scholarly journals Research on sports planning and stability control of humanoid robot table tennis

2020 ◽  
Vol 17 (1) ◽  
pp. 172988142090596
Author(s):  
Zichen Nie
Keyword(s):  
Trajectory Planning ◽  
Humanoid Robot ◽  
Control Method ◽  
Least Squares Method ◽  
Human Life ◽  
Humanoid Robots ◽  
Stability Control ◽  
Living Environment ◽  
The Body ◽  
Table Tennis

The humanoid robot has the human shape and has great advantages in assisting human life and work. The ability to work, especially in a dynamic, unstructured environment, is an important prerequisite for humanoid robots to assist humans in their mission. Table tennis hitting involves a variety of key technologies such as visual inspection, trajectory planning, and artificial intelligence. It is an important research example that can reflect the ability of humanoid robots. First, according to the requirements of humanoid robots in the human living environment and the requirements of coordinating table tennis batting movements throughout the body, a method of establishing a humanoid robot model was analyzed, and a control system was designed to meet the needs of rapid table tennis batting. Second, a motion model construction and optimization algorithm based on intelligent learning training is proposed. Based on the parameter knowledge base established by the multiple trajectories of table tennis, a kind of electromagnetic mechanism and D-optimality regularized orthogonal minima are introduced. Design a two-pass method (regularized orthogonal least squares method + D-optimality) to learn the two-level learning method, which is used to learn the key parameters of the table tennis model. Third, for human-like robotic table tennis fast-moving, it is necessary to satisfy both the task and the stability requirements and to propose a stability-optimized whole-system coordinated trajectory planning method. The effectiveness of the proposed humanoid robot table tennis hitting motion planning and stability control method is verified by experiments.

HUMANOID ROBOT MOTION GENERATION SCHEME FOR TASKS UTILIZING IMPULSIVE FORCE

2012 ◽  
Vol 09 (02) ◽  
pp. 1250008 ◽  
Author(s):  
TEPPEI TSUJITA ◽  
ATSUSHI KONNO ◽  
SHUNSUKE KOMIZUNAI ◽  
YUKI NOMURA ◽  
TOMOYA MYOJIN ◽  
...  
Keyword(s):  
Humanoid Robot ◽  
Control Method ◽  
Three Dimensional ◽  
Humanoid Robots ◽  
Impulsive Force ◽  
Motion Generation ◽  
Three Dimensional Model ◽  
Large Force ◽  
The Impact ◽  
Impact Motion

In order to exert a large force on an environment, it is effective to apply impulsive force. We describe the motions in which tasks are performed by applying impulsive force as "impact motions." This paper proposes a way to generate impact motions for humanoid robots to exert a large force and the feedback control method for driving a nail robustly. The impact motion is optimized based on a three dimensional model using sequential quadratic programming (SQP). In this research, a nailing task is taken as an example of impact motion. A dominant parameter for driving a nail strongly is revealed and motions which maximize the parameter are generated considering the robot's postural stability. In order to evaluate the proposed scheme, a life-sized humanoid robot drives nails into a plate made of chemical wood. The optimized motion is compared with a motion designed heuristically by a human. Average driving depth is clearly increased by the proposed method.

DYNAMIC ROLL-AND-RISE MOTION BY AN ADULT-SIZE HUMANOID ROBOT

2004 ◽  
Vol 01 (03) ◽  
pp. 497-516 ◽  
Author(s):  
YASUO KUNIYOSHI ◽  
YOSHIYUKI OHMURA ◽  
KOJI TERADA ◽  
AKIHIKO NAGAKUBO
Keyword(s):  
Critical Points ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
The Body ◽  
Whole Body ◽  
Adult Size ◽  
Constrained Motion ◽  
Goal State ◽  
Trade Offs ◽  
Alternative Approach

Whole-body dynamic actions under various contacts with the environment will be very important for future humanoid robots to support human tasks in unstructured environments. Such skills are very difficult to realize using the standard motion control methodology based on asymptotic convergence to the successive desired states. An alternative approach would be to exploit the passive dynamics of the body under constrained motion, and to navigate through multiple dynamics by imposing the least control in order to robustly reach the goal state. As a first example of such a strategy, we propose and investigate a "Roll-and-Rise" motion. This is a fully dynamic whole-body task including underactuated motion whose state trajectory is insoluble, and unpredictable perturbations due to complex contacts with the ground. First, we analyze the global structure of Roll-and-Rise motion. Then the critical points are analyzed using simplified models and simulations. The results suggest a non-uniform control strategy which focuses on sparse critical points in the global phase space, and allows deviations and trade-offs at other parts. Finally, experiments with a real adult-size humanoid robot are successfully carried out. The robot rose from a flat-lying posture to a crouching posture within 2 seconds.

scholarly journals Humanoid Robot Cooperative Motion Control Based on Optimal Parameterization

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiubo Zhong ◽  
Yaoyun Li ◽  
Caiming Zheng ◽  
Tianyao Shen
Keyword(s):  
Energy Consumption ◽  
Humanoid Robot ◽  
Control Method ◽  
Humanoid Robots ◽  
Parameters Optimization ◽  
Optimal Parameters ◽  
Cooperative Motion ◽  
Key Technologies ◽  
Consumption Index ◽  
The Stability

The implementation of low-energy cooperative movements is one of the key technologies for the complex control of the movements of humanoid robots. A control method based on optimal parameters is adopted to optimize the energy consumption of the cooperative movements of two humanoid robots. A dynamic model that satisfies the cooperative movements is established, and the motion trajectory of two humanoid robots in the process of cooperative manipulation of objects is planned. By adopting the control method with optimal parameters, the parameters optimization of the energy consumption index function is performed and the stability judgment index of the robot in the movement process is satisfied. Finally, the effectiveness of the method is verified by simulations and experimentations.

Motion planning for humanoid robot dynamically stepping over consecutive large obstacles

2016 ◽  
Vol 43 (2) ◽  
pp. 204-220 ◽  
Author(s):  
Fayong Guo ◽  
Tao Mei ◽  
Minzhou Luo ◽  
Marco Ceccarelli ◽  
Ziyi Zhao ◽  
...  
Keyword(s):  
Motion Planning ◽  
Trajectory Planning ◽  
Humanoid Robot ◽  
Extreme Case ◽  
Humanoid Robots ◽  
Decision Criterion ◽  
Body Motion ◽  
Feasibility Analysis ◽  
Upper Body ◽  
Content Type

Purpose – Humanoid robots should have the ability of walking in complex environment and overcoming large obstacles in rescue mission. Previous research mainly discusses the problem of humanoid robots stepping over or on/off one obstacle statically or dynamically. As an extreme case, this paper aims to demonstrate how the robots can step over two large obstacles continuously. Design/methodology/approach – The robot model uses linear inverted pendulum (LIP) model. The motion planning procedure includes feasibility analysis with constraints, footprints planning, legs trajectory planning with collision-free constraint, foot trajectory adapter and upper body motion planning. Findings – The motion planning with the motion constraints is a key problem, which can be considered as global optimization issue with collision-free constraint, kinematic limits and balance constraint. With the given obstacles, the robot first needs to determine whether it can achieve stepping over, if feasible, and then the robot gets the motion trajectory for the legs, waist and upper body using consecutive obstacles stepping over planning algorithm which is presented in this paper. Originality/value – The consecutive stepping over problem is proposed in this paper. First, the paper defines two consecutive stepping over conditions, sparse stepping over (SSO) and tight stepping over (TSO). Then, a novel feasibility analysis method with condition (SSO/TSO) decision criterion is proposed for consecutive obstacles stepping over. The feasibility analysis method’s output is walking parameters with obstacles’ information. Furthermore, a modified legs trajectory planning method with center of mass trajectory compensation using upper body motion is proposed. Finally, simulations and experiments for SSO and TSO are carried out by using the XT-I humanoid robot platform with the aim to verify the validity and feasibility of the novel methods proposed in this paper.

scholarly journals Stability Control and Turning Algorithm of an Alpine Skiing Robot

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3664 ◽  
Author(s):  
Si-Hyun Kim ◽  
Bumjoo Lee ◽  
Young-Dae Hong
Keyword(s):  
Humanoid Robot ◽  
Control Method ◽  
Stability Control ◽  
Simulation Software ◽  
Dynamics Simulation ◽  
Alpine Skiing ◽  
Turning Radius ◽  
Pass Through ◽  
The Many ◽  
Robot Platform

This paper proposes a general stability control method that uses the concept of zero-moment-point (ZMP) and a turning algorithm with a light detection and ranging (LiDAR) sensor for a bipedal alpine skiing robot. There is no elaborate simulator for skiing robots since the snow has complicated characteristics, such as compression and melting. However, real experiments are laborious because of the many varied skiing conditions. The proposed skiing simulator could be used, so that a humanoid robot can track its desired turning radius by modeled forces that are similar to real ones in the snow. Subsequently, the robot will be able to pass through gates with LiDAR sensors. By using ZMP control, the robot can avoid falling down while tracking its desired path. The performance of the proposed stabilization method and autonomous turning algorithm are verified by a dynamics simulation software, Webots, and the simulation results are obtained while using the small humanoid robot platform DARwIn-OP.

A KINEMATIC MODEL OF THE UPPER LIMB WITH A CLAVICLE-LIKE LINK FOR HUMANOID ROBOTS

2008 ◽  
Vol 05 (01) ◽  
pp. 87-118 ◽  
Author(s):  
BERTRAND TONDU
Keyword(s):  
Upper Limb ◽  
Humanoid Robot ◽  
Frontal Zone ◽  
Kinematic Model ◽  
Shoulder Girdle ◽  
Humanoid Robots ◽  
Biomechanical Study ◽  
The Body ◽  
Human Arm ◽  
Shoulder Complex

Starting from a biomechanical study of the shoulder complex, the relevance of a serial nine d.o.f. kinematic model of the human arm, including a clavicle-like link, was analyzed. It is shown that this partial biomimetic joint model of the upper limb is able to mimic the ability of the natural arm to practically eliminate internal and bound singularities over a large frontal zone, so as to maintain its elbow laterally to the body. In this sense, it appears to be an advanced solution for increasing the dexterity of humanoid robot upper limbs, thus replacing classical seven d.o.f. anthropomorphic arms where a device mimicking the shoulder girdle mechanism is absent.

scholarly journals Humanoid Robot: A Review

2021 ◽  
Vol 9 (8) ◽  
pp. 2884-2894
Author(s):  
Dr. S. V. Viraktamath
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Human Life ◽  
Biped Robot ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Human Form ◽  
Robot Interaction ◽  
Humanoid Robotics ◽  
The One

Abstract: Technology is ever evolving regardless of the current conditions. Emerging technologies have capability to change the world. Innovation is everywhere we look. One of the technologies that is emerging is Humanoid Robotics. This paper gives a review about influence of Humanoid Robot in human life also discuss the appearance of various robots. Artists, engineers and scientists have all been inspired by the human body and intellect. Humanoid Robotics is focused with the creation of robots that are inspired directly by human abilities. A humanoid robot is the one with a body that is designed to look like a human. Humanoid Robots imitate characteristics of human form and behaviour selectively. The robot could be used for practical purposes, such as interacting with human equipment and environments or for research purposes, such as investigating biped walking. Keywords: Biped Robot, Degrees of Freedom, Humanoid Robot, Human-Robot Interaction

scholarly journals A minimized falling damage method for humanoid robots

2017 ◽  
Vol 14 (5) ◽  
pp. 172988141772801 ◽  
Author(s):  
Qingqing Li ◽  
Xuechao Chen ◽  
Yuhang Zhou ◽  
Zhangguo Yu ◽  
Weimin Zhang ◽  
...  
Keyword(s):  
Motion Capture ◽  
Humanoid Robot ◽  
Inverted Pendulum ◽  
Humanoid Robots ◽  
Living Environment ◽  
Second Phase ◽  
Leg Length ◽  
Heuristic Strategy ◽  
Two Phases ◽  
The Impact

In order to better adapt to human living environment for improving the ability of serving people on various occasions, humanoid robots need to prevent themselves from being severely damaged during falling backward. In this article, we have study the law of human falling motion with a motion capture system and propose a minimized falling damage method for humanoid robots. Falling backward is divided into two phases: the falling phase and the touchdown phase. The parametric optimal strategy based on inverted pendulum with flywheel is used to plan the motion of robot in the first phase to reduce the impact. In the second phase, to prevent the robot from bouncing and rolling over, the heuristic strategy including the best ratio of leg length inspired by biomechanical is adopted. The experiments have been tested on the BIT Humanoid Robot 6 prototype platform and the presented method has been validated.

Dynamic Cooperative Manipulating Pattern Generation for Mobile Humanoid Robot Using Waist Moment Compensation

2011 ◽  
Vol 201-203 ◽  
pp. 1978-1982
Author(s):  
Tie Jun Zhao
Keyword(s):  
Humanoid Robot ◽  
Control Method ◽  
Dynamic Effect ◽  
Humanoid Robots ◽  
Pattern Generation ◽  
Whole Body ◽  
Robotic Arm ◽  
Living Space ◽  
Zero Moment ◽  
The Stability

This research is aimed at dynamically stable motion and safety of mobile humanoid robots expected to work in a human living space. The mechanism of the mobile humanoid robot YIREN is described. A highly flexible anthropomorphic 7-DOF robotic arm and a new waist configuration with parallel driving motor are developed. Because the dynamitic behavior of manipulator and waist has an effect on the stability of mobile humanoid robots, the dynamitic model is built. By using the zero moment point, dynamic effect of the waist is obtained. A basic control method of whole body cooperative dynamic moving is proposed that uses waist cooperative motion to compensate for moment generated by the trajectory of the arms and the correctness of analysis is verified by experiments.

Motion and Gesture Compliance Control for High Performance of a Wheeled Humanoid Robot

2017 ◽  
Author(s):  
Salvador Rojas ◽  
He Shen ◽  
Holly Griffiths ◽  
Ni Li ◽  
Lanchun Zhang
Keyword(s):  
High Performance ◽  
Humanoid Robot ◽  
Control Method ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Center Of Mass ◽  
Humanoid Robots ◽  
Euler Method ◽  
Mobile Platforms ◽  
Compliance Control

Humanoid robots have the potential to help or even take the place of humans working in extreme or undesirable environments. Wheeled humanoids are robots that combine the mobility of mobile platforms, and the dexterity of an articulated body with two robotic arms. To perform like a human being, these robots normally are designed with a high center of mass, which makes it challenging to maintain stability while achieving high performance on complex and unpredictable terrain. Inspired from how humans react to balance themselves, a compliance control method is studied to help the wheeled humanoid robot developed at the Robotics Laboratory at Cal State LA achieve high dynamic performance while scouting over uneven terrain. Lagrange-Euler method is used to obtain the dynamic model of the humanoid robot. Then a nonlinear sliding mode compliance controller is derived and proven to ensure asymptotic stability of the humanoid robot while tracking desired reference trajectories. Finally, the performance of the proposed compliance control system is demonstrated using simulation. The results show that the robot successfully tracks a given input while maintaining balance based on the proposed tip-over avoidance algorithm.

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