Robotics and AI
Robotics and Artificial Intelligence focus on the design, modelling, and development of intelligent robotic systems capable of performing complex tasks in dynamic environments. Research activities include autonomous robotic systems, biologically inspired robotics, and advanced robotic mechanisms such as cable-driven systems and variable stiffness joints.
Artificial intelligence and machine learning techniques are increasingly integrated with robotics for perception, decision-making, and control. Applications include computer vision-based structural health monitoring, biomedical image analysis using deep learning, and autonomous navigation systems. By combining mechanical design, control systems, sensing technologies, and AI-based algorithms, this field aims to develop intelligent systems that can address emerging challenges in healthcare, manufacturing, infrastructure monitoring, and exploration.
Robotics:
This research area focuses on the design, modelling, and development of advanced robotic systems capable of operating in complex and unstructured environments. Research includes autonomous robotic systems, biologically inspired robots, and innovative mechanisms such as cable-driven systems and variable stiffness joints. Emphasis is also placed on collaborative robotics and human–robot interaction to enable safe and efficient cooperation between humans and machines. Applications span underwater exploration, infrastructure inspection, assistive technologies, and industrial automation.
Facilities
- Stewart Platform
- Humanoid Robot Platform
- Hexapod Robot Platform
- Four-Wheeled Mobile Robot Platforms
- Robotic Manipulation Systems
Experts
Dr. Pandu Ranga Vundavilli, Dr. Vimalesh Muralidharan
Labs
- Artificial Intelligence and Mechatronics Laboratory
- Machine and Mechanism Laboratory
Biomedical Engineering:
This area emphasizes the integration of artificial intelligence and machine learning techniques for perception, decision-making, and control in engineering systems. Research activities include computer vision-based structural health monitoring, deep learning approaches for biomedical image analysis, and data-driven modelling for intelligent system development. By combining AI with sensing and data analytics, this area addresses challenges in healthcare, smart infrastructure, and autonomous systems.
Facilities
- GPU Server
- High Computing Workstations
- Sensing Platforms
- Robotic vision platform
- Swarm robots
Experts
Dr. Manas Mohan Mahapatra, Dr. Pandu Ranga Vundavilli, Dr. Satish Kumar Panda, Dr. Soumya Ranjan Sahoo
Labs
- Robotics and Python Laboratory
- Robotics and Vision Laboratory
Key Features
Expertise
The Robotics and AI (RAI) domain focuses on intelligent robotic systems and biomedical engineering, integrating mechanical design, sensing, control, and artificial intelligence. Research encompasses autonomous robotics, human–robot collaboration, and AI-driven perception and medical imaging in healthcare technologies.
Strength
The domain demonstrates strong capabilities in developing intelligent robotic systems, advanced robotic mechanisms, assistive technologies, and biomedical solutions, including AI-enabled medical imaging and healthcare systems.
Software
MATLAB, Python-based AI frameworks, robotic simulation platforms, and ARDUINO software are used for modelling, control, and development of intelligent robotic systems.
Equipment & Tools
Advanced robotic platforms like humanoid robots, hexapod systems, mobile robots, Stewart platforms, and robotic manipulators, along with modern sensing, data acquisition, and control systems
Current and Future directions
Future research directions include autonomous robotic systems, collaborative and assistive robotics, biomedical devices, and integration of machine learning with robotic sensing, actuation, and decision-making for next-generation intelligent systems
