Arbitrary trajectory foot planner for bipedal walking

© 2017 by SCITEPRESS - Science and Technology Publications, Lda. All Rights Reserved. This paper presents a foot planner algorithm for bipedal walking along an arbitrary curve. It takes a parametrically defined desired path as an input and calculates feet positions and orientations at each step. Number of steps that are required to complete the path depends on a maximum step length and maximum foot rotation angle at each step. Provided with results of the foot planner, our walking engine successfully performs robot locomotion. Verification tests were executed with AR601M humanoid robot

The Quasi-Passive Quadruped Robot walking: PASIQUAD

The design of the four legged walking robot "PASIQUAD" is presented in this article. It was designed in the university Carlos III of Madrid. It is a quadruped quasi-passive robot (with only one motor/actuator). The manuscript is focused on how the PASIQUAD walks and the kinematics and dynamics of the movement. In the manuscript the position, velocity and acceleration of each of its parts, as well as all the forces and torques on each of them, motor torque included, will be explain. The PASIQUAD robot copy the movement of animals and it is almost passive. That is a big advantage in energy cost

Static Balancing Control of Humanoid Robot based on Accelerometer

[[abstract]]A static balancing control method is proposed and implemented on a humanoid robot so that the robot can stand and balance on a plane. A small-size humanoid robot named TWNHR-IV with 26 degree-of-freedom (DOF) is implemented. A 3-axis accelerometer is installed on TWNHR-IV to obtain the x-axis, y-axis, and z-axis accelerations of TWNHR-IV. Based on the obtained information from the 3-axis accelerometer, a system structure with two two-input-and-one-output fuzzy systems is proposed. The acceleration and the accelerationpsilas variation of the x-axis obtained by the 3-axis accelerometer are considered to be the inputs of forward-and-backward fuzzy system. The acceleration and the accelerationpsilas variation of the y-axis are considered to be the inputs of right-and-left fuzzy system. Some practical tests are presented to illustrate the proposed method can let the humanoid robot stand and balance on a plane.[[conferencetype]]國際[[conferencelocation]]Tokyo, Japa

Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain

In this paper we tackle the problem of visually predicting surface friction for environments with diverse surfaces, and integrating this knowledge into biped robot locomotion planning. The problem is essential for autonomous robot locomotion since diverse surfaces with varying friction abound in the real world, from wood to ceramic tiles, grass or ice, which may cause difficulties or huge energy costs for robot locomotion if not considered. We propose to estimate friction and its uncertainty from visual estimation of material classes using convolutional neural networks, together with probability distribution functions of friction associated with each material. We then robustly integrate the friction predictions into a hierarchical (footstep and full-body) planning method using chance constraints, and optimize the same trajectory costs at both levels of the planning method for consistency. Our solution achieves fully autonomous perception and locomotion on slippery terrain, which considers not only friction and its uncertainty, but also collision, stability and trajectory cost. We show promising friction prediction results in real pictures of outdoor scenarios, and planning experiments on a real robot facing surfaces with different friction

TEO robot design powered by a fuel cell system

Versión pre-print (sin revisión por pares) del artículo publicado en Cybernetics and Systems: An International Journal (2012), 43(3), 163-180, accesible en linea: http://dx.doi.org/10.1080/01969722.2012.659977.This is an Author's Original Manuscript (non-peer reviewed) of an article published in Cybernetics and Systems: An International Journal (2012), 43(3), 163-180, available online: http://dx.doi.org/10.1080/01969722.2012.659977.This article deals with the design of the full-size humanoid robot TEO, an improved version of its predecessor Rh-1. The whole platform is conceived under the premise of high efficiency in terms of energy consumption and optimization. We will focus mainly on the electromechanical structure of the lower part of the prototype, which is the main component demanding energy during motion. The dimensions and weight of the robotic platform, together with its link configuration and rigidity, will be optimized. Experimental results are presented to show the validity of the design.The research leading to these results has received funding from the RoboCity2030-II-CM project (S2009/DPI-1559), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU

Study and Analysis of Design Optimization and Synthesis of Robotic ARM

A robot is a mechanical or virtual artificial agent, usually an electro-mechanical machine that is guided by a computer program or electronic circuitry. Robots can be autonomous or semi-autonomous. In this thesis, design optimization strategies and synthesis for robotic arm are studied. In the design process, novel optimization methods have been developed to reduce the mass of the whole robotic arm. The optimization of the robotic arm is conducted at three different levels, with the main objective to minimize the robot mass. At the first level, only the drive-train of the robotic arm is optimized. The design process of a robotic arm is decomposed into selection of components for the drive-train to reduce the weight At the second level, kinematic data is combined with the drive-train in the optimization. For this purpose, a dynamic model of the robot is required. Constraints are formulated on the motors, gearboxes and kinematic performance At the third level, a systematic optimization approach is developed, which contains design variables of structural dimensions, geometric dimensions and drive-train composes. Constraints are formulated on the stiffness and deformation. The stiffness and deformation of the arm are calculated through FEA simulation. The main objective of the thesis is to design optimization and synthesis analysis of robotic arm. The corresponding deflections, stresses and strains for that load will be find out by suing the method of finite element analysis