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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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Journal ArticleDOI
TL;DR: A novel approach for estimation of body segment parameters is formulated that uses state and output information from the robot system to improve these estimates and redundant sensors are used to improve the accuracy of the estimates.
Abstract: An an application of robotics in physical rehabilitation therapy, a robotic system consisting of two planar robot arms, each with two degrees of freedom, is considered. This robotic system, when coupled across a human joint, provides a vehicle for rehabilitation of the joint following surgery or trauma. A novel approach for estimation of body segment parameters is formulated that uses state and output information from the robot system to improve these estimates. In addition, redundant sensors are used to improve the accuracy of the estimates. The dynamic equations for a single robot arm are provided and the system is simulated. Therapeutic applications of the robotic system are discussed and the sensitivity of the measured forces with respect to the robot arm joint angles is studied in order to find an optimum orientation of the system for the best possible estimation. The application of this system to both rehabilitation and sports medicine is also discussed. >

65 citations

Proceedings ArticleDOI
05 Aug 1995
TL;DR: Research on a two-armed bipedal robot, an apelike robot, which can perform biped walking, rolling over and standing up, which is designed based on the remote-brained approach in which a robot does not bring its own brain within the body and talks with it by radio links.
Abstract: Focusing attention on flexibility and intelligent reactivity in the real world, it is more important to build, not a robot that won't fall down, but a robot that can get up if it does fall down. This paper presents research on a two-armed bipedal robot, an apelike robot, which can perform biped walking, rolling over and standing up. The robot consists of a head, two arms, and two legs. The control system of the biped robot is designed based on the remote-brained approach in which a robot does not bring its own brain within the body and talks with it by radio links. This remote-brained approach enables a robot to have both a heavy brain with powerful computation and a lightweight body with multiple joints. The robot can keep balance while standing using tracking vision, detect whether it falls down or not by a set of vertical sensors, and perform a getting up motion by coordinating two arms and two legs. The developed system and experimental results are described with illustrated real examples.

65 citations

Journal ArticleDOI
TL;DR: This work describes a robot that can move on a web of surfaces oriented around arbitrary directions in three-space and a set of control algorithms that implements motion inThree-dimensions by using the same set of physical resources and control algorithms.
Abstract: We wish for robots to manipulate objects and move flexibly in three-dimensional spaces. We describe a robot that can move on a web of surfaces oriented around arbitrary directions in three-space and a set of control algorithms that implements motion in three-dimensions. The robot can manipulate objects in three dimensions while moving, by using the same set of physical resources and control algorithms. This robot is an inchworm-like robot with a simple, modular, and flexible design. Finally, we discuss our experiments.

65 citations

Proceedings ArticleDOI
26 Jul 1993
TL;DR: This paper proposes a coordinate dynamic control method for the transfer of a common heavy object by several wheeled mobile robots that is formulated on the basis of the kinematics and the dynamics of the wheeling mobile robot.
Abstract: This paper proposes a coordinate dynamic control method for the transfer of a common heavy object by several wheeled mobile robots. The coupler, which comprises an active prismatic link and a passive rotary joint, is installed on each robot so that even an ordinary nonholomonic mobile robot with inferior mobility can correctly manipulate the object. A hierarchical coordinative control system composed of a leader and other staff robots is designed to synchronously control the motions of the robots under severe dynamic interactions. The leader robot successively defines the desired motion of the object along its reference trajectory and broadcasts the information to the staff robots. Each staff robot controls the motions of its own body and the onboard prismatic link so as to achieve the desired object behavior without sideways slippages. When the prismatic link approaches the limit for its movement, the staff robot requests the leader to temporarily modify the desired behavior of the object. The control algorithm is formulated on the basis of the kinematics and the dynamics of the wheeled mobile robot. Simulation results illustrate the validity of the method.

65 citations

Proceedings ArticleDOI
18 Apr 2005
TL;DR: An algorithm is presented that allows one to determine geometries of the robot ensuring that these positioning errors will lie within pre-specified limits for any pose of the robots in its workspace even if the physical realization of the Robot differs from the theoretical model while staying within the given manufacturing errors bounds.
Abstract: We are considering a n d.o.f. parallel robot that has to move within a given workspace and whose geometry is defined by a set of parameters. The motion of active joints of the manipulator are measured with sensors with a known accuracy ±Δρ. These errors together with bounded manufacturing errors on the parameters describing the geometry of the robot induces a positioning errors ΔX of the platform. We present an algorithm that allows one to determine geometries of the robot ensuring that these positioning errors will lie within pre-specified limits for any pose of the robot in its workspace even if the physical realization of the robot differs from the theoretical model while staying within the given manufacturing errors bounds. A by-product variant of this algorithm allows one to compute the maximal positioning errors of a given robot up to a predefined accuracy.

65 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20233
20227
202152
202060
201965
201877