In contemporary society, robots, as automated machines, play a significant role in various facets of life, aiding in assembly processes and undertaking tasks in harsh conditions unsuitable for human presence. The field of robotics extends across numerous industries, leveraging mechanical devices to accomplish diverse tasks. With rapid technological progressions and a growing demand for robotics professionals, it has become imperative to provide programmes like b tech computer science and information technology, robotics, and artificial intelligence to aspiring tech enthusiasts to meet market needs.
What is a Robotic Brain?
The brain, a marvellously intricate organ, governs a myriad of functions in the human body including thought, memory, emotion, touch, motor skills, vision, and more. It orchestrates these processes by sending and receiving both chemical and electrical signals throughout the body. These signals, interpreted by the brain, can induce sensations like fatigue or pain. An Artificial Neural Network (ANN) or robotic brain network comprises interconnected units or nodes known as artificial neurons, mirroring the structure of biological brain neurons. Similar to synapses in the brain, these connections facilitate signal transmission between neurons. Artificial neurons receive, process, and transmit signals to connected neurons. Artificial brains, whether software or hardware, possess cognitive capabilities akin to those of animal or human brains, marking a significant advancement in mimicking the complexities of biological neural networks.
Embodiment and Cross-embodiment
Human brains demonstrate remarkable adaptability, effortlessly adjusting to changes in our body plan when interacting with tools, bicycles, or vehicles. This phenomenon, termed "embodiment," showcases our brain's ability to adapt to varying physical contexts. RT-X endeavours to replicate this versatility in robots by developing a single deep neural network capable of controlling diverse robot types—a concept known as cross-embodiment, promising enhanced adaptability and flexibility in robotic systems.
Recent findings suggest that employing large neural network models with substantial datasets enables relatively simple machine learning techniques to harness multi-robot data effectively. By adopting models akin to those used in contemporary LLMs like ChatGPT, the RT-X project can develop robot-control algorithms devoid of specialised features for cross-embodiment. This approach parallels a person's ability to operate a car or ride a bicycle using the same cognitive processes, promising enhanced adaptability in robotics.
School of Computer Science Engineering at REVA University
Among the B Tech computer science and engineering colleges, REVA University’s School of Computer Science and Engineering boasts a dynamic faculty with expertise in electronics, computing, and information technology, supported by state-of-the-art facilities such as digital classrooms and advanced laboratories. Offering B.Tech programmes in Computer Science and Engineering, Artificial Intelligence and Data Science, and IoT with Cyber Security, as well as M.Tech courses in computer science and engineering, the School emphasises cutting-edge research, culminating in Ph.D. opportunities. Our B. Tech programmes have faculty expertise that spans areas like AI, Machine Learning, Big Data Analytics, IoT, Blockchain, and Cyber Security. Programme curricula, shaped by collaboration with alumni, academics, and industry experts, bridge the industry-academia gap, fostering innovation and leadership. The B.Tech. computer science engineering, artificial intelligence and data science programmes at REVA aim to produce industry-ready professionals, while M. Tech Computer Science and Engineering focus on high-quality research and design in computing.
Key Features of School of Computer Science and Engineering at REVA University
- Industry-assisted projects for final-year students during Internships: Provides real-world experience and valuable skills for future careers
- Summer Internships with credit transfer: Provide summer internships with the added benefit of credit transfer allowing students to earn academic credits while gaining practical experience.
- Organising Hackathons and Ideathons: Fosters creativity and innovation within the student community while providing opportunities for participants to showcase their skills and collaborate on exciting projects.
Join REVA University: Shaping Tomorrow’s Technology Leaders
Among the colleges for B tech computer science, REVA University’s School of Computer Science Engineering stands tall with its innovative and cutting-edge curriculum. Our dynamic B Tech and M Tech programmes prepare students to excel in the rapidly evolving tech industry. We have a vibrant community of learners and innovators guided by experienced faculty who foster creativity and critical thinking. At REVA, we offer state-of-the-art facilities, industry collaborations, and numerous opportunities for internships and research projects. Whether you're passionate about artificial intelligence, cybersecurity, or software engineering, REVA University is one of the best colleges for B tech in computer science which provides the platform to launch your career with confidence.
