Design and Development of a Low Cost Rescue Robot With Environmental Adaptability

Ravendran, Ahalya; Ponpai, Poom; Yodvanich, Parinthorn; Faichokchai, Wimonsiri; Hsu, Chung-Hao

doi:10.1109/icsse.2019.8823116

Cited by 8 publications

(1 citation statement)

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“…The need for these robots throughout the whole catastrophe life cycle is anticipated to rise as a result of the increasing effects of both man-made and natural disasters [13,14]. The disasters type robots contain unmanned ground vehicles that carry various sensors [15][16][17] unmanned aerial vehicles (UAVs) that may deliver aerial support for disaster response operations [18][19][20], and unmanned marine vehicles that can perform underwater inspections [21]. Though most of these robots are controlled by humans, semi-autonomous systems diminish the requirement for minimal control [22,23].…”

Section: Introductionmentioning

confidence: 99%

Wireless vision-based digital media fixed-point DSP processor depending robots for natural calamities

Mary Joans,

Gomathi,

Ponsudha

2024

Robotica

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Natural calamities are affecting many parts of the world. Natural disasters, terrorist attacks, earthquakes, wildfires, floods and all unpredicted phenomena. Disasters cause emergency conditions, so imperative to coordinate the prompt delivery of essential services to the sufferers. Often, disasters lead many people to perish by becoming trapped inside, but many more also perish as a result of individuals receiving rescue either too late or not at all. The implementation and design of a Receiver module utilizing Davinci code processor DVM6437, Wireless camera receiver, Zigbee Transceiver and Global Positioning System (GPS) is proposed in this manuscript for Wireless Vision-based Semi-Autonomous rescue robots that are employed in rough terrain. The receiver side’s Zigbee transceiver module eliminates the limitations of tele-operating rescue robots by enabling the control station to receive GPS data signals and aids in robot management by sending control signals wirelessly. Half and full-duplex communication are supported by the Davinci processor DVM6437, a digital media fixed-point DSP processor that relies on Very Long Instruction Words. It includes an extensive instruction set that is ideal for real-time salvage operations. DVM processor is coded utilizing MATLAB Simulink. MATLAB codes and Simulink blocks are employed under Embedded IDE link.

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