Extending the Knowledge Driven Approach for Scalable Autonomy Teleoperation of a Robotic Avatar

Abstract

Crewed missions to celestial bodies such as Moon and Mars are in the focus of an increasing number of space agencies. Precautions to ensure a safe landing of the crew on the extraterrestrial surface, as well as reliable infrastructure on the remote location, for bringing the crew back home are key considerations for mission planning. The European Space Agency (ESA) identified in its Terrae Novae 2030+ roadmap, that robots are needed as precursors and scouts to ensure the success of such missions. An important role these robots will play, is the support of the astronaut crew in orbit to carry out scientific work, and ultimately ensuring nominal operation of the support infrastructure for astronauts on the surface. The METERON SUPVIS Justin ISS experiments demonstrated that supervised autonomy robot command can be used for executing inspection, maintenance and installation tasks using a robotic co-worker on the planetary surface. The knowledge driven approach utilized in the experiments only reached its limits when situations arise that were not anticipated by the mission design. In deep space scenarios, the astronauts must be able to overcome these limitations. An approach towards more direct command of a robot was demonstrated in the METERON ANALOG-1 ISS experiment. In this technical demonstration, an astronaut used haptic telepresence to command a robotic avatar on the surface to execute sampling tasks. In this work, we propose a system that combines supervised autonomy and telepresence by extending the knowledge driven approach. The knowledge management is based on organizing the prior knowledge of the robot in an object-centered context. Action Templates are used to define the knowledge on the handling of the objects on a symbolic and geometric level. This robot-agnostic system can be used for supervisory command of any robotic coworker. By integrating the robot itself as an object into the object-centered domain, robot-specific skills and (tele-)operation modes can be injected into the existing knowledge management system by formulating respective Action Templates. In order to efficiently use advanced teleoperation modes, such as haptic telepresence, a variety of input devices are integrated into the proposed system. This work shows how the integration of these devices is realized in a way that is agnostic to the input devices and operation modes. The proposed system is evaluated in the Surface Avatar ISS experiment. This work shows how the system is integrated into a Robot Command Terminal featuring a 3-Degree-of-Freedom Joystick and a 7-Degree-of-Freedom haptic input device in the Columbus module of the ISS. In the preliminary experiment sessions of Surface Avatar, two astronauts on orbit took command of the humanoid service robot Rollin' Justin in Germany. This work presents and discusses the results of these ISS-to-ground sessions and derives requirements for extending the scalable autonomy system for the use with a heterogeneous robotic team.