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Humanoid robotics hardware and control techniques have advanced rapidly during the last five years. Presently, several companies are developing commercial prototype full-body humanoid robots. This humanoid technology will contribute to the development of sophisticated prostheses in the medical field, as well as human augmentation systems on the military(More)
We present an algorithm for planning safe navigation strategies for biped robots moving in obstacle-cluttered environments. From a discrete set of plausible statically-stable, single-step motions, a forward dynamic programming approach is used to compute a sequence of feasible footstep locations. In contrast to existing navigation strategies for mobile(More)
This paper describes the development of a Plane Segment Finder, which is able to detect three-dimensional planar surfaces from input images in real-time. We propose an algorithm for detecting plane segments, that includes 1) Plane segment candidate extraction using 3D Hough Transformation from depth map information, 2) Fitting the plane segment candidates(More)
— We have been promoting a project of musculoskele-tal humanoids. The project aims at the long-term goal of human-symbiotic robots as well as the mid-term goal of necessary design and control concepts for musculoskeletal robots. This paper presents the concepts and aim of the project and also shows the outline of our latest results about development of new(More)
This paper presents the concepts, issues on development, and future perspectives of a novel musculoskeletal humanoid `Kotaro'. The specifications and advantages of Kotaro include muscle-driven endoskeletal structure, multiple degrees of freedom, variable physical softness, the multiple-joint spine, easily configurable muscles, distributed onbody(More)
We present an online algorithm for planning sequences of footstep locations that encode goal-directed navigation strategies for humanoid robots. Planning footsteps is more general than most existing navigation methods designed for wheeled robots, since the options of stepping over or upon obstacles in a cluttered terrain are available. Given a discrete set(More)
Bchavior imitation ability will he a key technology for future human friendly robots. In order to understand the principles and mechanisms of imitation, we take B synthet,ic cognitive developmental approach, starting with minimum components and create a system that can learn to imitate others. We developed a visuo-motor neural learning system which consists(More)
In this paper, we describe a planner for a humanoid robot that is capable of finding a path in an environment with movable objects, whereas previous motion planner only deals with an environment with fixed objects. We address an environment manipulation problem for a humanoid robot that finds a walking path from the given start location to the goal location(More)
| A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall system is model based and integrated at the symbolic(More)