scholarly journals Behaviour Generation in Humanoids by Learning Potential-Based Policies from Constrained Motion

2008 ◽  
Vol 5 (4) ◽  
pp. 195-211 ◽  
Author(s):  
Matthew Howard ◽  
Stefan Klanke ◽  
Michael Gienger ◽  
Christian Goerick ◽  
Sethu Vijayakumar
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
Movement Planning ◽  
Policy Learning ◽  
High Dimensional ◽  
Constrained Motion ◽  
Learning Potential ◽  
Kinematic Data ◽  
Motion Data

Movement generation that is consistent with observed or demonstrated behaviour is an efficient way to seed movement planning in complex, high-dimensional movement systems like humanoid robots. We present a method for learning potential-based policies from constrained motion data. In contrast to previous approaches to direct policy learning, our method can combine observations from a variety of contexts where different constraints are in force, to learn the underlying unconstrained policy in form of its potential function. This allows us to generalise and predict behaviour where novel constraints apply. We demonstrate our approach on systems of varying complexity, including kinematic data from the ASIMO humanoid robot with 22 degrees of freedom.

New 3-DOFs Hybrid Mechanism for Ankle and Wrist of Humanoid Robot: Modeling, Simulation, and Experiments

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Samer Alfayad ◽  
Fethi B. Ouezdou ◽  
Faycal Namoun
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Power Transmission ◽  
Mechanical Design ◽  
Humanoid Robots ◽  
Classical Solutions ◽  
Kinematic Modeling ◽  
New Class ◽  
Hybrid Mechanism ◽  
And Control

This paper deals with the design of a new class of hybrid mechanism dedicated to humanoid robotics application. Since the designing and control of humanoid robots are still open questions, we propose the use of a new class of mechanisms in order to face several challenges that are mainly the compactness and the high power to mass ratio. Human ankle and wrist joints can be considered more compact with the highest power capacity and the lowest weight. The very important role played by these joints during locomotion or manipulation tasks makes their design and control essential to achieve a robust full size humanoid robot. The analysis of all existing humanoid robots shows that classical solutions (serial or parallel) leading to bulky and heavy structures are usually used. To face these drawbacks and get a slender humanoid robot, a novel three degrees of freedom hybrid mechanism achieved with serial and parallel substructures with a minimal number of moving parts is proposed. This hybrid mechanism that is able to achieve pitch, yaw, and roll movements can be actuated either hydraulically or electrically. For the parallel submechanism, the power transmission is achieved, thanks to cables, which allow the alignment of actuators along the shin or the forearm main axes. Hence, the proposed solution fulfills the requirements induced by both geometrical, power transmission, and biomechanics (range of motion) constraints. All stages including kinematic modeling, mechanical design, and experimentation using the HYDROïD humanoid robot’s ankle mechanism are given in order to demonstrate the novelty and the efficiency of the proposed solution.

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.

Recognizing Gestures for Humanoid Robot Using Proto-Symbol Space

2011 ◽  
Vol 403-408 ◽  
pp. 4769-4776
Author(s):  
Nitin Kumar ◽  
Suraj Prakash Sahu ◽  
Jay Prakash Maurya ◽  
G.C. Nandi ◽  
Pavan Chakraborty
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Nearest Neighbor ◽  
Humanoid Robots ◽  
K Nearest Neighbor ◽  
Symbol Space ◽  
Communication Method ◽  
Human Gestures ◽  
Distance Vector ◽  
Hand Gestures Recognition

This paper describes the non Verbal communication method for developing a gesture-based system using Mimesis model. The proposed method is applicable to any hand gesture represented by a multi-dimensional signal. The entire work concentrates mainly on hand gestures recognition. It develops a way to communicate between Humans and the Humanoid Robots through gestural medium. The Mimesis is the technique of performing human gestures through imitation, recognition and generation. Different Gestures are being converted into code words through the use of code book. These code words are then converted into Proto-Symbols, these proto symbol then forms basis for training of the Humanoid robot. The recognition part is performed through a “distance vector”, a novel algorithm developed by us which is a combination of Euclidean distance and K-nearest neighbor. The generation part is done through the use of WEBOTS which include use of Humanoid robot HOAP 2 having 25 degrees of freedom. All the process of training, recognition and generation are simulated through MATLAB.

Design of a Human-Like Range of Motion Hip Joint for Humanoid Robots

2014 ◽  
Author(s):  
Bryce Lee ◽  
Coleman Knabe ◽  
Viktor Orekhov ◽  
Dennis Hong
Keyword(s):  
Range Of Motion ◽  
Hip Joint ◽  
Disaster Response ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Large Range ◽  
Humanoid Robots ◽  
Linkage Mechanism ◽  
Joint Torques ◽  
Similar Range

For a humanoid robot to have the versatility of humans, it needs to have similar motion capabilities. This paper presents the design of the hip joint of the Tactical Hazardous Operations Robot (THOR), which was created to perform disaster response duties in human-structured environments. The lower body of THOR was designed to have a similar range of motion to the average human. To accommodate the large range of motion requirements of the hip, it was divided into a parallel-actuated universal joint and a linkage-driven pin joint. The yaw and roll degrees of freedom are driven cooperatively by a pair of parallel series elastic linear actuators to provide high joint torques and low leg inertia. In yaw, the left hip can produce a peak of 115.02 [Nm] of torque with a range of motion of −20° to 45°. In roll, it can produce a peak of 174.72 [Nm] of torque with a range of motion of −30° to 45°. The pitch degree of freedom uses a Hoeken’s linkage mechanism to produce 100 [Nm] of torque with a range of motion of −120° to 30°.

Sampling-Based Methods for Motion Planning with Constraints

2018 ◽  
Vol 1 (1) ◽  
pp. 159-185 ◽  
Author(s):  
Zachary Kingston ◽  
Mark Moll ◽  
Lydia E. Kavraki
Keyword(s):  
Motion Planning ◽  
Degrees Of Freedom ◽  
Planning Process ◽  
Disaster Relief ◽  
Humanoid Robots ◽  
High Dimensional ◽  
Mobile Manipulators ◽  
Continuous Motion ◽  
Task Constraints ◽  
Planning Algorithms

Robots with many degrees of freedom (e.g., humanoid robots and mobile manipulators) have increasingly been employed to accomplish realistic tasks in domains such as disaster relief, spacecraft logistics, and home caretaking. Finding feasible motions for these robots autonomously is essential for their operation. Sampling-based motion planning algorithms are effective for these high-dimensional systems; however, incorporating task constraints (e.g., keeping a cup level or writing on a board) into the planning process introduces significant challenges. This survey describes the families of methods for sampling-based planning with constraints and places them on a spectrum delineated by their complexity. Constrained sampling-based methods are based on two core primitive operations: ( a) sampling constraint-satisfying configurations and ( b) generating constraint-satisfying continuous motion. Although this article presents the basics of sampling-based planning for contextual background, it focuses on the representation of constraints and sampling-based planners that incorporate constraints.

CONTRIBUTION TO THE STUDY OF ANTHROPOMORPHISM OF HUMANOID ROBOTS

2005 ◽  
Vol 02 (03) ◽  
pp. 361-387 ◽  
Author(s):  
MIOMIR VUKOBRATOVIĆ ◽  
BRANISLAV BOROVAC ◽  
KALMAN BABKOVIĆ
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Rapid Development ◽  
Humanoid Robots ◽  
Reasonable Number ◽  
The Common ◽  
High Degree ◽  
Near Future

The rapid development of robotics has led to the appearance of very complex humanoid robots possessing already about fifty degrees of freedom. Bearing in mind that such robots will be increasingly more engaged in the close environment of humans, it is expected that the problem of "working coexistence" of man and robot sharing the common workspace will become acute in the near future. Since no significant rearrangement of the human's environment because of the presence of robots can be expected, robots will have to further "adapt" to the environment previously dedicated only to humans. This paper raises some new fundamental questions concerning the necessary degree of anthropomorphism of humanoid robots. What is particularly challenging is how to achieve a sufficiently high degree of anthropomorphism with a reasonable number of degrees of freedom. Using the example of a humanoid robot, concrete measures are proposed as to how to attain the desired degree of its anthropomorphism.

Mechanism Design of a Humanoid Robotic Torso Based on Bionic Optimization

2017 ◽  
Vol 14 (04) ◽  
pp. 1750010 ◽  
Author(s):  
Peng Yao ◽  
Tao Li ◽  
Minzhou Luo ◽  
Qingqing Zhang ◽  
Zhiying Tan
Keyword(s):  
Structural Design ◽  
Optimization Design ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
3D Model ◽  
Structural Characteristics ◽  
Humanoid Robots ◽  
Chain Mechanism ◽  
Serial Chain ◽  
Simulation Results

A new torso structure for a humanoid robot has been proposed. The structural characteristics and functions of human torso have been considered to gain inspirations for design purposes. The proposed torso structure consists of six revolute units divided into two basic categories connected in a serial chain mechanism. The proposed torso structure shows more advantages compared to traditional humanoid robots in terms of high degrees of freedom (DOFs), high stiffness, self-locking capabilities, as well as easy-to-control features. Bionic optimization design based on objective function method has been implemented on structural design for better motion performances. A 3D model has been elaborated and simulated in SolidWorks and ADAMS environments for structural design and kinematic simulation purposes, respectively. Simulation results show that the new bionic torso structure is able to well imitate movements of human torso.

Kinodynamically Consistent Motion Retargeting for Humanoids

2015 ◽  
Vol 12 (04) ◽  
pp. 1550017 ◽  
Author(s):  
Ghassan Bin Hammam ◽  
Patrick M. Wensing ◽  
Behzad Dariush ◽  
David E. Orin
Keyword(s):  
Degrees Of Freedom ◽  
Humanoid Robots ◽  
Human Motion ◽  
Redundancy Resolution ◽  
Motion Data ◽  
Current Formulation ◽  
Resolved Acceleration Control ◽  
Motion Retargeting ◽  
Joint Limits ◽  
Joint Motions

Human-to-humanoid motion retargeting is an important tool to generate human-like humanoid motions. This retargeting problem is often formulated as a Cartesian control problem for the humanoid from a set of task points in the captured human data. Classically, Cartesian control has been developed for redundant systems. While redundancy fundamentally adds new sub-task capabilities, the degree to which secondary objectives can be faithfully executed cannot be determined in advance. In fact, a robot that exhibits redundancy with respect to an operational task may have insufficient degrees of freedom (DOFs) to satisfy more critical constraints. In this paper, we present a Cartesian space resolved acceleration control framework to handle execution of operational tasks and constraints for redundant and nonredundant task specifications. The approach is well suited for online control of humanoid robots from captured human motion data expressed by Cartesian variables. The current formulation enforces kinematic constraints such as joint limits, self-collisions, and foot constraints and incorporates a dynamically-consistent redundancy resolution approach to minimize costly joint motions. The efficacy of the proposed algorithm is demonstrated by simulated and real-time experiments of human motion replication on a Honda humanoid robot model. The algorithm closely tracks all input motions while smoothly and automatically transitioning between regimes where different constraints are binding.

scholarly journals Technique of Standing Up From Prone Position of a Soccer Robot

2018 ◽  
Vol 6 (1) ◽  
pp. 124-136 ◽  
Author(s):  
Nur Khamdi ◽  
Mochamad Susantok ◽  
Antony Darmawan
Keyword(s):  
Prone Position ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
Soccer Robot ◽  
Robot Soccer ◽  
The Real ◽  
Limited Movement ◽  
Standing Up ◽  
Real Robot

One of the humanoid robots being developed in the field of sports is a soccer robot. A soccer robot is a humanoid robot that can perform activities such as playing football. And a variety method fall down of robot soccer such: falling down toward the front direction, side direction, and rear direction. This paper describes the most stands up methods of a soccer robot from its prone position. The proposed method requires only limited movement with degrees of freedom. The movement standing-up of soccer robot has been implemented on the real robot. Tests we performed showed that reliable standing-up from prone position is possible after a fall and such recovery procedures greatly improve the overall robustness of a Soccer Robot.

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

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