AND ROBOTICS LAB
INNOVATION
NOTICE
BOARD
ORIENTATION BOOTING
Discover how technology has come so far with innovation and robotics
Programmers, electrical engineers, mechanical engineers, and developers collaborate to design, construct, and program robotic systems, combining their expertise in software, electronics, and mechanics to create advanced robotic solutions for various applications and industries.
Programming
The goal of programming is to create software that solves problems.
Mechanical
Mechanical Power: The Power to Change the World
Electronics
Electronics will change the world in ways we can't even imagine.
Unlock the Future with Robotics Technology
Robotics is a field that combines computer science, electrical engineering, and mechanical engineering to design, build, and program intelligent machines known as robots. These robots are capable of performing tasks autonomously or under human control. They use sensors to perceive their environment, actuators to move and manipulate objects, and programming to make decisions and carry out specific tasks. Robotics has applications in various industries, including manufacturing, healthcare, agriculture, space exploration, and more. As technology advances, robotics continues to play a crucial role in shaping the future of automation, artificial intelligence, and human-robot interactions.
Elevating Ambitions: Our Inspiring Mentor Team.
At mentor, we are driven by our mission to help people succeed in the tech industry. Our team of experienced professionals are dedicated to helping people develop the knowledge, skills and confidence to take the next step in their tech career.
Dr. Manoj Nikam
Prof. Sonali Mhatre
Prof. Jagdish Mandare
Prof. MM Bhule
Dr. Vaishali Agme
Artificial Intelligence (AI) and Machine Learning (ML)
Artificial Intelligence (AI) : AI is the broad field of creating intelligent machines that can mimic human cognitive functions. It encompasses tasks like problem-solving, learning, perception, and language understanding. AI systems aim to simulate human intelligence and can be categorized into Narrow AI, designed for specific tasks, and General AI, which would possess human-like cognitive abilities across various domains.
Machine Learning (ML) : ML is a subset of AI that focuses on enabling machines to learn and make decisions from data. Instead of being explicitly programmed, ML algorithms improve their performance over time through experience. Key types of ML include supervised learning (learning from labeled data), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning by interaction).