Lidar Based Autonomously Navigating Robot

Automation is revolutionising many industries, including healthcare. Autonomous vehicles are now more or less a reality. In the current clinical scenario, the role of automated vehicles has increased the efficiency and reliable transport of commodities to desired places. Automated systems are preferred as risk of transmission of highly infectious diseases are reduced. It also reduces wastage of human resources, thus saving time. The main aim of the work, LiDAR BASED AUTONOMOUSLY NAVIGATING ROBOT is to build an automated trolley to deliver medicines and necessary items to patients inwards without direct contact between patients and health care workers. It has innumerous benefits in geriatric healthcare. It can reduce the risk of falls and injuries by minimising the need for elderly patients to move around the hospital or care facility. The timely delivery of medicines and meals can be ensured, minimising missed doses or delayed meals. The robot can also help relieve the workload of nursing staff, allowing them to focus on direct patient care. Additionally, the robot's autonomous navigation can be programmed to avoid obstacles and adapt to changing environments, making it a safe and reliable option for elderly patients. The use of LiDAR technology can also enable the robot to accurately detect and navigate around obstacles, making it a valuable tool for ensuring patient safety. The trolley utilises a LiDAR for mapping as well as obstacle detection and raspberry pi for processing information obtained from LiDAR, Arduino Mega for controlling the movement of wheels and a motor driver for controlling the speed of trolley. The automated trolley proposed in this work will bring an elevating change in the healthcare sector.