TY - CHAP
T1 - Perceptual Robotics
AU - Bulthoff, Heinrich
AU - Wallraven, Christian
AU - Giese, Martin A.
N1 - Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.
PY - 2016
Y1 - 2016
N2 - Robots that share their environment with humans need to be able to recognize and manipulate objects and users, perform complex navigation tasks, and interpret and react to human emotional and communicative gestures. In all of these perceptual capabilities, the human brain, however, is still far ahead of robotic systems. Hence, taking clues from the way the human brain solves such complex perceptual tasks will help to design better robots. Similarly, once a robot interacts with humans, its behaviors and reactions will be judged by humans – movements of the robot, for example, should be fluid and graceful, and it should not evoke an eerie feeling when interacting with a user. In this chapter, we present Perceptual Robotics as the field of robotics that takes inspiration from perception research and neuroscience to, first, build better perceptual capabilities into robotic systems and, second, to validate the perceptual impact of robotic systems on the user.
AB - Robots that share their environment with humans need to be able to recognize and manipulate objects and users, perform complex navigation tasks, and interpret and react to human emotional and communicative gestures. In all of these perceptual capabilities, the human brain, however, is still far ahead of robotic systems. Hence, taking clues from the way the human brain solves such complex perceptual tasks will help to design better robots. Similarly, once a robot interacts with humans, its behaviors and reactions will be judged by humans – movements of the robot, for example, should be fluid and graceful, and it should not evoke an eerie feeling when interacting with a user. In this chapter, we present Perceptual Robotics as the field of robotics that takes inspiration from perception research and neuroscience to, first, build better perceptual capabilities into robotic systems and, second, to validate the perceptual impact of robotic systems on the user.
KW - Action Recognition
KW - Humanoid Robot
KW - Object Recognition
KW - Object Representation
KW - Recognition Performance
UR - http://www.scopus.com/inward/record.url?scp=85136954127&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-32552-1_78
DO - 10.1007/978-3-319-32552-1_78
M3 - Chapter
AN - SCOPUS:85136954127
T3 - Springer Handbooks
SP - 2095
EP - 2114
BT - Springer Handbooks
PB - Springer Science and Business Media Deutschland GmbH
ER -