Back close

Autonomous Navigational Platform for Elderly and Physically Challenged

School: School of Engineering

Project Incharge:Dr. Rajesh Kannan Megalingam
Autonomous Navigational Platform for Elderly and Physically Challenged

This project is about building automated wheelchair for the elderly and physically challenged. It takes any destination which lies within a particular mapped location as input, calculates the shortest path to that location, and takes the user to the destination without any external aid. The entire floor plan of the house is divided as grids and coordinates are identified. Two different implementation mechanisms are available: FPGA based VLSI implementation and Raspberry-Pi based Embedded System implementation. LARN algorithm – Location Awareness and Remembrance Navigation algorithm is designed using Djikstra’s shortest path algorithm to implement the auto-navigation functionality.  

Related Projects

Tech-based Health Monitoring & Awareness
Tech-based Health Monitoring & Awareness
Error Linear Complexity Measures for Multisequences
Error Linear Complexity Measures for Multisequences
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Admissions Apply Now