Title :
Comprehension and prediction of astronaut dynamics
Author :
Benjamin, D. Paul ; Monaco, John Vincent ; Lin, Yixia ; Lyons, Damian M.
Author_Institution :
Pace Univ., New York, NY, USA
Abstract :
A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot´s visual data is registered with the virtual world to construct a model of the astronauts´ dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
Keywords :
aerospace robotics; astronomy computing; cognitive systems; human-robot interaction; solid modelling; virtual reality; 3D virtual world; astronaut dynamics; human robot interaction; physics engine; Adaptation model; Automata; Cognition; Robot sensing systems; Semantics; Visualization;
Conference_Titel :
Aerospace Conference, 2011 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-7350-2
DOI :
10.1109/AERO.2011.5747551
