Robotics Club Overview
The Robotics Club is a technical community established to bridge the gap between classroom learning and modern robotics industry practices. The club focuses on project-based learning, giving students practical experience instead of relying only on theoretical concepts.
Our goal is to help students design, build, simulate, test, and deploy real-world sensor based embedded IoT/robotic systems. The club provides a collaborative environment where members develop technical skills, teamwork, creativity, problem-solving abilities, and a habit of continuous learning.
By using industry-standard software tools and open-source technologies, the Robotics Club prepares students for careers in Robotics, Artificial Intelligence (AI), Embedded Systems, and Autonomous Systems. Through workshops, hands-on training, technical projects, competitions, and research activities, members gain the knowledge and practical skills needed to meet industry expectations.
The Robotics Club provides a platform for students to learn modern technologies, work on innovative projects, and build a strong foundation for future careers in robotics and intelligent systems.
Vision:
To become a center of excellence that develops industry-ready robotics engineers capable of designing intelligent robotic systems through innovation, practical engineering, research, and modern technologies.
Mission:
1. To provide hands-on training in robotics, embedded systems, AI, and automation through practical projects and workshops.
2. To encourage innovation, creativity, and problem-solving by developing real-world robotics applications.
3. To promote teamwork, technical excellence, and continuous learning through collaborative activities and competitions.
4. To equip students with industry-relevant skills using modern tools, open-source technologies, and professional engineering practices.
4. To inspire students to pursue research, entrepreneurship, and careers in robotics and intelligent systems.
Technology Stack:
- Operating System:
- Programming:
- Robotics Frameworks:
- Computer Vision & AI:
- Embedded Platforms
- Development Tools:
Ubuntu Linux
Python, C, C++
ROS 2, Gazebo, Foxglov
OpenCV, Artificial Intelligence (AI), Machine Learning (ML
Arduino, ESP32, Embedded Systems
Docker, Git, GitHub, Linux Command Line (CLI)
Faculty Coordinator:
Dr. Thirumalesu Kudithi, Assistant Professor, SoT
Student Coordinator:
1. Deviprasad Reddy, AIML, III Year
2. Sai Sivaram, AIDS, II Year