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We present the realization of quick turning motion of a humanoid robot on its toes via slipping between its feet and the floor. A rotation model is described on the basis of our hypothesis that turning via slip occurs as a result of minimizing the power caused by floor friction. Using the model, the trajectory of the center of the foot can be generated to realize the desired rotational angle. Toe joints are used to realize quicker turningmotion, while avoiding excessive motor load due to frictional torque. Quick slip-turn motion with toe support is successfully demonstrated using a humanoid robot HRP-4C.
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Quick Slip-TurnofHRP-4C onits Toes
KanakoMiura, FumioKanehiro, KenjiKaneko, ShuujiKajita, and KazuhitoYokoi
Abstract Wepresent the realizationofquickturning motion
of ahumanoidrobot on itstoes viaslippingbetween itsfeet
and the floor.Arotationmodel isdescribedonthe basisof
ourhypothesisthat turning viaslip occursasaresult of
minimizing the power causedby floorfriction.Using the model,
thetrajectory of thecenter of thefoot can begenerated to
realizethe desiredrotationalangle.Toejoints are usedtorealize
quicker turning motion, while avoiding excessivemotorloaddue
to frictionaltorque.Quickslip-turnmotionwith toesupportis
successfullydemonstrated using a humanoidrobot HRP-4C.
I. INTRODUCTION
In general,current humanoidrobot locomotion assumes
no slipcontacts.Asaresult,robotstend totakemanysmall
steps when turning in one place; thus,aconsiderable amount
of timeisrequired tocompletethe turning motion. Taking
these small stepsresults in inefficientenergy consumption
andinadequate stability.Therefore,webelievethat theuse
of slipisimportant for realizing quick and smoothturning
motion.
Issues regarding the proactiveuseof slipfor humanoid
motion havebeen addressedinsome studies.The rst
publishedreporton rotation usingslip may be attributed to
Takahashi[1],who filed aJapanesepatent application in
Honda during the secret development ofhumanoids.Itwas
claimed that aquick turn is realized when arobot places all
its legson theoorandmovesthemwhile maintaininga
uniform ground reaction force. Subsequently,Nishikawa[2]
proposed amechanical system using slipfor enabling biped
robotstoturn. Koeda etal.[3] studied the application ofslip
totheturning motion ofasmallhumanoidrobot HOAP-2.
Ahuman-sized humanoid robot WABIAN-2R successfully
demonstrated quick slip-turn motion through 80 degrees in
1.5 s supported by the toe and theheel [4]. Some studies [2]
[4]havereportedthat robotscan consume up to 60 percent
less energy by turning using slip,ascompared toturning in
steps.However,thephysical model ofturn viasliphas not
been developed thus far.
The slipphenomenon has already been discussed, and
our hypothesishas been demonstrated using humanoidrobot
platforms HRP-2 [5]and HRP-4C [6] [7].However,the
demonstrated motions were slow; therefore, wepresent a
video showing therealization ofquick and highlysophis-
ticated slip-turn motion by humanoidrobots.
All authors are with Humanoid Research Group, Intelligent
SystemsResearch Institute, National Institute of Advanced
Industrial Science and Technology,Tsukuba 305-8568,
Japan. {kanako.miura, f-kanehiro, k.kaneko,
s.kajita, kazuhito.yokoi }@aist.go.jp
II. SLIP MODEL
First,wehypothesize that turning viaslipoccurs as aresult
of minimizing thepower caused by oor friction.
ω=argmin
˜ω{Pω)}(1)
where ωdenotes the angular velocityof therobot,and Pis
the total power generated on both soles.
Ahumanoidrobot can be modeledasasetof rigidbodies;
wedefinethe robotsbaseframe ΣBon thepelvis, with the
orientation parallel tothe frontal direction ofthe pelvislink.
The origin ofthe worldframe ΣWis its projection on the
oor at thebeginning of therobotsmotion. It isassumed that
thecenter ofmass iscoincidentwith theorigin ofthebase
frame soas tosimplifythe model.Weconstrainthe left-foot
motion to besymmetrical withtheright-foot motion about
theorigin ofthe baseframe. Inaddition, wedo not change
thefoot direction.
Onthebasisof our hypothesis,weobtainthe following
expression of the angular velocityω.Notethat the detailed
explanation isprovided in[6].
ω=12(YBvxXBvy)
12(X2
B+Y2
B)+l2
x+l2
y
(2)
where XBand YBdenotetheposition ofthecenter ofthe
sole,vxand vyrepresent the velocitycomponentsofv,and
lxand lydenotethe lengthand width ofthe sole,along the
x-andy-axesofthe baseframe, respectively,as shownin
Fig.1.This equationrelates thegiven velocity v(vx,v
y)to
the angular velocityω.
Bycalculating the timeintegral of (2) through themotion,
thetotal rotation angleisobtained. However,theinverse
problem cannot be solved using this model becausethere are
severaldifferenttrajectories for realizingthesamerotational
W
v
X
Y
B
B
BB
r
Fig. 1. Denitions of variables inthe equations.Left: position of robot’s
foot for (2). Right: arc trajectory ofboth feet for (3).
2012 IEEE International Conference on Robotics and Automation
RiverCentre, Saint Paul, Minnesota, USA
May 14-18, 2012
978-1-4673-1404-6/12/$31.00 ©2012 IEEE 3527
angle. It isadvisablefor arobot toselect themosteffective
motion torealize the desired rotational angle, whichmaxi-
mizes the angular velocitywiththesame magnitude as the
given velocity.The velocity vector of thefoot that maximizes
ωhas been found to be perpendicular tothe position vector
ofthecenter ofthefoot[7].Thevelocity that satisfies this
condition yieldstoanarctrajectory,thecenter ofwhich is
coincidentwith thecenter ofpressureassumedto be exactly
thesame asthe midpoint of right and left feet.
The slip-turn motion for realizing the desired rotational
angleθcan be generated by the equation
ξ=12|r|2+l2
x+l2
y
12|r|2θ(3)
where ξdenotes the anglebetween theinitial and final
position vectorsofthearctrajectory,andrrepresents the
current position vector of the center ofthe robot’s sole, which
isequal tothe radius of the arc, as showninFig. 1.
III. MOTION ACCELERATION BYTOE SUPPORT
When afoot turns withoor slip,the frictional torque
occurs as areactiveforce. It is determined by integrating
theproduct ofthe frictional force and the moment arm over
therobots sole.Thus,the powerPrequired by the robot to
twirlits footon theooris expressed as
P=τω =µNf(lx,l
y)ω(4)
f(lx,l
y)=g(α)ld(5)
g(α)=1+α2
121α2log1α2+1
α+1α2
12αlogα+1
1α2(6)
where τisthefrictional torque, ωisthe angular velocityas
in(1), µisthefriction coefcient between therobots sole
and the oor,Nisthenormal force, ld=l2
x+l2
y,lx=αld,
and ly=1α2ld.Notethat the valueofPis notthesame
as the power Prequired torotatethe entirebody in(1).
The function ofthe lengthand width ofthe solef(lx,l
y),
givenin(5) and (6), isdetermined by the diagonal lengthld
andtheratio α; the former is the dominant factor affecting
f(lx,l
y).
From (4), it can be inferred that the quicker arobot turns,
thegreater is thepower requiredagainst τω.However,the
motorpower of arobot islimited. Therefore, thefrictional
torque τhas to bereduced; this can be achieved by decreas-
ingµ,N,orld.
Weadopt thethird solution, i.e., decreasing ldby using
thetoejoints ofHRP-4C[8].Themotion ofthetoelink
is generated on the basisofcubic polynomials; the initial,
maximum, and nal angles of thetoe jointsare connected
during the toesupport period. The maximum angleofthe
toejoint is setat the middleofthe period.
IV.DEMONSTRATION WITH HRP-4C
Slip-turn motion withtoesupport was demonstrated using
humanoid robot HRP-4C.Inaddition, we used our latest
controller [9] [10]to allowmotionwith an extremely small
stability margin.Theparametersforthefoottrajectorywere
Fig. 2. HRP-4C turning on its toes.Total motion period: 3.0[s],toe support
period: 1.2[s],turning period: 1.05[s],and maximumangle oftoe joint:
30.0[deg].
|r|=0.143[m], ξ=90.0[deg], and expected θ=84.7[deg].
Snapshots ofHRP-4C taken every 0.3sareshowninFig.
2. The resultant rotational anglewas 93.1[deg], and it was
larger than the expected angle. This may attributed to alarge
velocityof motion, whichinduces non-negligibleinertial
force.
V.CONCLUSIONS
Wedemonstrated quick turning motion ofHRP-4C using
slipbetween itsfeet and the ground. The foot trajectory was
generatedunder the hypothesisthat turning viaslipoccurs
as aresultofminimizing the powercaused by oor friction.
Torealize quicker motion, thetoe jointsof therobot were
utilized to reduce thefrictional torque.
REFERENCES
[1] H.Takahashi, Legged locomotion robot and its walking control
system,JapanesePatent 2 911 985, Apr.9, 1999.
[2] M.Nishikawa,Walking robot,JapanesePatent 4 508 681, Sept. 8,
2010.
[3] M.Koeda, T.Ito, and T.Yoshikawa, “Shuffle turn with both feet of
humanoid robot by controlling load distribution ofsoles,in Proc.
12th International Conference on Climbing and Walking Robots and
the SupportTechnologies for Mobile Machines (CLAWAR2009),2009,
pp. 1007–1014.
[4] K.Hashimoto, Y.Yoshimura, H.Kondo, H. ok Lim,and A.Takanishi,
“Realization ofQuick Turn of Biped Humanoid Robot by Using
Slipping Motion with Both Feet,in Proc. IEEE Int. Conf.on Robotics
and Automation,2011, pp. 2041–2046.
[5]K.Miura,M.Morisawa, S.Nakaoka, K.Harada, and S.Kajita,
Afriction based “twirl” for biped robots,inProc.8thIEEE-RAS
International Conference on Humanoid Robots,2008, pp. 279–284.
[6]K.Miura,S.Nakaoka, F.Kanehiro, K.Harada, K.Kaneko, K.Yokoi,
and S.Kajita, Analysis on aFriction Based “Twirlfor Biped
Robots,inProc. IEEE Int. Conf.on Robotics and Automation,2010,
pp. 4249–4255.
[7]K.Miura,F.Kanehiro, K.Harada, K.Kaneko, K.Yokoi, and S.Kajita,
“Slip Turn Generation ofHumanoid Robots Based on an Analysis of
Friction Model,inProc. 13th International Conference on Climbing
and Walking Robots and the SupportTechnologies for Mobile Ma-
chines (CLAWAR2010),2010, pp. 761–768.
[8] K.Kaneko, F.Kanehiro, M.Marisawa, T.Tsuji, K. Miura, S. Nakaoka,
S.Kajita, and K.Yokoi, “HardwareImprovement of Cybernetic
HumanHRP-4C for EntertainmentUse,inProc.on IEEE Int.Conf.
on Intelligent Robots and Systems,2011, pp. 4392–4399.
[9]S.Kajita, M.Morisawa, K.Miura, S.Nakaoka, K.Harada, K.Kaneko,
F.Kanehiro,and K.Yokoi, “Biped Walking Stabilization Based on
Linear Inverted Pendulum Tracking,inProc.on IEEE Int.Conf.on
Intelligent Robots and Systems,2010, pp. 4489–4496.
[10] K.Miura, M.Marisawa,F.Kanehiro, S.Kajita, K.Kaneko, and
K. Yokoi, “Human-likeWalking with ToeSupporting for Humanoids,
in Proc. on IEEE Int. Conf.on Intelligent Robots and Systems,2011,
pp. 4428–4435.
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... Together with the utilization of toe joints, the robots could reach higher mobility, allowing for effective and quick slip-turning using the toes as contact points (Miura et al., 2013). These studies have demonstrated that utilizing these toe joints enables the robots to perform slip-turning motions by minimizing friction-induced power generation and maintaining foot contact on a small support area for a short duration (Miura et al., 2012). Meanwhile, the plantar intrinsic muscle (PIM), which connects to the toes underneath the foot, plays a role in stiffening the toe joints, preventing them from over-dorsiflex or floating toes, possibly leading to improved postural stability and balance during an unstable state (Ku et al., 2012;Ferrari et al., 2020;Fujimaki et al., 2021). ...
... The slip-turn was previously demonstrated by some motordriven robots: WABIAN-2 (Hashimoto et al., 2011), HRP-4C (Miura et al., 2012), and others (Yeon and Park, 2014). Contrary to these robots, the slip-turning of our musculoskeletal robot refers to human biomechanics, where the slip-turning often occurs shortly for a small duration during walking. ...
... The results of frictional torque revealed a noticeable change in frictional torque at 0.2 s, as depicted in Figure 9B. The foot with the toe joint exhibited a smaller frictional torque during the motion, likely attributed to the reduction in the foot contact area and its diagonal length (Miura et al., 2012), as illustrated in Figure 9A. ...
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Legged locomotion robot and its walking control system
  • H Takahashi
H. Takahashi, "Legged locomotion robot and its walking control system," Japanese Patent 2 911 985, Apr. 9, 1999.