Topic
Humanoid robot
About: Humanoid robot is a research topic. Over the lifetime, 14387 publications have been published within this topic receiving 243674 citations. The topic is also known as: 🤖.
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07 Aug 2002TL;DR: OpenHRP is expected to initiate the exploration of humanoid robotics on an open architecture software and hardware, due to the unification of the controllers and the examined consistency between the simulator and a real humanoid robot.
Abstract: This paper introduces an open architecture humanoid robotics platform (OpenHRP) on which various building blocks of humanoid robotics can be investigated. OpenHRP is a virtual humanoid robot platform with a compatible humanoid robot, and consists of a simulator of humanoid robots and motion control library for them which can also be applied to a compatible humanoid robot as it is. OpenHRP is expected to initiate the exploration of humanoid robotics on an open architecture software and hardware, due to the unification of the controllers and the examined consistency between the simulator and a real humanoid robot.
118 citations
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10 Nov 2003TL;DR: The new mental model of a human-like head robot THE AUTHORS-4 is described, which realizes the expression of mental transition caused by the stimuli from the internal and external environment of the robot.
Abstract: The authors have been developing human-like head robots in order to develop new head mechanisms and functions for a humanoid robot that has the ability to communicate naturally with a human by expressing human-like emotion. Furthermore, the interaction between humans and robots is one of the essential factors for the Neuro-Robotics. We believed that the Mental Dynamics caused by the stimuli from the internal and external environment is important in expressing emotion. Therefore, we newly developed a human-like head robot WE-4 (Waseda Eye No.4) in 2002. The "Learning System", the "Mood Vector" and the "Second Order Equations of Emotion" were introduced to the mental model of the robot. Moreover, an internal clock was introduced as an autonomic nerve system to express the activation component of the Mood Vector. And, we realized the expression of mental transition caused by the stimuli from the internal and external environment of the robot. In this paper, we describe the new mental model of a human-like head robot WE-4.
117 citations
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20 Jul 2003TL;DR: A novel architecture called embodied theory of mind was developed to link high-level cognitive skills to the low-level perceptual abilities of a humanoid robot.
Abstract: Human social dynamics rely upon the ability to correctly attribute beliefs, goals, and percepts to other people. The set of abilities that allow an individual to infer these hidden mental states based on observed actions and behavior has been called a "theory of mind". Drawing from the models of Baron-Cohen (1995) and Leslie (1994), a novel architecture called embodied theory of mind was developed to link high-level cognitive skills to the low-level perceptual abilities of a humanoid robot. The implemented system determines visual saliency based on inherent object attributes, high-level task constraints, and the attentional states of others. Objects of interest are tracked in real-time to produce motion trajectories which are analyzed by a set of naive physical laws designed to discriminate animate from inanimate movement. Animate objects can be the source of attentional states (detected by finding faces and head orientation) as well as intentional states (determined by motion trajectories between objects). Individual components are evaluated by comparisons to human performance on similar tasks, and the complete system is evaluated in the context of a basic social learning mechanism that allows the robot to mimic observed movements.
117 citations
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TL;DR: This paper addresses walking pattern synthesis and sensory feedback control for humanoid stair climbing and the effectiveness of the proposed method was confirmed by walking experiments on a 32-degree-of-freedom humanoid robot.
Abstract: Stable and robust walking in various environments is one of the most important abilities for a humanoid robot. This paper addresses walking pattern synthesis and sensory feedback control for humanoid stair climbing. The proposed stair-climbing gait is formulated to satisfy the environmental constraint, the kinematic constraint, and the stability constraint; the selection of the gait parameters is formulated as a constrained nonlinear optimization problem. The sensory feedback controller is phase dependent and consists of the torso attitude controller, zero moment point compensator, and impact reducer. The online learning scheme of the proposed feedback controller is based on a policy gradient reinforcement learning method, and the learned controller is robust against external disturbance. The effectiveness of our proposed method was confirmed by walking experiments on a 32-degree-of-freedom humanoid robot.
117 citations
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07 Aug 2002TL;DR: This paper describes an online method generating walking patterns for biped humanoid robots having a trunk that is based on the ZMP trajectory and the motion of the lower-limbs.
Abstract: This paper describes an online method generating walking patterns for biped humanoid robots having a trunk. Depending on the walking command, the motion patterns of the lower-limbs are created and connected to the prewalking patterns smoothly in online. For the stability of the biped robots, the trunk and the waist motion is generated by a walking stabilization control that is based on the ZMP trajectory and the motion of the lower-limbs. Experimental tests of versatile biped walking on a plane surface are conducted using an auditory interface, and the validity of the online pattern generation method is verified.
117 citations