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HRI
2011
ACM
14 years 1 months ago
A comparison of machine learning techniques for modeling human-robot interaction with children with autism
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using han...
Elaine Short, David Feil-Seifer, Maja J. Mataric
38
Voted
IROS
2006
IEEE
80views Robotics» more  IROS 2006»
15 years 3 months ago
Faster and Smoother Walking of Humanoid HRP-2 with Passive Toe Joints
- This paper addresses the role of toe joints in increasing the walking speed of biped robots. It is worthy that adding a toe joint will increase the step length thanks to the addi...
Ramzi Sellaouti, Olivier Stasse, Shuuji Kajita, Ka...
79
Voted
TSMC
2008
162views more  TSMC 2008»
14 years 9 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
77
Voted
ICRA
2008
IEEE
138views Robotics» more  ICRA 2008»
15 years 4 months ago
Real-time (self)-collision avoidance task on a hrp-2 humanoid robot
— This paper proposes a real-time implementation of collision and self-collision avoidance for robots. On the basis of a new proximity distance computation method which ensures h...
Olivier Stasse, Adrien Escande, Nicolas Mansard, S...
72
Voted
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
15 years 4 months ago
Humanoid robot noise suppression by particle filters for improved automatic speech recognition accuracy
Automatic speech recognition on a humanoid robot is exposed to numerous known noises produced by the robot’s own motion system and background noises such as fans. Those noises i...
Florian Kraft, Matthias Wölfel