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: 🤖.
Papers published on a yearly basis
Papers
More filters
10 Apr 2007
TL;DR: It is confirmed that the proposed pattern generator can make the robot walk as desired in dynamics simulations and experiments, and the motions can be improved by a hand position control and using waist joints.
Abstract: This paper presents a motion pattern generator of humanoid robots that walks on a flat plane, steps and a rough terrain. It is guaranteed rigorously that the desired contact between a humanoid robot and terrain should be maintained by keeping the contact wrench sum between them inside the contact wrench cone under the sufficient friction assumption. A walking pattern is generated by solving the contact wrench equations and by applying the resolved momentum control.
72 citations
TL;DR: A syntactic approach to imitation learning that captures important task structures in the form of probabilistic activity grammars from a reasonably small number of samples under noisy conditions and can be recursively applied to help recognize unforeseen, more complicated tasks that share underlying structures.
72 citations
03 May 2010
TL;DR: The proposed Grasp-RRT planner combines the three main tasks needed for grasping an object: finding a feasible grasp, solving the inverse kinematics and searching a collision-free trajectory that brings the hand to the grasping pose.
Abstract: In this work, we present an integrated planner for collision-free single and dual arm grasping motions. The proposed Grasp-RRT planner combines the three main tasks needed for grasping an object: finding a feasible grasp, solving the inverse kinematics and searching a collision-free trajectory that brings the hand to the grasping pose. Therefore, RRT-based algorithms are used to build a tree of reachable and collision-free configurations. During RRT-generation, potential grasping positions are generated and approach movements toward them are computed. The quality of reachable grasping poses is scored with an online grasp quality measurement module which is based on the computation of applied forces in order to diminish the net torque.We also present an extension to a dual arm planner which generates bimanual grasps together with corresponding dual arm grasping motions. The algorithms are evaluated with different setups in simulation and on the humanoid robot ARMAR-III.
72 citations
01 Jan 2000
TL;DR: This paper presents motion synthesis of dance movements for a humanoid robot, and interactive behavior for catching, which generates ball-glove impact predictions and intercept motion trajectories for a real time catching task.
Abstract: We focus on creating realistic, adaptable movement for humanoid robots and virtual characters. Here we present motion synthesis of dance movements for a humanoid robot, and interactive behavior for catching. Our approach to motion generation includes collection of example human movements, handling of marker occlusion, extraction of motion parameters, and trajectory generation, all of which must be handled in such a way as to be faithful to the style of the original movements. In our interactive behavior, we generate ball-glove impact predictions and intercept motion trajectories for a real time catching task. In this paper we present our results and discuss ideas for future improvements.
72 citations
01 Oct 2016
TL;DR: This third volume in The Cambridge Handbooks in Construction Robotics series discusses the STCRs employed on construction sites since the development of the approach in the 1980s, presents current applications, and highlights upcoming trends in the construction automation and robotics field.
Abstract: Learn how Single-Task Construction Robots (STCRs) can improve productivity in the construction industry with this cross-disciplinary text. This third volume in The Cambridge Handbooks in Construction Robotics series discusses the STCRs employed on construction sites since the development of the approach in the 1980s, presents current applications, and highlights upcoming trends in the construction automation and robotics field. Two hundred different types of STCR are presented, from the simplest models comprising simple manipulators and mobile platforms, to those utilizing more sophisticated technologies such as aerial robotics, swarm robotics, exoskeletons, additive manufacturing technologies, self-assembling building structures, and humanoid robotics. Real-world case studies demonstrate the different application scenarios for each approach, and highlight the key implementation and management issues. With an easy-to-follow structure, and including hundreds of color illustrations, it provides an excellent toolkit for professional engineers, researchers, and students.
72 citations