Engineering 101

The Future Of Planetary Exploration With Remote Robots

An astronaut on board the International Space Station remotely operated a humanoid robot to inspect and repair a solar farm on Mars in late August.

Or at least a simulated Mars environment.

This case is a room with rust-colored floors, walls, and curtains at the German Aerospace Center, or DLR, in Oberpfaffenhofen.

European Space Agency astronaut, Paolo Nespoli commanded the humanoid, called Rollin’ Justin.

As the robot performed a series of navigation, maintenance, and repair tasks.

Nespoli used a tablet computer to issue high level commands to the robot.

In one task, he used the tablet to position the robot and have it take pictures from different angles.

Another command instructed Justin to grasp a cable and connect it to a data port.

Roboticists call this approach ‘supervised autonomy’, and it offers a number of advantages over either full autonomy (in which the robot attempts to do everything on its own) and direct teleoperation (in which the astronaut needs to control every movement of the robot).

Supervised autonomy is a robust way of handling unexpected errors and limitations like communication delays.

The astronaut acts a supervisor of the robot, and if the robot gets stuck, the human can help it complete the task.

“This concept relies on the robot’s local intelligence to reason and plan the commanded tasks,” said Dr. Neal Y. Lii, the experiment’s principal investigator at DLR’s Robotics and Mechatronics Center.

He explained that this allows the operator to carry out tasks without the cognitive strain and pressure of an immersive telepresence system with haptic feedback and visual servo control.

“The robot’s intelligence always keeps the robot in a safe state so that it can wait for the feedback and command from the astronaut.”

The experiment, called SUPVIS Justin, is part of ESA’s Multi-Purpose End-To-End Robotic Operation Network, or METERON project.

The goal is to develop advanced human-robot collaboration capabilities to help with future planetary exploration missions.

For example, if humans decide to go to Mars, they’ll need to build and maintain habitats and other infrastructure on the surface of the planet, and robots could be a huge help.

Before landing, astronauts would remain in orbit and send robots to the surface to work on the needed infrastructure.

ESA, and NASA, too, appear to believe that this is the only realistic option to bring humans to Mars.

Hence the mock Martian solar farm at DLR.

In the experiment, Italian astronaut Nespoli performed two sequences of tasks, or protocols.

He used the robot to perform a solar panel unit inspection and reboot mission.

In the second protocol, he performed a system software upgrade mission.

Nespoli went through the two protocols so efficiently that, with some time left, he offered a surprise to the DLR team on the ground.

He invited his American colleagues Jack Fischer and Randy Bresnik to try the experiment as well.

Although they had never trained to use the tablet interface, the two NASA astronauts were able to complete some of the tasks without difficulty.

Dr. Lii says two more SUPVIS Justin sessions are scheduled.

For the next experiment, his team will make improvements to the tablet’s user interface as well as the robot’s functionalities based on the experience of the ISS crew.

“At the same time, we will increase the task complexity and difficulty with each successive experiment session to get a view into the performance envelope we can expect from the astronauts,” he said.

In the future, they also plan to test telepresence systems that offer a more immersive experience, because such systems might be necessary during certain missions.

“This allows the user to move between using the robot as a coworker  in supervised autonomy form, or as a haptically coupled physical extension on location,” Dr. Lii said.

“Ultimately, our hope is to assemble a benchmark/guideline/playbook for designing intuitive space robotic teleoperation systems.”

Source IEEE Spectrum

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