TY - CONF
T1 - Limpet: an Autonomous Bioinspired Robot for Environmental Monitoring
AU - Aracri, Simona
AU - Sayed, Mohammed
AU - Roberts, Jamie
AU - Mcconnell, Alistair
AU - Stokes, Adam
PY - 2018/9/2
Y1 - 2018/9/2
N2 - At present, the environmental water monitoring field faces the challenge to create new integrated systems capable of measuring key indicators of the water quality in real-time. Important parameters to monitor include turbidity, pH, conductivity, chlorine and dissolved oxygen levels. The encouraged technology needs to be low-cost, low-maintenance, autonomous, long living, responsive, sensitive and accurate. We introduce the Limpet, which is a sophisticated, low-cost immobile robot, capable of 9 different sensing modalities. We designed the Limpet to be robust in communication; it is compatible with different communication systems, such as Lora, Wi-Fi and acoustic. We can program the Limpet to take autonomous decisions, based on the trend of the monitored parameter. We present the first version of the Limpet, which can be employed in a large collective that has the potential to map the distribution of parameters, e.g. turbidity, and identify hot spots that require prompt action. One example would be the usage of the light-emitting diodes and light sensor on the Limpet to monitor turbidity levels in water.
AB - At present, the environmental water monitoring field faces the challenge to create new integrated systems capable of measuring key indicators of the water quality in real-time. Important parameters to monitor include turbidity, pH, conductivity, chlorine and dissolved oxygen levels. The encouraged technology needs to be low-cost, low-maintenance, autonomous, long living, responsive, sensitive and accurate. We introduce the Limpet, which is a sophisticated, low-cost immobile robot, capable of 9 different sensing modalities. We designed the Limpet to be robust in communication; it is compatible with different communication systems, such as Lora, Wi-Fi and acoustic. We can program the Limpet to take autonomous decisions, based on the trend of the monitored parameter. We present the first version of the Limpet, which can be employed in a large collective that has the potential to map the distribution of parameters, e.g. turbidity, and identify hot spots that require prompt action. One example would be the usage of the light-emitting diodes and light sensor on the Limpet to monitor turbidity levels in water.
KW - Environmental monitoring
KW - ORCA hub
KW - turbidity
KW - Water management
UR - https://www.efdelegates.ed.ac.uk/Registration/EventNotOpen.aspx?e=D6FE87EBC02A287917B5726FF45F52CD
M3 - Abstract
ER -