Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
—Robot-based autism therapy is a rapidly developing area of research, with a wide variety of robots being developed for use in clinical settings. Specific, detailed requirements ...
Nicole Giullian, Daniel J. Ricks, Alan Atherton, M...
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
- It is important to identify how much the appearance of a humanoid robot affects human behaviors toward it. We compared participants' impressions of and behaviors toward two ...
Motion planning for humanoids faces several challenging issues: high dimensionality of the configuration space, necessity to address balance constraints in single and double suppo...
Humanoid agents can serve in a variety of activities ranging from hosts, to advisors and coaches, to teachers and to humous companions. This paper explores recent research in huma...
This paper reports a method that uses humanoid robots as a communication medium. There are many interactive robots under development, but due to their limited perception, their in...
in Proceedings of the 2000 IEEE International Conference on Robotics and Automation, San Francisco, April 2000 The augmented object model provided the basis for effective coopera...
Humanoid robot is expected as a rational form of machine to act in the real human environment and support people through interaction with them. Current humanoid robots, however, l...
We have been developing a software platform, called OpenHRP, for humanoid robotics which consists of a dynamic simulator and motion control library for humanoid robots. This paper...