Sage Journals: Discover world-class research

Abstract

The characteristic features of underactuated finger are compact structure, large grasping force, and simple operation. It has a wide application prospect in the fields of industrial robot, humanoid robot, human artificial limb, and space robot. A new type of fully rotating joint linkage-based underactuated mechanism is proposed, and a new method based on the law of minimum resistance is presented to realize the equivalent mechanism at different contact conditions of the finger and the kinematical analysis based on the equivalent mechanism. The kinematic equations and the limit moving position of the mechanism are derived using the proposed method. Finally, the numerical simulation is carried out by MATLAB program. The correctness and effectiveness of the proposed method are verified. The simulation results show that the proposed mechanism has a large grasp space and can achieve good grasp trajectory.

Keywords

Underactuated finger mechanism equivalent mechanism kinematical analysis

Introduction

In robot hand design, there are various differences in performance indicators such as volume, weight, and flexibility. In order to reduce the size and weight of the robot hand, it is generally handled through changing structure or material. High-strength aluminum alloy is usually used in the manufacture of robot hand. Carbon fiber-reinforced polymers have been researched and also used for manufacture. It has characteristics of high resistance to tension, good antivibration, and low density; however, the price is very expensive and the technology is not mature. Therefore, a more effective way is to optimize the structure of the robot hand by changing transmission mode and reducing the number of drivers. Underactuated finger mechanism has the feature that the number of drivers is less than the joint degrees of freedom. In this article, the underactuated finger mechanism is adopted. This mechanism can make robot hand grasp objects with different shapes and sizes. Thus, underactuated finger mechanism becomes an important research direction in dexterous robotic hands field. Changing transmission mode will be introduced in the following.¹

Underactuated robot finger generally uses tendon driven, friction wheel, or linkage mechanism with elastic element. The design of tendon finger mechanisms was first proposed by Mullen in patent in 1972.² Since then lots of research have also used tendon-driven mechanism. Sabetian et al.³ proposed a compound robotic hand, which consisted of two underactuated tendon-driven fingers and a single-section continuous finger. Niola et al.⁴ proposed an underactuated tendon-driven mechanical hand of five fingers. Andrianesis et al.⁵ developed a multifunctional prosthetic hand with shape-memory alloy actuators, which used tendon-driven underactuated mechanism to provide the necessary dexterity. Ma et al.⁶ presented a minimalist, four-finger hand comprising two pairs of tendon driven. As the tendon rope can bear limited pull, when the friction of the joints increased, the elastic deformation of the tendon will bring bad influence on the performance of the finger; thus, the tendon-driven underactuated mechanism could only be applied to some specific applications where the work load and finger contact force are small.⁷

In order to realize underactuated finger which has compact structure and large holding force, the underactuated linkage mechanism must be adopted in design and manufacture. In the study of underactuated linkage finger mechanism, Gosselin⁸ proposed a patent in 1998. The thumb of TH-1⁹ hand and TH-2¹⁰ hand of Tsinghua University proposed by Zhang et al. also used linkage mechanism, but the translational stroke is very limited, and the finger grasping force is small. Besides that, Begoc et al.¹¹ reported a pneumatical underactuated hand that can realize adaptive grasping of different objects. However, pneumatic system has big volume and weight and complex control. Shin et al.¹² proposed a humanoid robot hand, each finger has four links and three joints, and joints 2 and 3 are coupled by the four-bar linkage mechanism. Kim et al.¹³ suggested a design of a novel gripper using a spherical five-bar linkage mechanism. In addition, Wu et al. proposed an underactuated linkage finger mechanism,¹⁴ which has compact structure, and it can realize large grasping force. Since the mechanism contains a sliding joint with spring, the phalanxes need embed in its body a slider, a guide rail and a spring to form the sliding joint. These tiny elements make the phalanx is inconvenient to product and maintain. In order to overcome this problem, it is better to adopt fully rotational joint underactuated linkage finger mechanism. Zottola and Ceccarelli¹⁵ reported a kind of fully rotational joint underactuated linkage finger mechanism. However, phalanxes 2 and 3 of the mechanism proposed by Zottola and Ceccarelli¹⁵ are separated, that is, there are some unfixed space between phalanxes 2 and 3. Therefore, in some states, for example, when phalanxes 1 and 2 reach the object and are fixed, the distance between phalanxes 2 and 3 will be changed as the grasping move of phalanx 3, as shown in Figure 4 of the literature¹⁵. A new fully rotational joint underactuated linkage finger mechanism is proposed in this article to overcome these disadvantages.

In the design and analysis of underactuated finger mechanism, Seyoung¹⁶ presented the development of a self-adaptive hand for performing dexterous manipulation tasks with the differential driving module. Alireza proposed a new approach to flexible multijoint robot finger mechanism, which consists of three links and is similar to a human finger.¹⁷ Mishima et al.¹⁸ designed a new underactuated robotic finger using a special transmission mechanism. The transmission mechanism consists of a set of gears and a spring to produce connected motions and adaptive curling. Petkovi et al.¹⁹ analyzed a kinetostatic model of the underactuated finger mechanism. The underactuation is achieved by adding the compliance in every finger joint and uses adaptive neuro-fuzzy inference system as the soft computing method to perform the prediction of the finger contact forces. Wu et al.^20,21 finished modeling and kinematic analysis of static underactuated linkage mechanism simulated by MATLAB and completed the mechanical design and dynamic simulation of different adaptive mechanism grasping. Overall, the design of the underactuated linkage finger mechanism is still based on intuition, bionic, or simulation adjustment.²² There is no complete theory of kinematic analysis of such complex underactuated linkage finger mechanism so far.

In the discipline of the underactuated mechanism movement, the research mainly focuses on the law of minimum resistance. Dong²³ used the law of minimum resistance to analyze how to determine mechanism motion when the degrees of freedom unequal to the numbers of driving link of mechanism. Li et al.²⁴ discussed the discipline of the underactuated mechanism movement and validated the law of minimum resistance. Wang et al.²⁵ mentioned that the law of minimum resistance is the basic law for mechanisms which have variable degrees of freedom, and it is the basic design foundation of underactuated mechanisms. It is easy to conclude the motion state of the mechanism when the law of minimum resistance is used.

In this article, a new method based on the law of minimum resistance is presented to derive equivalent mechanisms, and then kinematic problems were analyzed and solved based on the equivalent mechanisms.

Proposed underactuated finger mechanism and its prototype

The underactuated finger mechanism proposed in this article is shown in Figure 1, including eight links and two torsion springs. Link 1 is the base, while link 2, link 6, and link 8 represent the three phalanxes. A, B, C, D, E, F, G, and H points are rotational joints. The torsion spring 1 is located between link 3 and link 4, and it rotates around joint C. The torsion spring 2 is located between link 5 and link 7, and it rotates around joint D. The only motor is installed on point B and drives link 3 directly.

Figure 1.

A fully rotational joint connecting finger mechanism proposed in this article.

When the finger begins to grasp objects, the motor rotates clockwise, drives link 3 through joint B, drives link 4 through joint C, drives link 5 and link 7 through joint D, and drives link 6 (phalanx 2) and link 2 (phalanx 1) through joint F. Link 6 (phalanx 2) and link 7 drive link 8 (phalanx 3) to move through joint G and joint H, respectively. When the finger contacts with the object completely, the enveloping grasping is finished.

In Figure 2, a finger is built using the proposed mechanism. Besides, a test bed named Minzu University Hand is also developed. As shown in Figure 3, the Minzu University Hand has three same underactuated fingers with the proposed mechanism. These three fingers can change relative positions around the flat palm according to different catching objects.

Figure 2.

A prototype finger built in Minzu University with the proposed mechanism.

Figure 3.

Scheme of a three-finger hand (Minzu University Hand) with the proposed mechanism.

Equivalent mechanisms deriving

An underactuated finger mechanism always needs many links and complicated structure to fulfill the underactuated motion, for example, the proposed mechanism as shown in Figure 1. Therefore, underactuated finger mechanism gives an open problem of analysis and design for this kind of complex mechanism.

In this article, a method based on the law of minimum resistance is proposed. The minimum resistance law indicates that a mechanism with more degrees of freedoms than the number of driving links will move along the direction of minimum resistance. Using the minimum resistance law, the proposed method derives some equivalent mechanisms according to different positions of the underactuated finger mechanism (i.e. the different contact conditions of the target object). These equivalent mechanisms usually are very simple mechanisms, for example, four-bar linkage. Therefore, analysis and design of the complex mechanism can easily fulfill according to these simple equivalent mechanisms.

The initial state of the finger mechanism, as shown in Figure 4, is in free state generally, that is, all the phalanxes have no contact with any object. Obviously, when the finger is in free state, since the resistance of phalanx’s forward movement is zero in theory, smaller than spring deformation, the springs will keep the initial length and have no deformation. In this case, the links connected by spring are equivalent to a fixed link, and it can be regarded as a virtual link. Both link 3 and link 4 can be regarded as a virtual link 9, namely, dashed line BD as shown in Figure 4. Links 5, 6, 7, 8 and spring 2 can be regarded as another virtual link 10, namely, dashed line DF as shown in Figure 4. Therefore, the proposed finger mechanism can be simplified to an equivalent mechanism, namely, four-bar linkage ABDF as shown in Figure 4.

Figure 4.

Equivalent finger mechanism in different states.

When phalanx 1 touched the object, due to the restrictive effect of the object, link 2 (phalanx 1) stops rotating, while phalanxes 2 and 3 are still in free state. Obviously, the resistance of pressing the object by phalanx 1 is bigger than deformation of spring 1, the torsion spring 1 is stretched. Because phalanx 2 and phalanx 3 are in free state, spring 2 will have no deformation, links 5, 6, 7, 8 and spring 2 can still be regarded as the virtual link 10. At this point, the finger mechanism can be simplified to an equivalent mechanism: four-bar linkage BCDF as shown in Figure 4.

When phalanx 2 touched the object, due to the restrictive effect of the object, link 6 (phalanx 2) stops moving, link 8 (phalanx 3) keeps moving through motor driving. When link 4 drives links 5 and 7 through joint D, spring 2 is stretched. Thus the proposed finger mechanism becomes a six-bar linkage, and it can also be considered as two-cascaded four-bar linkages BCDE and EDHG as shown in Figure 4.

When phalanx 3 touched the object, due to the restrictive effect of the object, link 8 (phalanx 3) stops moving, links 6 (phalanx 2) and 2 (phalanx 1) cannot move either, that means the grasping movement is finished.

The deriving procedure reveals that the proposed underactuated mechanism is essentially driven by some simple equivalent mechanisms at different grasping stages. Therefore, the kinematic analysis of the finger mechanism can be easily fulfilled with these simple equivalent mechanisms, as described in the following section.

Kinematic analysis

In order to analyze the positional kinematics of the finger at different stages (i.e. the different contact states of the target object), the kinematic analysis of the equivalent mechanism of each stage is carried out.

In stage 1, without any external contact, the equivalent mechanism is a four-bar linkage ABDF as shown in Figure 5. l_i refers to the length of link i, i = 1, 2, … , 14. l₉ indicates the length between point B and point D and it can be considered as the length of link 9. l₁₀ indicates the length between point D and point F and it can be considered as the length of link 10. θ_i refers to the angle between x-axis and link i, i = 1, 2, … , 12. δ₁ is the angle between x-axis and link 1, δ₄ is the angle between link 9 and link 3, and θ_s1 is the initial angle of the spring 1.

Figure 5.

Completely free state.

The four-bar linkage ABDF can be considered as a closed vector polygon, and the motion parametric equation can be deduced as

l_{1} e^{i δ_{1}} + l_{2} e^{i θ_{2}} = l_{9} e^{i θ_{9}} + l_{10} e^{i θ_{10}}

where $l_{9} = \sqrt{l_{3}^{2} + l_{4}^{2} - 2 l_{3} l_{4} \cos θ_{s 1}}$ and θ₉ = θ₃ − δ₄.

According to the motor rotation angle θ₃, θ₂ and θ₁₀ can be calculated using equation (1) as

θ_{10} = 2 \arctan \frac{B \pm \sqrt{A^{2} + B^{2} - C^{2}}}{A - C}

θ_{2} = \arctan \frac{B + l_{10} sin θ_{10}}{A + l_{10} \cos θ_{10}}

where A = l₉ cos θ₉ − l₁ cos δ₁, $B = l_{9} sin θ_{9} - l_{1} sin δ_{1}$ , and $C = (A^{2} + B^{2} + l_{10}^{2} - l_{2}^{2}) / 2 l_{10}$ . When solving the angles using the cosine theorem (shown in equation (2)), the symbol ± can be determined according to the coherence of the motion, the same below.

In stage 2, phalanx 1 touched the object while phalanxes 2 and 3 are kept free, the equivalent mechanism is a four-bar linkage BCDF as shown in Figure 6. θ₂ indicates the angle between link 2 and positive of x-axis. l₁₁ indicates the length between point B and point F and it can be considered as the length of link 11.

Figure 6.

Phalanx 1 was constrained.

The four-bar linkage BCDF can be considered as a closed-vector polygon, and the motion parametric equation can be deduced as

l_{3} e^{i θ_{3}} + l_{4} e^{i θ_{4}} = l_{11} e^{i θ_{11}} + l_{10} e^{i θ_{10}}

where l₁₁ and θ₁₁ can be calculated using equations (5) to (7) as

δ_{6} = θ_{2} - δ_{1} - π

θ_{11} = δ_{5} - δ_{1}

l_{11} = \sqrt{l_{1}^{2} + l_{2}^{2} - 2 l_{1} l_{2} \cos δ_{6}}

According to the motor rotation angle θ₃, θ₄, and θ₁₀ can be calculated using equation (4) as

θ_{10} = 2 \arctan \frac{B \pm \sqrt{A^{2} + B^{2} - C^{2}}}{A - C}

θ_{4} = \arctan \frac{B + l_{10} sin θ_{10}}{A + l_{10} \cos θ_{10}}

where $A = l_{11} \cos θ_{11} - l_{3} \cos θ_{3}, B = l_{11} sin θ_{11} - l_{3} \cos θ_{3}$ , and $C = (A^{2} + B^{2} + l_{10}^{2} - l_{4}^{2}) / 2 l_{10}$ .

The angle of torsion spring 1 $(θ_{s 1})$ at joint C, which varies according to the movements of links 3 and 4, satisfies

θ_{s 1} = θ_{4} + π - θ_{3}

When θ₄ is obtained, θ_s1 can be calculated using equation (10).

In stage 3, both phalanxes 2 and 3 touched the object, while phalanx 3 is kept free, the equivalent mechanism is two-cascaded four-bar linkages BCDE and EDHG as shown in Figure 7. l₅, l₈, and l₁₂ refer to the length between point D and point E, point I and point G, point B and point E, respectively. l₁₂ can be considered as the length of link 12. δ₂, δ₃, and δ₇ are the angles between EF and FG, EG and FG, BF and EF, respectively. θ_s2 indicates the angle of torsion spring 2.

Figure 7.

Phalanxes 1 and 2 were constrained.

The four-bar linkage BCDE can be considered as a closed-vector polygon, and the motion parametric equation can be deduced as

l_{3} e^{i θ_{3}} + l_{4} e^{i θ_{4}} = l_{12} e^{i θ_{12}} + l_{5} e^{i θ_{5}}

where $l_{12} = \sqrt{l_{11}^{2} + l_{13}^{2} - 2 l_{11} l_{13} \cos δ_{7}}$ and $θ_{12} = δ_{8} - θ_{11}$ .

According to the motor rotation angle θ₃, θ₅ and θ₄ can be calculated using equation (11) as

θ_{5} =2 \arctan \frac{B \pm \sqrt{A^{2} + B^{2} - C^{2}}}{A - C}

θ_{4} = \arctan \frac{B + l_{5} sin θ_{5}}{A + l_{5} \cos θ_{5}}

where $A = l_{12} \cos θ_{12} - l_{3} \cos θ_{3}, B = l_{12} sin θ_{12} - l_{3} sin θ_{3}$ , and $C = (A^{2} + B^{2} + l_{5}^{2} - l_{4}^{2}) / 2 l_{5}$ .

The four-bar linkage EDHG can be considered as a closed-vector polygon, and the motion parametric equation can be deduced as

l_{5} e^{i θ_{5}} + l_{7} e^{i θ_{7}} = l_{14} e^{i θ_{14}} + l_{8} e^{i θ_{8}}

where $θ_{14} = θ_{6} - δ_{3} - π$ .

When θ₅ is calculated using equation (11) according to the motor rotation angle θ₃, θ₇ and θ₈ can be calculated using equation (14) as

θ_{8} = 2 \arctan \frac{B \pm \sqrt{A^{2} + B^{2} - C^{2}}}{A - C}

θ_{7} = \arctan \frac{B + l_{8} sin θ_{8}}{A + l_{8} \cos θ_{8}}

where $A = l_{14} \cos θ_{14} - l_{5} \cos θ_{5}, B = l_{14} sin θ_{14} - l_{5} \cos θ_{5}$ , and $C = (A^{2} + B^{2} + l_{8}^{2} - l_{7}^{2}) / 2 l_{8}$ .

Limiting positions solving

In this article, the motion range of the finger mechanism is calculated by solving the forward motion limit of each equivalent mechanism. Analysis and solving process is described as follows. When the finger is in free state as shown in Figure 8, phalanx 1 will reach the limiting position when links 2 and 10 are in collinear positions. AF₂D₂B is the upward limiting position, AF₁D₁B is downward limiting position, and γ₁ indicates the maximum motion range of phalanx 1 in this state.

Figure 8.

The limiting position in free state.

According to Figure 8

γ_{1} = 2 π - 2 ∠ BA D_{1}

where $∠ BA D_{1} = \arccos (l_{1}^{2} + {(l_{2} + l_{10})}^{2} - l_{9}^{2}) / 2 l_{1} (l_{2} + l_{10})$ , and it can be deduced by the law of cosines in triangle ABD₁.

When phalanx 1 reached the limiting position, this will be the initial position of the second equivalent mechanism. Phalanx 2 can keep moving forward with the action of equivalent mechanism BCDF, and it will reach the limiting position when links 4 and 10 are in collinear positions (as shown in Figure 9). Therefore, the maximum motion range of phalanx 2 is γ₂.

Figure 9.

The forward limiting position of phalanx 2 when phalanx 1 reached limiting position.

According to Figure 9

γ_{2} = π - ∠ C_{1} F D

where $∠ C_{1} F D = ∠ B F D - ∠ C_{1} F B, ∠ B F D$ and $∠ C_{1} F B$ can be deduced by the law of cosines in triangle BFD and triangle C₁FB, respectively, $∠ B F D = \arccos (l_{10}^{2} + l_{11}^{2} - l_{9}^{2}) / 2 l_{10} l_{11}$ and $∠ C_{1} F B = \arccos ({(l_{4} - l_{10})}^{2} + l_{11}^{2} - l_{3}^{2}) / 2 l_{11} (l_{4} - l_{10})$ .

When phalanx 2 reached the limiting position, this will be the initial position of the third equivalent mechanism, the motor angle $(∠ CB X)$ and the angle between BE and x-axis $(∠ E G H)$ kept constant. As the motor keeps driving, phalanx 3 keeps moving forward with the action of equivalent mechanisms BCDE and EDHG, that is, the motor drives phalanx 3 to move by driving link 5. When BCDE or EDHG reaches the limiting position, phalanx 3 reaches the forward limiting position. When links 3 and 4 are in collinear positions, BCDE reaches the limiting position. When links 5 and 7 are in collinear positions, EDHG reaches the limiting position. The maximum motion range of phalanx 3 is γ₃.

As shown in Figure 10, when BCDE reaches the limiting position, the motor angle is $∠ C_{1} B X$ . According to Figure 10

Figure 10.

The limiting position of BCDE when phalanx 2 reached limiting position.

γ_{3} = ∠ H G H_{1} = ∠ H G X - ∠ H_{1} G X

∠ C_{1} B X = ∠ E B X - ∠ E B C_{1}

Substituting $∠ C B X, ∠ C_{1} B X$ can be calculated using equation (20), then put them into equation (12) to get ∠EDX and ∠EDX₁, respectively, then put them into equation (15) to get ∠HGX and ∠H₁GX, respectively, γ₃ can be calculated using equation (19), where $∠ E B C_{1} = \arccos ({(l_{3} + l_{4})}^{2} + l_{12}^{2} - l_{5}^{2}) / 2 l_{12} (l_{3} + l_{4})$ .

As shown in Figure 11, EDHG reaches the limiting position when ED₁H₁ in a line.

Figure 11.

The limiting position of EDHG when phalanx 2 reached limiting position.

According to Figure 11

γ_{3} = ∠ H G H_{1} = ∠ E G H_{1} - ∠ E G H

where $∠ E G H_{1} = \arccos (l_{14}^{2} + l_{15}^{2} - {(l_{5} + l_{7})}^{2}) / 2 l_{14} l_{15}$ .

Numerical simulation

In order to verify the correctness of evaluation methods of the kinematics equation and limiting positions, and verify the performance of the proposed mechanism, the numerical simulation is carried out using MATLAB in this article.

The simulation finger size is humanoid; the dimension and structure parameters, respectively, are shown in Tables 1 and 2; l_pi indicates the length of the phalanx shell; and h_p indicates the height of the phalanx shell (as shown in Figure 1). The design results are shown in Figure 12.

Table 1.

Dimension of the finger shape.

Phalanx no.	1	2	3
l_pi (mm)	54.0	34.0	28.5
h_p (mm)	19	19	19

Table 2.

Structure parameters of the finger mechanism.

i	1	2	3	4	5	6	7	8
l_i (mm)	7.8	54.5	15.0	54.1	14.0	34.0	40.0	7.6
δ_i (°)	76.2	107.3	16.2	–	115.0	95.8	142.0	6.7

Figure 12.

Sketch of the finger mechanism proposed in this article.

According to the evaluation method of limiting position in described in section “Kinematic Analysis,” the three phalanxes’ reachable space are obtained as shown in Figure 13, where $γ_{1} = 297.5 °, γ_{2} = 141.6 °$ , and $γ_{3} = 108.1 °$ . The whole finger achieved a very good movement space.

Figure 13.

Reachable space of the finger mechanism.

In this article, the whole process of grasping a cylindrical object is also simulated. Supposing the finger begins to grasp from the pose of horizontal straighten out (as shown in Figure 14), at this point the motor’s initial driven angle θ₃ is 90°, the initial angles of θ₂, θ₄, θ₅, θ₆, θ₇, and θ₈ are −8.0°, 8.5°, −17.1°, 0°, 0.5°, and 61.2°, respectively. The initial angles of θ_s1 and θ_s2 are 81.5° and 16.68°, respectively. The radius of the cylinder is 30 mm, and the center coordinates are (3.5, −44.2). Let driven angle θ₃ be continuously added with the step size of 5°, the simulation result of the fingers is shown in Figure 14. In Figure 14, the object is in the grasp range and it can be completely grasped by the finger. In addition, the grasp trajectory is smooth and uniform.

Figure 14.

Simulation result of the grasping process.

Figure 15 shows a grasping sequence of the underactuated finger mechanism, where Figure 15 shows that phalanx 1 reaches the object when θ ₃ = 60.0°, Figure 15 shows that phalanx 2 reaches the object when θ ₃ = 53.0°, Figure 15 shows that phalanx 3 reaches the object when θ ₃ = 40.0°.

Figure 15.

A grasp sequence of the designed finger.

Conclusion

In this article, a new type of fully rotational joint underactuated finger mechanism is proposed. In order to realize the kinematic analysis of the complex mechanism, a new method based on the law of minimum resistance is presented, which can be used to derive the equivalent mechanisms in different stages and then achieve the kinematic analysis. The kinematic equations of the mechanism are derived by the proposed method, and the kinematic limiting positions of each equivalent mechanism are obtained. Finally, the performance of the mechanism and the kinematics analysis method are verified by programming in MATLAB. The simulation results show that the proposed method can solve the kinematics of the underactuated finger mechanism easily, and the proposed mechanism can achieve grasping smoothly and uniformly in a large range of space.

Footnotes

Declaration of conflicting interests

The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by the NSFC projects (No. 51375504) and the Program for New Century Excellent Talents in University.

References

Luo

Yang

Mei

. The research status and progress of the robot hand. Robot Tech Appl 2008; 2: 24–35.

Mullen

Itsuki

Noda

(ed). Mechanical hand. Patent US3694021, USA, 1972.

Sabetian

Feizollahi

Cheraghpour

. A compound robotic hand with two under-actuated fingers and a continuous finger. In: 2011 IEEE international symposium on safety, security, and rescue robotics (SSRR) (ed Noda

), Kyoto, Japan, 1–5 November, 2011, pp. 238–244. IEEE, Piscataway, NJ 08854.

Niola

Rossi

Savino

. An underactuated mechanical hand. In: Ivana

Budinská

Ján

Cigánek

Štefan

Havlík

. (eds) Proceedings of the RAAD 2014 23rd international conference on Robotics in Alpe-Adria-Danube region, Smolenice Castle, Publishing House of Slovak University of Technology in Bratislava Slovakia, 3–5 September 2014, pp. 1–6.

Andrianesis

Tzes

. Development and control of a multifunctional prosthetic hand with shape memory alloy actuators. J Intell Robot Syst 2014; 78: 257–289.

Dollar

. An underactuated hand for efficient finger-gaiting-based dexterous manipulation. In: Yunhui

Liu

Yili

Duong

Ngoc Hai

Tim

Lueth

. (eds) 2014 IEEE international conference on robotics and biomimetics, Bali, Indonesia, 5–10 December 2014, pp. 2214–2219. IEEE, Piscataway.

Ceccarelli

. Fundamentals of mechanics of robotic manipulation. Dordrecht: Kluwer/Springer, 2004.

Gosselin

Laliberte

. Underactuated mechanical finger with return actuation. Patent US5762390, USA, 1998.

Zhang

Chen

Sun Zhenguo . Under-actuated humanoid robot hand with changeable grasping force. J Tsinghua Univ (Sci Technol) 2003; 43: 1143–1147.

10.

Zhang

Chen

Sun

. Passive adaptive grasp multi-fingered humanoid robot hand with high under-actuated function. In: 2004 IEEE international conference on robotics and automation, New Orleans, LA, April 2004, pp. 2216–2221. IEEE, ISBN-10: 0780382323.

11.

Begoc

Krut

Dombre

. Mechanical design of a new pneumatically driven underactuated hand. In: Seth

Hutchinson

Nancy

Amato

Stefano

Chiaverini

. (eds) 2007 IEEE international conference on robotics and automation, Roma, Italy, 10–14 April 2007, pp. 927–933. IEEE, Piscataway. ISBN: 1-4244-0602-1.

12.

Shin

Keun-Ho

Kyung-Soo

. Development of anthropomorphic robot hand with dual-mode twisting actuation and electromagnetic joint locking mechanism. In: 2013 IEEE international conference on robotics and automation (ICRA), Karlsruhe, Germany, 6–10 May, 2013, pp. 2759–2764. IEEE, Piscataway. ISBN: 978-1-4673-5641-1.

13.

Kim

. Design of spatial adaptive fingered gripper using spherical five-bar mechanism. In: Proceedings of the 2014 international conference on advanced mechatronic systems, Kumamoto, Japan, 10–12 August, 2014, pp. 145–150.

14.

Carbone

Ceccarelli

. Problems and a design solution for an underactuated finger mechanism. In: Proceedings of the international conference on information computing and automation (ICICA’07), Chengdu, China, 20–22 December 2007, pp. 373–376.

15.

Zottola

Ceccarelli

. Underactuated finger mechanism for LARM hand. In: Marco

Ceccarelli

Victor

A. Glazunov

(eds) Advances on theory and practice of robots and manipulators. Springer International Publishing

Switzerland

2014, pp. 283–291.

16.

Seyoung

Woohyeok

Sang-Rok

. Development of an underactuated robotic hand using differential gear mechanism. In: Youngjin

Choi

Nak

Young Chong

Dongheui

Lee

(eds) Proceedings of the 11th international conference on ubiquitous robots and ambient intelligence (URAI’2014), Kuala Lumpur, Malaysia, 12–25 November 2014, pp. 328–334.

17.

Ahrary

. A New approach to flexible multi-joint robot finger. In: Mohd

Nasir Taib

Rozita

Jailani

Mohd

Hezri Fazalul Rahiman

. (eds) 2014 IEEE 10th international colloquium on signal processing & its applications (CSPA’2014), Kuala Lumpur, Malaysia, 7–9 March 2014, pp. 1–4. IEEE Control System Society Chapter Malaysia.

18.

Mishima

Ozawa

. Design of a robotic finger using series gear chain mechanisms. In: Wolfram

Burgard

(editor in chief) 2014 IEEE/RSJ international conference on intelligent robots and systems, Chicago, IL, 14–18 September 2014, pp. 2898–2903. IEEE, Piscataway. ISBN: 978-1-4799-6933-3.

19.

Petković

Shamshirband

Abbasi

. Prediction of contact forces of underactuated finger by adaptive neuro fuzzy approach. Mech Syst Signal Process 2015; 64–65: 520–527.

20.

Carbone

Ceccarelli

. Designing an underactuated mechanism for a 1 active DOF finger operation. Mech Mach Theory 2009; 44(2): 336–348.

21.

Ceccarelli

. A numerical simulation for design and operation of an underactuated finger mechanism for LARM hand. Mech Based Des Struc Mach 2009; 37(1): 86–112.

22.

Birglen

Gosselin

. Kinetostatic analysis of underactuated fingers. IEEE Trans Robot Autom 2004; 20(2): 211–221.

23.

Dong

. Discussion on difficult problems in freedom calculation of mechanism and its motion analysis and mechanism of freedom modification. J Shanghai Inst Technol 2007; 7(2): 94–98.

24.

Ren

. Motion analysis and application research on the underactuated mechanism. Mech Res Appl 2010; 23(2): 29–31.

25.

Wang

Yan

Chen

. Study on motility of changing degrees of freedom planar rotary mechanism based on minimum resistance law of framework. J Hebei Univ (Sci Technol) 2012; 33(2): 122–125.

A fully rotational joint underactuated finger mechanism and its kinematics analysis

Abstract

Keywords

Introduction

Proposed underactuated finger mechanism and its prototype

Equivalent mechanisms deriving

Kinematic analysis

Limiting positions solving

Numerical simulation

Conclusion

Footnotes

Declaration of conflicting interests

Funding

References