Research/ HUMAN-ROBOT TEAMING
Uncertainty-Aware Task Parameterization for Telerobotic Space Missions
Anne Köpken, Adrian Simon Bauer, Nesrine Batti, Timo Bachmann, Sant Brinkman, Jörg Butterfaß, Tristan Ehlert, Emiel Boudewijn den Exter, Werner Friedl, Thomas Gumpert, Philipp G. Knestel, Florian Samuel Lay, Xiaozhou Luo, Ajithkumar Narayanan Manaparampil, Luisa Mayershofer, Antonin Raffin, Anne E. Reichert, Nicole Roshardt, Annika Schmidt, Florian Schmidt, Daniel Seidel, Lioba Schürmann, Rute Luz, Peter Schmaus, Daniel Sebastian Leidner, Thomas E Kruger, Neal Y. Lii
Perception & State EstimationOpenAlex topic: Robotics and Sensor-Based Localization · HRI & TeleoperationOpenAlex keyword: telerobotics · Motion Planning & NavigationOpenAlex topic: Robotic Path Planning Algorithms
Robots are crucial for exploring distant celestial bodies. The Surface Avatar ISS-to-Earth Telerobotic Technology Demonstration Mission investigates how to command a heterogeneous team of robots from orbit using scalable autonomy. In this experiment series astronauts aboard the International Space Station (ISS) command a team of robots located on Earth. One challenge identified in these experiments is that the robot’s decision-making process is affected by environmental uncertainty especially for the robot’s pose estimation and navigation. Traditional planning algorithms assume perfect knowledge of the robot’s surroundings, neglecting the role of imperfect sensing. This paper addresses this limitation by developing an uncertainty-aware planning method and demonstrating its application to address perception inaccuracies in navigation, paving the way for its broader adoption in other domains. The proposed uncertainty aware planning framework is tested for localization and navigation by the humanoid robot Rollin’ Justin during a space-to-ground telerobotic experiment as part of the Surface Avatar mission.