Research Article | Open Access
Bingqi Liu, Mingzhe Liu, Xianghe Liu, Xianguo Tuo, Xing Wang, Shibo Zhao, Tingting Xiao, "Design and Realize a Snake-Like Robot in Complex Environment", Journal of Robotics, vol. 2019, Article ID 1523493, 9 pages, 2019. https://doi.org/10.1155/2019/1523493
Design and Realize a Snake-Like Robot in Complex Environment
Aiming at high performance requirements of snake-like robots under complex environment, we present a control system of our proposed design which utilizes a STM32 as the core processor and incorporates real-time image acquisition, multisensor fusion, and wireless communication technology. We use Solidworks to optimize the design of head, body, and tail joint structure of the snake-like robot. The system is a real-time system with a simple-circuit structure and multidegrees of freedom are attributed to the flawless design of control system and mechanical structure. We propose a control method based on our simplified CPG model. Meanwhile, we improve Serpenoid control function and then investigate how different parameters affect the motion gait in terms of ADAMS emulation. Finally, experimental results show that the snake-like robot can tackle challenging problems including multi-information acquisition and processing, multigait stability, and autonomous motion and further verify the reliability and accuracy of the system in our combinatory experiments.
With the rapid development of science and technology, bionic robots, especially snake-like robots, have been widely used in military, civil and space, and other fields [1–5]. Robots can demonstrate advantages in camouflage and multiple degrees of freedom, with which dangerous works can be completed in a total and/or partial replace of people’s roles, such as investigation, search and rescue, patrol, pipeline inspection, and space exploration. To strengthen advantages and usages of snake-like robots, many scholars have conducted active studies on the snake-like robots [6–10]. Leading Research Groups include the group led by Professor Hirsoe in Tokyo Institute of Technology (ACM R8), the robot team in Carnegie Mellon University (Uncle Sam), and the robot team in Michigan University (OmniTread). ACM R7 may bend its body figure into a circle and rolls forward in a grass land like a wheel ; Uncle Sam is categorized into a reconfigurable genre of robots, which is extremely suitable in applications in ducts, slits, etc. ; OmniTread is skilled at climbing upward and able to crawl across pipeline with a diameter of 11 cm to 24cm.
Several disadvantages still exist in many cases and prototypes including shortcomings of mechanical structures, unreliable control strategy, and algorithms [13, 14]. Therefore, a snake-like robot which adapts to changes in complex environment is proposed to overcome current problems in the snake-like robot design. In this paper, the prototype of the snake-like robot is designed in a routine of mechanical design, motion control, signal acquisition, data transmission, simulation research, and prototype test, which owes small volume, light weight, and multiple degrees of freedom. The emulation experiment and prototype test adequately proved that the stability of the snake-like robot is expected.
2. Overall Scheme Design
The snake-like robot studied in this paper mainly includes the mechanical structure, the control system, and the power supply system (Figure 1). The mechanical structure consists of three modules: head, body, and tail. The control system is composed of 3 main parts: a master control system, slave control systems, and a monitoring system. The master system is integrated in the snake head, which mainly undertakes the role of automatic detection of the external environment, and controls the slave control system by sending commands. The slave control systems are distributed in body and tail, completing the specific gait regulation and control. The monitoring system is hosted in a phone APP, which realizes the monitor and display function of sampled information. The power supply system consists of a rechargeable lithium battery module and a voltage-stabilized module that meets energy requirements for the entire snake-like robot. Each joint incorporates such a power module in the snake-like robot.
3. Mechanical Structure Design
Traditional orthogonal structure requires orthogonal placement of joints, and each joint only has one motor . This paper uses the method that requires two motors in orthogonal placement for each joint. This improvement will lead to a more compact structure and high spatial degrees of freedom (Figure 2). Solidworks is employed to optimize the design of head, body, and tail joint structure of the snake-like robot.
3.1. Snake Body Joints Design
Joint modules are modelled to satisfy spatial requirements for lithium battery modules, the slave control circuit boards, and the motors. The draw of the snake body joint is viewed by a planar figure as shown in Figure 3, where (A) is the link between the joints, to ensure that the joints are to complete the angle of ±135 degrees of rotation; (B1) and (B2) are horizontal and vertical motors; the two motors are integrated into a joint to narrow the snake space to ensure the flexibility of the joints; (C) and (E) are the lithium battery and the fixed position for slave control circuit board, respectively; (D) and (F) are the fixing holes for the longitudinal and transverse motors; (G) is the support for the metal sheet of the snake body joint.
3.2. Snake Head Joint Design
The snake head joint is the core component of the entire snake-like robot. The draw of the snake head joint is viewed by a planar figure as shown in Figure 4. A motor (K) is placed in the longitudinal position of head joint under the premise of horizontal movement in snake head joint. The front of the snake head joint is streamlined to reduce the resistance of the forward movement and to position the camera (H). At the same time, the snake head joint is equipped with a lighting device (I) to work in a dark environment. The battery (J) is installed for the snake head portion.
3.3. Snake Tail Joint Design
The draw of the snake tail joint is viewed by a planar figure as Figure 5. Taking their corresponding structures into account including the laser distance measuring sensor (L), infrared heat source sensor (M), and the master control board (O), the temperature-humidity sensor and air pressure sensor are embedded on the master control circuit board; additionally a small portion of space is reserved for a CO (N) sensor. For the position case of the tail motor, its structure is right inversed to that of the head motor.
4. Control System Design
The master control system is made up of a camera module, a laser ranging module, a temperature-humidity sensor, an air pressure sensor, a thermal imaging sensor, and a CO sensor. Among them, the camera module and the thermal imaging sensor collect environment information and human perception information and display them by images. The slave control systems coordinate with the master control system to control and adjust the snake-like robot’s movement gaits with the ZigBee wireless transmission mode. The slave control systems generate PWM signals to drive corresponding motors. The monitoring system is equipped with WiFi and Bluetooth modules as communication channels with the master system, which holds control and monitor tasks in the snake-like robot (Figure 6).
4.1. Master Control System Design
The master control system consists of four main modules: a core processor, a wireless communication module, a camera module, and multisensors (Figure 7). The master control system receives the control commands from the monitoring system and obtains data from multiple sensors through the Bluetooth module. The monitoring system determines the motion gait of the snake-like robot according to control demands and displays the sensor parameters on the APP. The master control system uses the WiFi module to communicate with the monitoring system and obtain the image information of a RGB camera in real time. The system is equipped with LED lights for the camera so as to obtain the high-definition image in the dark environment. The CC2530 coordinator communicates with the Zigbee, via the CC2541 Bluetooth module to transfer multisensor data.
4.2. Slave Control System Design
The slave control system selects STM8s003f3p6 as the core processor. The snake-like robot uses 6V-powered high-torque motors supplied by the battery with 6V, 250mAh lithium battery, to ensure that the snake-like robot running lasts more than one hour. The master control system sends wireless instructions to the CC2530 terminal node in the slave system through the CC2530 coordinator. Meanwhile, the master control system sends demands to the core processor in the serial interface mode. These demands drive motors to complete the corresponding gait operation. In order to facilitate the movement of snake-like robots and meet the power supply needs, we select the 7.4V lithium battery-powered solution, through RT9193 to convert from 7.4V to 3.3V for the control circuit board; at the same time, a diode will enable 7.4V to lower down 6V, to ensure reliable operation of motors (Figure 8).
4.3. Monitoring System Design
The monitoring system is developed by Java based on the Android system. The control interface of the host computer is divided into two interfaces: the camera real-time acquisition in the first interface; thermal imaging, gait control, and sensor detection in the second interface. The gait control consists of five gaits: serpentine locomotion, creeping, lateral displacement, tumbling, and climbing (Figure 9).
5. Motion Control Design
There are three controls modes for snake-like robot: gaits control (GC) based mode , Serpenoid control function (SCF) based mode [16–19], and central pattern generator (CPG) based mode [20–23]. SCF and CPG are key focuses in this paper.
5.1. Serpenoid Control Function
where is the angle between joint and (), is the amplitude of the joint angle when , is the joint radial frequency, is the initial phase of the function, is the deflection angle of the entire system, and is the phase.
As demonstrated in Figure 10, the transformation does not alter both minimum and maximum values over a long time, except state differences in initial stage. This transformation does not affect the movement of the robot.
5.2. CPG Control Mode
A chain network is included by 2n oscillator (Figure 11); the output of the distributed oscillator can provide movement control signals for the snake-like robot.
A single simplified CPG model is utilized to generate an approximate sine (cosine) signal for each joint control. The dynamics of oscillator is described by
where x and y are the output of oscillator that will be used as the desired oscillatory signal of each joint, where , , , and are constants. CPG can converge if parameters are properly chosen in model (Figure 12).
From Figure 13, it can be seen that the model exhibits dual stable sine or cosine dynamics over time about x and y. In the figure, the red line represents the control function of the lateral movement of the robot. The blue line represents the control function of the vertical movement.
6. Performance Testing and Analysis
6.1. Simulation Test Analysis
ADAMS is used as the emulation platform, and the serpentine gait mode of the snake-like robot is emulated and analyzed. We discuss parameter B (amplitude of the joint angle) and how it affects the stability of peristaltic motion and the speed of motion based on (3), and other parameters and gaits simulation methods are ignored.
In the emulation process, let , , , and , and parameter B equates to , , , and , respectively. As shown in Figure 14, the corresponding motion gaits are directly emulated by different B values; (1) as a case ( or ), serpentine motion of our robot is a better approximation to natural snakes’ movement; (2) when coming to the case , the serpentine motion uniformity in all joints is no longer kept; (3) for the case (), the robot motion can be shaped in U.
It can be observed that motion displacement in X axe is chaotic over the change of B and it reaches a maximum if and only if ; on the contrary, Z motion displacement increases over the decrease of B (Figure 15).
For further strengthening the points above, our prototype machine is used to conduct the field experiments and the result indicates that our simulations can be well benchmarked with the prototype robot’s fields tests and further proves that a case and the serpentine motion is performed best with our emulation results (Figure 16).
6.2. System Test Analysis
The terminal App is able to monitor the snake-like robot motion by the automatic and manual operation and, meanwhile through WiFi and Bluetooth, it acquires image information and multisensors’ data (Figures 17 and 18). The experimental results show that the performance of our proposed prototype machine can meet the communication requirements in a complex environment.
This paper presents a design method of a snake-like robot that adapts to complex environment. By properly designing the control system, mechanical structure, and motion control, we are able to emulate and test the snake-like robot. Our snake-like robot can achieve multistep motion control and it can gather multisensors’ information in complex environment. It also has capacity in expansion, real-time performance, and stability. The proposed design of snake-like robot is a pavement to research and development of future counterparts that will be applied in seismic search and rescue, pipeline inspection, space exploration, and many other fields. It can provide reference values for other bionic robots research.
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
The paper is supported by the Science and Technology Support Program of Sichuan Province (No. 2015JTD0020) and the Science and Technology Support Program of Chengdu City (No. 2015-HM01-00360-SF).
- X. Dong, M. Raffles, S. C. Guzman, D. Axinte, and J. Kell, “Design and analysis of a family of snake arm robots connected by compliant joints,” Mechanism and Machine Theory, vol. 77, pp. 73–91, 2014.
- K. Yang, T. Ge, and X. Wang, “Stability analysis of swimming configuration of a underwater self-reconfigurable robot,” Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, vol. 37, no. 7, pp. 891–895, 2016.
- G. Niu, L. Wang, and G. Zong, “Attitude control based on fuzzy logic for continuum aircraft fuel tank inspection robot,” Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, vol. 29, no. 6, pp. 2495–2503, 2015.
- M. S. Moses, R. J. Murphy, M. D. M. Kutzer, and M. Armand, “Modeling Cable and Guide Channel Interaction in a High-Strength Cable-Driven Continuum Manipulator,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 6, pp. 2876–2889, 2015.
- N. M. Nor and S. Ma, “Smooth transition for CPG-based body shape control of a snake-like robot,” Bioinspiration & Biomimetics, vol. 9, no. 1, 2014.
- K. Ito and H. Maruyama, “Semi-autonomous serially connected multi-crawler robot for search and rescue,” Advanced Robotics, vol. 30, no. 7, pp. 489–503, 2016.
- X. Zang, Y. Liu, Z. Lin, C. Zhang, and S. Iqbal, “Two multi-linked rescue robots: Design, construction and field tests,” Journal of Advanced Mechanical Design, Systems, and Manufacturing, vol. 10, no. 6, 2016.
- B. Ibrahimov, “Development of a Decision Making Guide for Locomotion Design for In-pipe Inspection Robots - One Step towards Open Innovation in Robotics,” IFAC-PapersOnLine, vol. 49, no. 29, pp. 77–82, 2016.
- L. Douadi, D. Spinello, W. Gueaieb, and H. Sarfraz, “Planar kinematics analysis of a snake-like robot,” Robotica, vol. 32, no. 5, pp. 659–675, 2014.
- L. Pfotzer, S. Klemm, A. Roennau, J. M. Zöllner, and R. Dillmann, “Autonomous navigation for reconfigurable snake-like robots in challenging, unknown environments,” Robotics and Autonomous Systems, vol. 89, pp. 123–135, 2017.
- H. Komura, H. Yamada, and S. Hirose, “Development of snake-like robot ACM-R8 with large and mono-tread wheel,” Advanced Robotics, vol. 29, no. 17, pp. 1081–1094, 2015.
- E. Ayvali, R. A. Srivatsan, L. Wang, R. Roy, N. Simaan, and H. Choset, “Using Bayesian optimization to guide probing of a flexible environment for simultaneous registration and stiffness mapping,” in Proceedings of the 2016 IEEE International Conference on Robotics and Automation, ICRA 2016, pp. 931–936, Sweden, May 2016.
- K. Watanabe, M. Iwase, S. Hatakeyama, and T. Maruyama, “Control strategy for a snake-like robot based on constraint force and verification by experiment,” Advanced Robotics, vol. 23, no. 7-8, pp. 907–937, 2009.
- T. Song, Y. lu, and Z. li, “Structural design and research of the bionic snake-like robot,” Advanced Materials Research, vol. 538-541, pp. 3034–3037, 2012.
- C. Behn, L. Heinz, and M. Krüger, “Kinematic and dynamic description of non-standard snake-like locomotion systems,” Mechatronics, vol. 37, pp. 1–11, 2016.
- Z. Lu and B. Li, “Dynamics simulation analysis on serpentine swimming performance of a snake-like robot,” Jiqiren/Robot, vol. 37, no. 6, pp. 748–753, 2015.
- X. Wang, H. Jin, Y. Zhu et al., “Serpenoid polygonal rolling for chain-type modular robots: A study of modeling, pattern switching and application,” Robotics and Computer-Integrated Manufacturing, vol. 39, pp. 56–67, 2016.
- T. Ohashi, H. Yamada, and S. Hirose, “Loop forming snake-like robot ACM-R7 and its serpenoid oval control,” in Proceedings of the 23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010, pp. 413–418, Taiwan, October 2010.
- Y. Umetani and S. Hirose, “Biomechanical Study of Serpentine Locomotion,” in On Theory and Practice of Robots and Manipulators, vol. 201 of CISM International Centre for Mechanical Sciences, pp. 171–184, Springer Vienna, Vienna, 1974.
- G. Yang, S. Ma, B. Li, and M. Wang, “An HCCPG model-based 3D gait control of a snake-like robot,” Jiqiren/Robot, vol. 36, no. 6, pp. 697–703, 2014.
- X. Wu and S. Ma, “CPG-based control of serpentine locomotion of a snake-like robot,” Mechatronics, vol. 20, no. 2, pp. 326–334, 2010.
- Z. Wang, Q. Gao, and H. Zhao, “CPG-Inspired Locomotion Control for a Snake Robot Basing on Nonlinear Oscillators,” Journal of Intelligent & Robotic Systems, vol. 85, no. 2, pp. 209–227, 2017.
- N. M. Nor and S. Ma, “A simplified CPGs network with phase oscillator model for locomotion control of a snake-like robot,” Journal of Intelligent & Robotic Systems, vol. 75, no. 1, pp. 71–86, 2014.
Copyright © 2019 Bingqi Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.