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IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 419
Design Validation and Analysis of a Humanoid Robot
Pratik Pandya1
Vikas Jain2
Praveen Dehari3
1
CCET, Bhili 2,3
Verve Technologies
Abstract— The paper is about the design validation and
analysis of a humanoid robot. The robot made is of 34
inches (86.36 cm). The structural design of the humanoid is
made on the basis of golden ratio and the results of the
design is validated by an already existing huamanoid NAO.
Keywords: Humanoid Robot, Humanoid, NAO
I. INTRODUCTION
Humanoid robots have been an attractive research area for
the last two decades. A main reason for this is that these
robots are theoretically capable of performing similar tasks
and acting in similar environments as the human. Even
more, there are also tasks which are too complex to be
performed by simple robots and too hazardous for human to
undergo. Therefore humanoid robots provide a generic
platform for researching and developing technologies on a
wide range of areas. Some examples are bipedal walking,
stereo vision, self-localization and human-robot interaction.
Despite the long research on development of humanoid
robots there is still a huge lack of functionality and
performance, compared to an actual human. The
applications of robots with human-like dimensions and
motion capabilities, humanoid robots, are plentiful.
Humanoid robots constitute both one of the largest potentials
and one of the largest challenges in the fields of autonomous
agents and intelligent robotic control. In a world where man
is the standard for almost all interactions, humanoid robots
have a very large potential acting in environments created
for human beings.
At the time this paper is being written, the greatest
challenge is the stabilization of bipedal walking. This is a
key problem in development of humanoid robots. There are
several examples of humanoid robots which can walk
acceptably stable but require one order of magnitude more
power compared to human walking. On the other hand, the
new studies in passive dynamic walking introduce a class of
bipedal walkers with the energy efficiency of a human.
In traditional robot control programming, an
internal model of the system is derived and the inverse
kinematics can thus be calculated. The trajectory for
movement between given points in the working area of the
robot is then calculated from the inverse kinematics.
Conventional industrial robots are designed in such a way
that a model can be easily derived, but for the development
of so called bio-inspired robots, this is not a primary design
principle. Thus, a model of the system is very hard to derive
or to complex so that a model-based calculation of actuator
commands requires to much time for reactive tasks. For a
robot that is conceived to operate in an actual human living
environment, it is impossible for the programmer to consider
all eventualities in advance. The robot is therefore required
to have an adaptation mechanism that is able to cope with
unexpected situations.
II. DESIGN PARAMETERS
The design of the humanoid is based on the basic concept
used for the human body. The human structural design is
based on Golden Ratio. The golden ratio is otherwise called
as the „Divine Proportion‟ or „phi‟ (φ) which represents a
mathematical ratio with special properties and aesthetic
significance. An enormous number of things in the universe
are engineered around the ratio, ranging from the human
body to the arc of the covenant to snail shells to the orbits of
the planets. The divine ratio and golden rectangles appear
throughout the ancient architecture and art. The golden ratio
is believed to be the most aesthetically pleasing and
harmonious means of design. Statistical analysis indicates
that “the people involuntarily give preference to proportions
that approximate to the Golden Section (Golden ratio)”. The
Fibonacci numbers are Nature‟s numbering system. They
appear everywhere in Nature, from the leaf arrangement in
plants, to the pattern of the florets of a flower, the bracts of a
pinecone, or the scales of a pineapple. The Fibonacci
numbers are therefore applicable to the growth of every
living thing, including a single cell, a grain of wheat, a hive
of bees, and even all of mankind. It plays a vital role in the
arrangement of petals in flowers, structure of DNA and
various proportions in human face, structure of sea shells
etc. If we take the ratio of two successive numbers in
Fibonacci‟s series, (1, 1, 2, 3, 5, 8, 13 . . .), we will find the
following series of numbers: 1 1 =, 2 1 = 2 3 2 = 1.5, 5 3 =
1.666 . . ., 8 5 = 1.6, 13 8 = 1.625, 21 13 = 1.61538. ... It is
easier to see what is happening if we plot the ratios on a
graph.
Fig. 1: Pasteurization of Convergence of Fibonacci Series
The ratio seems to be settling down to a particular
value, which we call the golden ratio or the golden number.
The golden ratio 1.618034 . . . is also called the golden
section or the golden mean or just the golden number. It is
often represented by a Greek letter Phi φ. The closely
related value which we write as phi with a small “p” is just
the decimal part of Phi, namely 0.618034.
Design Validation and Analysis of a Humanoid Robot
(IJSRD/Vol. 3/Issue 10/2015/085)
All rights reserved by www.ijsrd.com 420
Fig. 2: Application of Golden ratio in human body,
architectural, apple logo and Monalisa.
A. Golden Ratio in Humanoid Structural Design
The Golden ratio is used a key factor for the dimensions of
the structure of the humanoid. Comparing the humanoid‟s
dimensions to the original human body structure the golden
ratio used in the humanoid are:
1. Ratio of the distance of the elbow from the wrist to
the distance of wrist from the tip of the finger is a
golden ratio.
Fig.3 Golden ratio for human hand
2. Ratio of the distance of navel from the bottom most
part of the body and top most part is the golden
ratio.
Fig.4 Golden Ratio for Human Body
B. Balancing
The balancing of the weight is important in the dynamic
conditions. After the static condition, during the locomotion
of the humanoid there will be unbalance of the weight which
needs to be balanced otherwise the robot may fall as the
center of mass will shift to any out centered point. The mass
distribution of the entire mass of the humanoid is made in
the form of a triangular form.
Fig. 5: Center of gravity and load stability
Fig. 6: Weight Distribution of the humanoid
The main reason of selecting the weight
distribution in a triangular shape is that the center of gravity
is the lowest in comparison to all the other shapes.
Fig. 7: Center of Gravity and Load Stability
The fact that we as humans are bipeds and
locomote over the ground with one foot in contact
(walking), no feet in contact (running), or both feet in
contact (standing) creates a major challenge to our balance
control system. Because two-thirds of our body mass is
located two-thirds of body height above the ground we are
an inherently unstable system unless a control system is
continuously acting. The purpose of this review is to
introduce the reader to the basic anatomy, mechanics, and
neuromuscular control that is seen in the current literature
related to balance control.
III. FINAL DESIGN AND VALIDATION
The final design of the humanoid considering the golden
ratio parameters are as shown in the figure.
Design Validation and Analysis of a Humanoid Robot
(IJSRD/Vol. 3/Issue 10/2015/085)
All rights reserved by www.ijsrd.com 421
Fig. 8: Design of Our Humanoid
Fig. 9: Design of NAO
REFERENCES
[1] R. Hirose and T. Takenaka. Development of the
humanoid robot ASIMO. Honda R&D Technical
Review, 13(1), 2001.
[2] S. Kagami, K. Nishiwaki, T. Sugihara, JJ Kuffner Jr, M.
Inaba, and H. Inoue. Design and implementation of
software research platform for humanoid robotics: H6.
In IEEE International Conference on Robotics and
Automation, 2001. Proceedings 2001 ICRA, 2001.
[3] S. Hashimoto, S. Narita, H. Kasahara, K. Shirai, T.
Kobayashi, A. Takanishi, S. Sugano, J. Yamaguchi, H.
Sawada, H. Takanobu, et al. Humanoid robots in
Waseda UniversityHadaly-2 and WABIAN.
Autonomous Robots, 12(1):25–38, 2002.
[4] K. Kaneko, F. Kanehiro, S. Kajita, H. Hirukawa, T.
Kawasaki, M. Hirata, K. Akachi, and T. Isozumi.
Humanoid robot HRP-2. In 2004 IEEE International
Conference on Robotics and Automation, 2004.
Proceedings. ICRA’04, volume 2, 2004.
[5] K. Akachi, K. Kaneko, N. Kanehira, S. Ota, G.
Miyamori, M. Hirata, S. Kajita, and F. Kanehiro.
Development of humanoid robot HRP-3P. In Humanoid
Robots, 2005 5th IEEE-RAS International Conference
on, pages 50–55, 2005.
[6] D. Katz, E. Horrell, Y. Yang, B. Burns, T. Buckley, A.
Grishkan, V. Zhylkovskyy, O. Brock, and E. Learned-
Miller. The UMass mobile manipulator uMan: An
experimental platform for autonomous mobile
manipulation. In Workshop on Manipulation in Human
Environments at Robotics: Science and Systems, 2006.
[7] F. Zacharias, C. Borst, M. Beetz, and G. Hirzinger.
Positioning Mobile Manipulators to Perform
Constrained Linear Trajectories. In IEEE/RSJ
International Conference on Intelligent Robots and
Systems, 2008. IROS 2008, pages 2578–2584, 2008.
[8] T. Inamura, K. Okada, S. Tokutsu, N. Hatao, M. Inaba,
and H. Inoue. HRP-2W: A humanoid platform for
research on support behavior in daily life environments.
Robotics and Autonomous Systems, 2008.
[9] RO Ambrose, RT Savely, SM Goza, P. Strawser, MA
Diftler, I. Spain, and N. Radford. Mobile manipulation
using NASA‟s robonaut. In 2004 IEEE International
Conference on Robotics and Automation, 2004.
Proceedings. ICRA’04, volume 2, 2004.
[10]TB Lauwers, G.A. Kantor, and RL Hollis. A
dynamically stable singlewheeled mobile robot with
inverse mouse-ball drive. In Proceedings of the 2006
IEEE International Conference on Robotics and
Automation.
[11]M. Inaba, T. Igarashi, S. Kagami, and H. Inoue. A 35
DOF humanoid that can coordinate arms and legs in
standing up, reaching and grasping an object. In
Intelligent Robots and Systems’ 96, IROS 96,
Proceedings of the 1996 IEEE/RSJ International
Conference on, volume 1, 1996.
[12]F. Kanehiro, K. Kaneko, K. Fujiwara, K. Harada, S.
Kajita, K. Yokoi, H. Hirukawa, K. Akachi, and T.
Isozumi. The first humanoid robot that has the same
size as a human and that can lie down and get up. In
IEEE International Conference on Robotics and
Automation, 2003. Proceedings. ICRA’03, volume 2,
2003.
[13]J. Stuckler, J. Schwenk, and S. Behnke. Getting back on
two feet: Reliable standing-up routines for a humanoid
robot. In Proc. of The 9th International Conference on
Intelligent Autonomous Systems (IAS9), Tokyo, Japan,
pages 676–685, 2006.
[14]S. Kuindersma, E. Hannigan, D. Ruiken, and R.
Grupen. Dexterous Mobility with the uBot-5 Mobile
Manipulator. In 14th International Conference on
Advanced Robotics (ICAR’09), 2009.
[15]U. Nagarajan, A. Mampetta, G. Kantor, and R. Hollis.
State transition, balancing, station keeping, and yaw
control for a dynamically stable single spherical wheel
mobile robot. In Intl. Conf. on Robotics and
Automation, 2009.
[16]MW Spong and DJ Block. The Pendubot: a
mechatronic system for control research andeducation.
In Decision and Control, 1995 ., Proceedings of the
34th IEEE Conference on, volume 1, 1995.
[17]J. Morimoto and K. Doya. Acquisition of stand-up
behavior by a real robot using hierarchical
reinforcement learning. Robotics and Autonomous
Systems, 36(1):37–51, 2001.
Design Validation and Analysis of a Humanoid Robot
(IJSRD/Vol. 3/Issue 10/2015/085)
All rights reserved by www.ijsrd.com 422
[18]C. Schmidt-Wetekam, D. Zhang, R. Hughes, and T.
Bewley. Design, optimization, and control of a new
class of reconfigurable hopping rovers. In Decision and
Control, 2007 46th IEEE Conference on, pages 5150–
5155, 2007.
[19]K. Terada, Y. Ohmura, and Y. Kuniyoshi. Analysis and
control of whole body dynamic humanoid motion-
towards experiments on a rolland-rise motion. In
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems,
(IROS), 2003.
[20]J.Y. Lew and WJ Book. Bracing micro/macro
manipulators control. In 1994 IEEE International
Conference on Robotics and Automation, 1994.
Proceedings., pages 2362–2368, 1994.
[21]S. Kagami, K. Nishiwaki, T. Sugihara, JJ Kuffner Jr, M.
Inaba, and H. Inoue. Design and implementation of
software research platform for humanoid robotics: H6.
In IEEE International Conference on Robotics and
Automation, 2001. Proceedings 2001 ICRA, 2001.

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Design Validation and Analysis of a Humanoid Robot

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 419 Design Validation and Analysis of a Humanoid Robot Pratik Pandya1 Vikas Jain2 Praveen Dehari3 1 CCET, Bhili 2,3 Verve Technologies Abstract— The paper is about the design validation and analysis of a humanoid robot. The robot made is of 34 inches (86.36 cm). The structural design of the humanoid is made on the basis of golden ratio and the results of the design is validated by an already existing huamanoid NAO. Keywords: Humanoid Robot, Humanoid, NAO I. INTRODUCTION Humanoid robots have been an attractive research area for the last two decades. A main reason for this is that these robots are theoretically capable of performing similar tasks and acting in similar environments as the human. Even more, there are also tasks which are too complex to be performed by simple robots and too hazardous for human to undergo. Therefore humanoid robots provide a generic platform for researching and developing technologies on a wide range of areas. Some examples are bipedal walking, stereo vision, self-localization and human-robot interaction. Despite the long research on development of humanoid robots there is still a huge lack of functionality and performance, compared to an actual human. The applications of robots with human-like dimensions and motion capabilities, humanoid robots, are plentiful. Humanoid robots constitute both one of the largest potentials and one of the largest challenges in the fields of autonomous agents and intelligent robotic control. In a world where man is the standard for almost all interactions, humanoid robots have a very large potential acting in environments created for human beings. At the time this paper is being written, the greatest challenge is the stabilization of bipedal walking. This is a key problem in development of humanoid robots. There are several examples of humanoid robots which can walk acceptably stable but require one order of magnitude more power compared to human walking. On the other hand, the new studies in passive dynamic walking introduce a class of bipedal walkers with the energy efficiency of a human. In traditional robot control programming, an internal model of the system is derived and the inverse kinematics can thus be calculated. The trajectory for movement between given points in the working area of the robot is then calculated from the inverse kinematics. Conventional industrial robots are designed in such a way that a model can be easily derived, but for the development of so called bio-inspired robots, this is not a primary design principle. Thus, a model of the system is very hard to derive or to complex so that a model-based calculation of actuator commands requires to much time for reactive tasks. For a robot that is conceived to operate in an actual human living environment, it is impossible for the programmer to consider all eventualities in advance. The robot is therefore required to have an adaptation mechanism that is able to cope with unexpected situations. II. DESIGN PARAMETERS The design of the humanoid is based on the basic concept used for the human body. The human structural design is based on Golden Ratio. The golden ratio is otherwise called as the „Divine Proportion‟ or „phi‟ (φ) which represents a mathematical ratio with special properties and aesthetic significance. An enormous number of things in the universe are engineered around the ratio, ranging from the human body to the arc of the covenant to snail shells to the orbits of the planets. The divine ratio and golden rectangles appear throughout the ancient architecture and art. The golden ratio is believed to be the most aesthetically pleasing and harmonious means of design. Statistical analysis indicates that “the people involuntarily give preference to proportions that approximate to the Golden Section (Golden ratio)”. The Fibonacci numbers are Nature‟s numbering system. They appear everywhere in Nature, from the leaf arrangement in plants, to the pattern of the florets of a flower, the bracts of a pinecone, or the scales of a pineapple. The Fibonacci numbers are therefore applicable to the growth of every living thing, including a single cell, a grain of wheat, a hive of bees, and even all of mankind. It plays a vital role in the arrangement of petals in flowers, structure of DNA and various proportions in human face, structure of sea shells etc. If we take the ratio of two successive numbers in Fibonacci‟s series, (1, 1, 2, 3, 5, 8, 13 . . .), we will find the following series of numbers: 1 1 =, 2 1 = 2 3 2 = 1.5, 5 3 = 1.666 . . ., 8 5 = 1.6, 13 8 = 1.625, 21 13 = 1.61538. ... It is easier to see what is happening if we plot the ratios on a graph. Fig. 1: Pasteurization of Convergence of Fibonacci Series The ratio seems to be settling down to a particular value, which we call the golden ratio or the golden number. The golden ratio 1.618034 . . . is also called the golden section or the golden mean or just the golden number. It is often represented by a Greek letter Phi φ. The closely related value which we write as phi with a small “p” is just the decimal part of Phi, namely 0.618034.
  • 2. Design Validation and Analysis of a Humanoid Robot (IJSRD/Vol. 3/Issue 10/2015/085) All rights reserved by www.ijsrd.com 420 Fig. 2: Application of Golden ratio in human body, architectural, apple logo and Monalisa. A. Golden Ratio in Humanoid Structural Design The Golden ratio is used a key factor for the dimensions of the structure of the humanoid. Comparing the humanoid‟s dimensions to the original human body structure the golden ratio used in the humanoid are: 1. Ratio of the distance of the elbow from the wrist to the distance of wrist from the tip of the finger is a golden ratio. Fig.3 Golden ratio for human hand 2. Ratio of the distance of navel from the bottom most part of the body and top most part is the golden ratio. Fig.4 Golden Ratio for Human Body B. Balancing The balancing of the weight is important in the dynamic conditions. After the static condition, during the locomotion of the humanoid there will be unbalance of the weight which needs to be balanced otherwise the robot may fall as the center of mass will shift to any out centered point. The mass distribution of the entire mass of the humanoid is made in the form of a triangular form. Fig. 5: Center of gravity and load stability Fig. 6: Weight Distribution of the humanoid The main reason of selecting the weight distribution in a triangular shape is that the center of gravity is the lowest in comparison to all the other shapes. Fig. 7: Center of Gravity and Load Stability The fact that we as humans are bipeds and locomote over the ground with one foot in contact (walking), no feet in contact (running), or both feet in contact (standing) creates a major challenge to our balance control system. Because two-thirds of our body mass is located two-thirds of body height above the ground we are an inherently unstable system unless a control system is continuously acting. The purpose of this review is to introduce the reader to the basic anatomy, mechanics, and neuromuscular control that is seen in the current literature related to balance control. III. FINAL DESIGN AND VALIDATION The final design of the humanoid considering the golden ratio parameters are as shown in the figure.
  • 3. Design Validation and Analysis of a Humanoid Robot (IJSRD/Vol. 3/Issue 10/2015/085) All rights reserved by www.ijsrd.com 421 Fig. 8: Design of Our Humanoid Fig. 9: Design of NAO REFERENCES [1] R. Hirose and T. Takenaka. Development of the humanoid robot ASIMO. Honda R&D Technical Review, 13(1), 2001. [2] S. Kagami, K. Nishiwaki, T. Sugihara, JJ Kuffner Jr, M. Inaba, and H. Inoue. Design and implementation of software research platform for humanoid robotics: H6. In IEEE International Conference on Robotics and Automation, 2001. Proceedings 2001 ICRA, 2001. [3] S. Hashimoto, S. Narita, H. Kasahara, K. Shirai, T. Kobayashi, A. Takanishi, S. Sugano, J. Yamaguchi, H. Sawada, H. Takanobu, et al. Humanoid robots in Waseda UniversityHadaly-2 and WABIAN. Autonomous Robots, 12(1):25–38, 2002. [4] K. Kaneko, F. Kanehiro, S. Kajita, H. Hirukawa, T. Kawasaki, M. Hirata, K. Akachi, and T. Isozumi. Humanoid robot HRP-2. In 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04, volume 2, 2004. [5] K. Akachi, K. Kaneko, N. Kanehira, S. Ota, G. Miyamori, M. Hirata, S. Kajita, and F. Kanehiro. Development of humanoid robot HRP-3P. In Humanoid Robots, 2005 5th IEEE-RAS International Conference on, pages 50–55, 2005. [6] D. Katz, E. Horrell, Y. Yang, B. Burns, T. Buckley, A. Grishkan, V. Zhylkovskyy, O. Brock, and E. Learned- Miller. The UMass mobile manipulator uMan: An experimental platform for autonomous mobile manipulation. In Workshop on Manipulation in Human Environments at Robotics: Science and Systems, 2006. [7] F. Zacharias, C. Borst, M. Beetz, and G. Hirzinger. Positioning Mobile Manipulators to Perform Constrained Linear Trajectories. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. IROS 2008, pages 2578–2584, 2008. [8] T. Inamura, K. Okada, S. Tokutsu, N. Hatao, M. Inaba, and H. Inoue. HRP-2W: A humanoid platform for research on support behavior in daily life environments. Robotics and Autonomous Systems, 2008. [9] RO Ambrose, RT Savely, SM Goza, P. Strawser, MA Diftler, I. Spain, and N. Radford. Mobile manipulation using NASA‟s robonaut. In 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04, volume 2, 2004. [10]TB Lauwers, G.A. Kantor, and RL Hollis. A dynamically stable singlewheeled mobile robot with inverse mouse-ball drive. In Proceedings of the 2006 IEEE International Conference on Robotics and Automation. [11]M. Inaba, T. Igarashi, S. Kagami, and H. Inoue. A 35 DOF humanoid that can coordinate arms and legs in standing up, reaching and grasping an object. In Intelligent Robots and Systems’ 96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on, volume 1, 1996. [12]F. Kanehiro, K. Kaneko, K. Fujiwara, K. Harada, S. Kajita, K. Yokoi, H. Hirukawa, K. Akachi, and T. Isozumi. The first humanoid robot that has the same size as a human and that can lie down and get up. In IEEE International Conference on Robotics and Automation, 2003. Proceedings. ICRA’03, volume 2, 2003. [13]J. Stuckler, J. Schwenk, and S. Behnke. Getting back on two feet: Reliable standing-up routines for a humanoid robot. In Proc. of The 9th International Conference on Intelligent Autonomous Systems (IAS9), Tokyo, Japan, pages 676–685, 2006. [14]S. Kuindersma, E. Hannigan, D. Ruiken, and R. Grupen. Dexterous Mobility with the uBot-5 Mobile Manipulator. In 14th International Conference on Advanced Robotics (ICAR’09), 2009. [15]U. Nagarajan, A. Mampetta, G. Kantor, and R. Hollis. State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot. In Intl. Conf. on Robotics and Automation, 2009. [16]MW Spong and DJ Block. The Pendubot: a mechatronic system for control research andeducation. In Decision and Control, 1995 ., Proceedings of the 34th IEEE Conference on, volume 1, 1995. [17]J. Morimoto and K. Doya. Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. Robotics and Autonomous Systems, 36(1):37–51, 2001.
  • 4. Design Validation and Analysis of a Humanoid Robot (IJSRD/Vol. 3/Issue 10/2015/085) All rights reserved by www.ijsrd.com 422 [18]C. Schmidt-Wetekam, D. Zhang, R. Hughes, and T. Bewley. Design, optimization, and control of a new class of reconfigurable hopping rovers. In Decision and Control, 2007 46th IEEE Conference on, pages 5150– 5155, 2007. [19]K. Terada, Y. Ohmura, and Y. Kuniyoshi. Analysis and control of whole body dynamic humanoid motion- towards experiments on a rolland-rise motion. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, (IROS), 2003. [20]J.Y. Lew and WJ Book. Bracing micro/macro manipulators control. In 1994 IEEE International Conference on Robotics and Automation, 1994. Proceedings., pages 2362–2368, 1994. [21]S. Kagami, K. Nishiwaki, T. Sugihara, JJ Kuffner Jr, M. Inaba, and H. Inoue. Design and implementation of software research platform for humanoid robotics: H6. In IEEE International Conference on Robotics and Automation, 2001. Proceedings 2001 ICRA, 2001.