Robotic Shark Tools To Improve Your Everyday Lifethe Only Robotic Shar…
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작성자 Demetra 작성일24-08-07 06:27 조회9회 댓글0건관련링크
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Tracking Sharks With Robots
Scientists have been tracking sharks using robots for decades However, a new model is able to do this while tracking the animal. Biologists at Mote Marine Laboratory and engineers at Harvey Mudd College developed the system using off-the-shelf components.
It is a formidable gripping device that can withstand pull-off forces of 340 times its own weight. It also detects changes in objects and adjust its path in line with the changes.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUVs) are programmable robotic shark devices that, according to their design they can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a variety of sensors that record the water's parameters and map ocean geological features, sea floor habitats and communities, and more.
They are controlled by a surface vessel using Wi-Fi or acoustic links for sending data back to the operator. The AUVS is able to collect temporal or spatial data and can be used as a large team to cover more terrain quicker than a single vehicle.
Like their land counterparts, AUVs can navigate using GPS and a Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they have traveled from their beginning point. This positioning information, along with sensors for the environment that transmit data to the onboard computer systems, allow AUVs to travel on a planned trajectory without losing track of their destination.
When a research mission is completed After completing a research mission, the AUV will then float to the surface. It can be then recovered by the research vessel from which it was launched. A resident AUV can remain submerged for a long time and conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to announce its location using an GPS signal or acoustic beacon, which is transmitted to the surface ship.
Certain AUVs communicate with their operator constantly via an internet connection on the research ship. Scientists are able to continue their research on the ship while the AUV collects data under water. Other AUVs could communicate with their operators only at certain dates, like when they require fuel or monitor the health of their sensors.
Free Think claims that AUVs are not just used to collect data from oceanography but they can also be used to search for underwater resources, including minerals and gas. They can also be used for environmental disaster response to aid in rescue and search operations after tsunamis or oil spills. They can also be used to monitor volcanic activity in subsurface areas and monitor the condition of marine life, including whale populations and coral reefs.
Curious Robots
Contrary to traditional underwater robotics, which have been programmed to search only for one specific feature on the ocean floor, these curious underwater robots are designed so they can explore and adapt to changing circumstances. This is important, because the conditions below the waves is often unpredictable. For instance, if water suddenly warms up it could alter the behavior of marine creatures or even cause an oil spill. Curious robots are designed to swiftly and effectively detect these changes.
One group of researchers is developing a new robotic platform that uses reinforcement learning to train the robot to be curious about its surroundings. The robot, which looks like a child wearing a yellow jacket and a green arm, can be trained to spot patterns that could suggest an interesting discovery. It can also learn to make decisions about what it should do next in relation to the results of its previous actions. The results of the research could be used to develop an intelligent robot that can learn and adapting to the changing environment.
Scientists are also using robots to study areas that are dangerous for humans to dive. Woods Hole Oceanographic Institute's (WHOI), for example has a robot named WARP-AUV which is used to investigate shipwrecks and locate them. This robot is able detect reef creatures and discern jellyfish and semi-transparent fish from their dim backgrounds.
This is a feat of sheer brilliance considering that it takes a long time for a human brain to do this job. The brain of the WARP-AUV has been trained to recognize familiar species after a lot of images have been fed to it. The WARP-AUV is a marine detective which can also send live images of sea life and underwater scenes to supervisors on the surface.
Other teams are working to create robots that share the same curiosity as humans. A team from the University of Washington’s Paul G. Allen school of Computer Science & Engineering, for instance, is examining ways to help robots develop curiosity about their surroundings. This team is part of an Honda Research Institute USA initiative to develop machines that are curious.
Remote Missions
There are a lot of uncertainties in space missions that can lead to mission failure. Scientists aren't certain of what time the mission will take, how well parts of the spacecraft work or if other objects or forces will affect the spacecraft's operations. The Remote Agent software is designed to help reduce the uncertainty. It will perform many of the difficult tasks ground control personnel would perform if they were on DS1 at the time of the mission.
The Remote Agent software system includes a planner/scheduler, an executive, and model-based reasoning algorithms. The planner/scheduler generates a set of time-based, event-based activities known as tokens that are then delivered to the executive. The executive decides how to expand the tokens into a series of commands that are transmitted directly to spacecraft.
During the experiment during the test, during the test, a DS1 crew member will be available to monitor the progress of the Remote Agent and deal with any problems outside the scope of the test. All regional bureaus must adhere to Department requirements for records management and maintain all documentation associated with the establishment of the remote mission.
REMUS SharkCam
Sharks are mysterious creatures, and researchers have no idea about their activities beneath the ocean's surface. Scientists are piercing the blue veil by using an autonomous underwater vehicle known as the REMUS SharkCam. The results are both amazing and frightening.
The SharkCam team is a group of Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to observe and film great white sharks in their natural habitat. The 13 hours of video footage with the visuals of the acoustic tag that is attached to the sharks reveal much about their underwater behavior.
The REMUS sharkCam, developed by Hydroid in Pocasset MA, is designed to follow the location of animal that has been tagged without disrupting their behavior or alarming them. It uses an omnidirectional ultra-short baseline navigation system to determine the range, bearing and depth of the shark, then closes in at a predetermined distance and location (left right, right, above or below) to capture it swimming and interacting with its environment. It is able to communicate with scientists on the surface at intervals of 20 seconds and respond to commands to alter relative speed, depth or standoff distance.
State Refurbished Shark IQ Robot Vac: App-Controlled WiFi scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark researcher Edgar MauricioHoyos-Padilla of Mexico's Marine Conservation Society and REMUS SharkCam software developer Roger Stokey first envisioned tracking and filming great white sharks using the self emptying shark vacuum-propelled torpedo that they named REMUS SharkCam they were worried that it would disturb the sharks' movements and potentially cause them to flee from the area they were studying. Skomal together with his colleagues, reported in a recent article published in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites that weighed hundreds of thousands of pounds over the course of a week of research along the coast of Guadalupe.
The researchers interpreted the sharks interactions with REMUS SharkCam, which had been monitoring and recording the activities of four sharks that were tagged, as predatory behavior. They documented 30 shark interactions with the robot, including simple approaches, bumps and on nine occasions, aggressive bites from sharks which appeared to be aimed at REMUS.
Scientists have been tracking sharks using robots for decades However, a new model is able to do this while tracking the animal. Biologists at Mote Marine Laboratory and engineers at Harvey Mudd College developed the system using off-the-shelf components.
It is a formidable gripping device that can withstand pull-off forces of 340 times its own weight. It also detects changes in objects and adjust its path in line with the changes.Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUVs) are programmable robotic shark devices that, according to their design they can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a variety of sensors that record the water's parameters and map ocean geological features, sea floor habitats and communities, and more.
They are controlled by a surface vessel using Wi-Fi or acoustic links for sending data back to the operator. The AUVS is able to collect temporal or spatial data and can be used as a large team to cover more terrain quicker than a single vehicle.
Like their land counterparts, AUVs can navigate using GPS and a Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they have traveled from their beginning point. This positioning information, along with sensors for the environment that transmit data to the onboard computer systems, allow AUVs to travel on a planned trajectory without losing track of their destination.
When a research mission is completed After completing a research mission, the AUV will then float to the surface. It can be then recovered by the research vessel from which it was launched. A resident AUV can remain submerged for a long time and conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to announce its location using an GPS signal or acoustic beacon, which is transmitted to the surface ship.
Certain AUVs communicate with their operator constantly via an internet connection on the research ship. Scientists are able to continue their research on the ship while the AUV collects data under water. Other AUVs could communicate with their operators only at certain dates, like when they require fuel or monitor the health of their sensors.
Free Think claims that AUVs are not just used to collect data from oceanography but they can also be used to search for underwater resources, including minerals and gas. They can also be used for environmental disaster response to aid in rescue and search operations after tsunamis or oil spills. They can also be used to monitor volcanic activity in subsurface areas and monitor the condition of marine life, including whale populations and coral reefs.
Curious Robots
Contrary to traditional underwater robotics, which have been programmed to search only for one specific feature on the ocean floor, these curious underwater robots are designed so they can explore and adapt to changing circumstances. This is important, because the conditions below the waves is often unpredictable. For instance, if water suddenly warms up it could alter the behavior of marine creatures or even cause an oil spill. Curious robots are designed to swiftly and effectively detect these changes.
One group of researchers is developing a new robotic platform that uses reinforcement learning to train the robot to be curious about its surroundings. The robot, which looks like a child wearing a yellow jacket and a green arm, can be trained to spot patterns that could suggest an interesting discovery. It can also learn to make decisions about what it should do next in relation to the results of its previous actions. The results of the research could be used to develop an intelligent robot that can learn and adapting to the changing environment.
Scientists are also using robots to study areas that are dangerous for humans to dive. Woods Hole Oceanographic Institute's (WHOI), for example has a robot named WARP-AUV which is used to investigate shipwrecks and locate them. This robot is able detect reef creatures and discern jellyfish and semi-transparent fish from their dim backgrounds.
This is a feat of sheer brilliance considering that it takes a long time for a human brain to do this job. The brain of the WARP-AUV has been trained to recognize familiar species after a lot of images have been fed to it. The WARP-AUV is a marine detective which can also send live images of sea life and underwater scenes to supervisors on the surface.
Other teams are working to create robots that share the same curiosity as humans. A team from the University of Washington’s Paul G. Allen school of Computer Science & Engineering, for instance, is examining ways to help robots develop curiosity about their surroundings. This team is part of an Honda Research Institute USA initiative to develop machines that are curious.
Remote Missions
There are a lot of uncertainties in space missions that can lead to mission failure. Scientists aren't certain of what time the mission will take, how well parts of the spacecraft work or if other objects or forces will affect the spacecraft's operations. The Remote Agent software is designed to help reduce the uncertainty. It will perform many of the difficult tasks ground control personnel would perform if they were on DS1 at the time of the mission.
The Remote Agent software system includes a planner/scheduler, an executive, and model-based reasoning algorithms. The planner/scheduler generates a set of time-based, event-based activities known as tokens that are then delivered to the executive. The executive decides how to expand the tokens into a series of commands that are transmitted directly to spacecraft.
During the experiment during the test, during the test, a DS1 crew member will be available to monitor the progress of the Remote Agent and deal with any problems outside the scope of the test. All regional bureaus must adhere to Department requirements for records management and maintain all documentation associated with the establishment of the remote mission.
REMUS SharkCam
Sharks are mysterious creatures, and researchers have no idea about their activities beneath the ocean's surface. Scientists are piercing the blue veil by using an autonomous underwater vehicle known as the REMUS SharkCam. The results are both amazing and frightening.
The SharkCam team is a group of Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to observe and film great white sharks in their natural habitat. The 13 hours of video footage with the visuals of the acoustic tag that is attached to the sharks reveal much about their underwater behavior.
The REMUS sharkCam, developed by Hydroid in Pocasset MA, is designed to follow the location of animal that has been tagged without disrupting their behavior or alarming them. It uses an omnidirectional ultra-short baseline navigation system to determine the range, bearing and depth of the shark, then closes in at a predetermined distance and location (left right, right, above or below) to capture it swimming and interacting with its environment. It is able to communicate with scientists on the surface at intervals of 20 seconds and respond to commands to alter relative speed, depth or standoff distance.
State Refurbished Shark IQ Robot Vac: App-Controlled WiFi scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark researcher Edgar MauricioHoyos-Padilla of Mexico's Marine Conservation Society and REMUS SharkCam software developer Roger Stokey first envisioned tracking and filming great white sharks using the self emptying shark vacuum-propelled torpedo that they named REMUS SharkCam they were worried that it would disturb the sharks' movements and potentially cause them to flee from the area they were studying. Skomal together with his colleagues, reported in a recent article published in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites that weighed hundreds of thousands of pounds over the course of a week of research along the coast of Guadalupe.
The researchers interpreted the sharks interactions with REMUS SharkCam, which had been monitoring and recording the activities of four sharks that were tagged, as predatory behavior. They documented 30 shark interactions with the robot, including simple approaches, bumps and on nine occasions, aggressive bites from sharks which appeared to be aimed at REMUS.
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