Design and Implementation of Healthcare Assistive Robot P. Shubha, M. Meenakshi 2019 5th International Conference on Advanced Computing and Communication Systems Icaccs 2019, 2019 The proposed work in this paper mainly focuses on the design and development of the assistive robot for the disabled and the patients in need. This work addresses the challenges of the robotic field to improve the supply of health care services to patients in the upcoming development. The assistive robot developed in this work includes both hardware and software design. The combination of the IR sensors, real time clock (RTC) and microcontroller manages the overall operation of the system. Hardware includes grippers with flexible arm which is used to pick and place operations and the sensors are used for the detection of an action. IR sensors are used for obstacle detection, range determination and obstacle avoidance. In order to validate the designed hardware and software a case study of assisting the bed ridden patient by delivering medicines on time is considered so that more importance is given to nursing care residents. Experimental results demonstrated its proper functioning by delivering prescribed tablets by automatically moving towards the patient as per the timeline indicated in real time, which is demonstrated using developed prototype model.
Design and Implementation of Low Cost Robot Path planner P. Shubha, M. Meenakshi Proceedings of the 2018 International Conference on Current Trends Towards Converging Technologies Icctct 2018, 2018 This paper proposes an efficient technique to design a low cost robot path planner and its implementation. Here a prototype robot has been developed using Arduino platform, compass and IR sensors. For the communication between the modules Bluetooth and Zigbee are used. path planner is implemented using shortest path algorithm developed in MATLAB. The functioning of the designed robot is tested experimentally assuming known source and destination. It is found that the robot successfully reaches the target by identifying the suitable path without any disturbances. The efficacy of the designed robot is tested by repeating the experiment multiple times successfully.
Buildings detection from very high resolution satellite images using segmentation and morphological operations Roopa E., Ramachandra Hebbar, Shubha P. Proceedings 2018 International Conference on Design Innovations for 3cs Compute Communicate Control Icdi3c 2018, 2018 Extraction of high0resolution satellite image buildings is difficult task for researchers in remote sensing area. In the proposed work Region Growing Segmentation, morphological operations and perceptual0grouping techniques are developed and to detect the buildings in high spatial0resolution images. The necessary algorithm for the implementation of0Region growing segmentation is developed using MATLAB0software and its performance is tested by inputting several images. It is founded that0the proposed algorithm successfully detect the rectangular building footprints. The efficacy of the designed algorithm is tested by0repeating the experiment multiple times successfully.