2023Designed and Developed Deep Learning based Generative Adversarial Networks (GAN) approaches for synthetic data generation for Optical Character Recognition (OCR) in Bixby Vision. Streamlined ViTGAN, designed morphological operations for handwritten text synthetic data generation for OCR.
Machine Learning Intern
September 2021 - December 2021Worked on implementing an NLP-based curation engine to assess the educational materials with OCR. Constructed an integrated NLP and CV pipeline to recognize the hand-written text and text summarization consolidated with harmful corpus detection in educational materials for 6D educational model.
Undergraduate Research Assistant
January 2021 - August 2021Developed a scalable AI systems such as LIPAR: a person independent spatio-temporal visual speech recognition system via a mobile application, ViTDD: Vision Transformers based Drowsiness detection in real-time. Partly lectured, graded quizes for Data Preprocessing, Statistical Learning Theory, Representation Learning.
Technical Skills
Programming Languages
ML Frameworks
Robotic Frameworks
Cloud & Database
Achievements & Awards
Recipient of International Travel Grant of 2500$, 6000$ - IIITNR's TEQIP II (2023,2024)
Recipient of Travel Grant for TENCON2023 Conference 1200$ - IIITNR's TEQIP (2023)
1st Position (2400+ developers): Ernst and Young GDS (EY-GDS) Hackpions 3.0 (2021)
Recipient of the 100 Percent Scholarship honor in 10+2 Pre-University Programme - FIITJEE (2016)
Positions of Responsibility
Secretary of Artificial Intelligence and Machine Learning Club, IIIT Naya Raipur (June 2021 - June 2022)
Student Volunteer at National Service Schema, NSS - IIIT Naya Raipur (December 2020 - June 2021)
IEEE Student Member (Jan 2022 - Present)
Technical Reviewer IEEE AiDaS 2023 and IROS 2025
Contact
Get in touch for research collaboration and opportunities
Contact Information
saikrishna311002@gmail.com
Location
Athens, Georgia, USA
Affiliation
HeRoLab, University of Georgia
Research Collaboration
Interested in Collaborating?
I'm actively seeking collaboration opportunities in robotics and AI research. Please reach out through email or LinkedIn.