Amrita Student Wins First Prize at MIT Robocon 2019 Competition

Ruthvik Chanda (Semester 7) of Humanitarian Technology (HuT) Labs of the Department of Electronics and Communication Engineering (ECE), School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri campus, won first prize at Robocon 2019, an esteemed robotic competition, held at Massachusetts Institute of Technology (MIT), Boston, USA, from July 29 to August 9, 2019.

Amrita Self Driving Wheelchair Article in US Magazine 'BioPhotonics'

An article on Amrita Self Driving Wheelchair is published in the September 2018 issue of 'BioPhotonics' magazine by PhotonicsMedia. Researchers at the Humanitarian Technology (HuT) Labs at Amrita Vishwa Vidyapeetham in Kerala, India, have developed the self-driving wheelchair with Android-based VIVO smartphones and RoboPeak Lidar (RPLIDAR), a 360°, 2D laser scanner development kit. Led by professor Rajesh Kannan Megalingam, director of HuT, three engineering students — Raviteja Chinta, Akhil Raj, and Sarath Sreekanth — assisted with the project.

Amrita BTech Students Develop Revolutionary Self-Driving Wheelchair

The three final-year B.Tech students- Chinta Ravi Teja, Sarath Sreekanth and Akhil Raj– at Amrita Vishwa Vidyapeetham, Amritapuri campus, led by their professor,Dr. Rajesh Kannan Megalingam, Asst. Professor, Electronics and Communication, Amrita School of Engineering and Director of Humanitarian Technology Lab have developed a self-driving wheelchair, "Self-E", that can safely take a user from one point to another by navigating its own path and avoiding obstacles on the way. The wheelchair works on Robotic Operating System (ROS) and can be navigated using a smartphone app.

Amrita Students Develop an Economical Self-driving Wheelchair

Three final-year B.Tech students of Amrita Vishwa Vidyapeetham led by their professor Dr. Rajesh Kannan Megalingam, Assistant Professor, Electronics and Communication, Amrita School of Engineering, Amritapuri, have developed a self-driving wheelchair that can safely take a user from one point to another by navigating its own path and avoiding obstacles on the way. Called Self-E, the revolutionary wheelchair uses a Robotic Operating System (ROS) for autonomous navigation. It creates a map of the surrounding space, along with static and dynamic obstacles, using a laser sensor and displays it through a smartphone app. The user can then touch any point on the generated map, and the wheelchair will drive to that place automatically without user intervention.