Topic
Articulated robot
About: Articulated robot is a research topic. Over the lifetime, 4364 publications have been published within this topic receiving 52442 citations.
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TL;DR: The reconfigurable robot platform will provide us with greater freedom in terms of robot style, and it will provide a broader range of application fields, especially for the robot entertainment systems.
37 citations
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01 Oct 2013
TL;DR: Results of an experimental study conducted with three different NAO robots in the authors' office show that the proposed system is operational and usable in domestic environments and demonstrates that the navigation system could become a standard feature for their robots.
Abstract: In this paper, we put forward a method for humanoid robot indoor localization and navigation, using 2D bar codes, running on embedded hardware. Our approach is based on camera image processing and the detection of 2D bar codes stuck to the walls. The particularities of our approach are: it works without odometry, fast localization (≈1s) that allows for kidnapping and falls, and it does not require the manual edition of a map (thus no extra computer is needed).
37 citations
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TL;DR: This paper introduces a new approach to control a robot manipulator in a way that is safe for humans in the robot's workspace and presents a human-friendly robot controller that is under development for a Barrett Whole Arm Manipulator robot.
Abstract: This paper introduces a new approach to control a robot manipulator in a way that is safe for humans in the robot‘s workspace. Conceptually the robot is viewed as a tool with limited autonomy. The limited perception capabilities of automatic systems prohibits the construction of failsafe robots of the capability of people Instead, the goal of our control paradigm is to make the interaction with a robot manipulator safe by making the robot‘s actions predictable and understandable to the human operator. At the same time the forces the robot applies with any part of its body to its environment have to be controllable and limited. Experimental results are presented of a human-friendly robot controller that is under development for a Barrett Whole Arm Manipulator robot.
37 citations
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29 Apr 2003TL;DR: In this paper, the authors presented a robot consisting of a main robot body and at least three legs mounted on this main body for enabling three-dimensional movement of the robot body such as self-erecting action or walking action.
Abstract: An object of the present invention is to obtain a robot provide a robot having various functions that are demanded for planetary landing vehicles, extreme operations robots or the like, in particular to provide a leg structure for a robot that is capable of getting up itself when overturned, facilitating take-off and landing on uneven ground, and that has a walking function and that has a hand function capable of three-dimensional operation. According to the present invention, a robot comprises a main robot body and at least three legs mounted on this main body for enabling three-dimensional movement of the main robot body such as a self-erecting action or walking action; each leg is constituted by a multi-joint arm having a plurality of said offset rotary joints linked together and has a ground-engaging member mounted at the leading end of the arm, so that each leg is capable of independently controlled three-dimensional movement and drive.
36 citations
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01 Nov 2013
TL;DR: This paper simultaneously record the movements of two humans engaged in on-going interaction tasks and learn compact models of the interaction that can thereafter be used by a robot to engage in a similar interaction with a human partner.
Abstract: In this paper we present a new approach for learning responsive robot behavior by imitation of human interaction partners. Extending previous work on robot imitation learning, that has so far mostly concentrated on learning from demonstrations by a single actor, we simultaneously record the movements of two humans engaged in on-going interaction tasks and learn compact models of the interaction. Extracted interaction models can thereafter be used by a robot to engage in a similar interaction with a human partner. We present two algorithms for deriving interaction models from motion capture data as well as experimental results on a humanoid robot.
36 citations