Robotic Shark's History Of Robotic Shark In 10 Milestones

Tracking Sharks With Robots

Scientists have been tracking sharks with robots for a long time However, a new model is able to do this while tracking the animal. Biologists from Mote Marine Laboratory and engineers at Harvey Mudd College developed the system using components from the shelf.

It has serious gripping power that can withstand pull-off forces that are 340 times its own weight. It can also sense and adjust its route according to the changes in objects around the home.

Autonomous Underwater Vehicles

Autonomous underwater vehicles (AUVs) are robots that are programmable and dependent on their design, can drift, drive or glide through the ocean without real-time control from human operators. They come with sensors that can record water parameters, explore and map ocean geological features as well as habitats, and more.

They are controlled by a surface ship with Wi-Fi or acoustic connections to send data back to the operator. AUVS are able to collect spatial or temporal data and can be deployed as a large team to cover a larger area more quickly than a single vehicle.

Like their land counterparts, AUVs can navigate using GPS and the Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they have been from where they started. This information, along with sensors in the environment that transmit information to computers onboard, allow AUVs to follow their planned trajectory without losing sight of their goal.

After completing a mission, the AUV will float up to the surface. It can be retrieved by the research vessel from which it was launched. A resident AUV could remain submerged for a long time and perform periodic inspections programmed. In either scenario, an AUV will periodically surface to transmit its location via an GPS or acoustic signal which is transmitted to the surface vessel.

Certain AUVs are able to communicate with their operators constantly via a satellite connection on the research vessel. This allows scientists to continue to conduct experiments from the ship while the AUV is away collecting data under water. Other AUVs communicate with their owners at certain times. For example, when they need to refuel their sensors or verify their status.

Free Think says that AUVs are not just used to collect oceanographic data but also to search underwater resources, such as minerals and gas. They can also be utilized in response to environmental disasters, such as tsunamis or oil spills. They can also be used to monitor subsurface volcano activity and also the conditions of marine life, like coral reefs or whale populations.

Curious Robots

In contrast to traditional underwater robots, which are preprogrammed to look for a single characteristic of the ocean floor, curious robots are designed to look around and adapt to changing conditions. This is important because the environment beneath the waves can be unpredictable. If the water suddenly gets hot, this could affect the behavior of marine animals or even cause an oil spill. Robots that are curious are able to detect these changes quickly and effectively.

One team of researchers is developing a new robotic platform that uses reinforcement learning to teach a robot to be curious about its surroundings. The robot, which looks like a child wearing yellow jacket and a green arm can be taught to spot patterns that could indicate an interesting discovery. It is also able to make decisions about what it should do next in relation to the results of its previous actions. The results of this research could be used to develop a robot that is capable of learning on its own and adapting to changing environments.

Scientists are also using robots to explore parts that are too dangerous for humans to dive. Woods Hole Oceanographic Institute's (WHOI) for instance has a robot named WARP-AUV that is used to study shipwrecks and find them. The robot can recognize reef creatures, and even discern semi-transparent jellyfish and fish from their dark backgrounds.

This is a feat of sheer brilliance considering that it takes a long time to train a human being to perform this task. The brain of the WARP-AUV has been trained recognize familiar species after a lot of images have been fed into it. The WARP-AUV is a marine forensics device that also sends live images of sea creatures and underwater scenery to supervisors on the surface.

Other teams are working on robots that learn with the same curiosity humans do. A team from the University of Washington's Paul G. Allen school of Computer Science & Engineering, for instance, is looking at how to teach robots curiosity about their surroundings. This group is part of a three-year program by Honda Research Institute USA to develop machines that are curious.

Remote Missions

A myriad of uncertainties could result in the possibility of a mission failing. Scientists aren't certain of how long mission events will take, how well certain parts of the spacecraft will function and if any other forces or objects could interfere with the spacecraft's operation. The Remote Agent software is intended to reduce the uncertainty by completing many of the complex tasks that ground personnel would be able to perform if they were present on DS1 during the mission.

The Remote Agent software system consists of a planner/scheduler, as well as an executive. It also incorporates models-based reasoning algorithms. The planner/scheduler generates a list of time-based, event-based activities known as tokens which are sent to the executive. The executive decides on how to transform the tokens into an array of commands that are sent directly to spacecraft.

During the test, a DS1 crew member will be on hand to monitor the progress of the Remote Agent and deal with any issues that are not within the scope of the test. Regional bureaus must adhere to Department guidelines for records management and keep all documentation related to the establishment of a remote mission.

SharkCam by REMUS

Researchers have no idea of the activities of sharks beneath the surface. Scientists are piercing the blue barrier using an autonomous underwater vehicle known as the REMUS SharkCam. The results are both astonishing and terrifying.

The SharkCam Team, a group of scientists from Woods Hole Oceanographic Institution took the SharkCam, a torpedo shaped camera that was taken to Guadalupe Island to track and film white great sharks in their natural habitat. The resultant 13 hours of video footage as well as images from acoustic tags that are attached to sharks, provide much about the underwater behavior of these predators.

The REMUS sharkCam, developed by Hydroid in Pocasset MA it was designed to track the location of a tagged animals without disturbing their behavior or alarming them. It uses an ultra-short navigation device that determines the distance, bearing, and depth of the animal. Then, it closes in on the shark with a predetermined distance and position (left or right above or below,) and captures its swimming and interaction with its surroundings. It communicates with scientists on the surface every 20 seconds and can accept commands to change its relative speed or depth, as well as standoff distance.

State Shark IQ Robot Vacuum: Self-Cleaning Advanced Navigation scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark researcher Edgar Mauricio Hoyos-Padilla of Mexico's Marine Conservation Society and REMUS SharkCam software creator Roger Stokey first envisioned tracking and filming great whites with the self-propelled torpedo that they named REMUS SharkCam They were concerned that it could disrupt the sharks' movements and potentially make them flee the area they were studying. In a recent article published in the Journal of Fish Biology, Skomal and his coworkers report that despite nine bites and bumps from great whites that weighed thousands of pounds during a week of study off the coast of Guadalupe the SharkCam was able to survive and revealed some fascinating new behaviors about the great white Next-gen Shark UR2500SR: AI Ultra Robot Vacuum.

Researchers interpreted the interactions between sharks and the REMUS SharkCam (which was able to track four sharks tagged) as predatory behavior. They documented 30 shark interactions with the robot including bumps, simple approaches and, on nine occasions, aggressive bites from sharks that appeared to be targeting REMUS.