Trajectory Generation for the Leg of the Six-Legged Underwater Robot Over Obstacle in the Structured Terrain

Author(s):  
Feng Wang ◽  
Linyi Gu ◽  
Bo Zhou ◽  
Ying Chen

As safe and effective underwater vehicle, underwater robot is considered to be an ideal tool for the investigation and exploitation in the large offshore area. There has been a growing interest to develop six-legged underwater walking robot for the researchers since the six-legged locomotion is more flexible and adaptable on the seafloor than other types of locomotion. The trajectory for the leg of the six-legged walking robot has a great influence on the locomotion quality and efficiency when the robot is a heavy one. The power consumed in the locomotion with different leg trajectories differs from each other greatly. Therefore, it is of great significance to study the trajectory of the leg. Of all the locomotion of the walking robot, crossing over obstacle is a typical one. Thus this paper mainly studies the trajectory generation for the leg of the six-legged walking robot over obstacle in the structured terrain. The robot has eighteen DOF and all the joints are hydraulically driven. In the current study, technical analysis is performed with the emphasis on the power consumption while crossing over obstacle. The analysis is conducted at various trajectories so as to compare the power consumed in different trajectories. Meanwhile, the study has also taken the smooth movement of the joint into consideration. The trajectory of the leg is theoretically analyzed and simulated. The kinematic simulation and the power consumed with different trajectories are both conducted in MATLAB. Simulation results have demonstrated the influence of trajectory on the power consumption of the robot while crossing over obstacle. The study has provided a theoretical way for the trajectory generation over obstacle for the six-legged walking robot.

2012 ◽  
Vol 463-464 ◽  
pp. 997-1001 ◽  
Author(s):  
Florina Moldovan ◽  
Valer Dolga ◽  
Carmen Sticlaru

In this article it is presented a general overview of the existing types of walking robots developed in the field of robotics research and the main advantages offered by legged locomotion in achieving a specific agility in crossing over uneven terrains. The aim of this article is to present the results of kinematical analysis developed upon a ten bar linkage designed in CAD in order to study the possibility of using this new type of mechanism for building a walking robot. It also illustrates the advantages of using CAD simulation tools for analyzing the path described by the end point of the foot during walking.


2015 ◽  
Vol 220-221 ◽  
pp. 148-152
Author(s):  
Tomas Luneckas ◽  
Mindaugas Luneckas ◽  
Dainius Udris

Hexapod walking robot is a complex electromechanical system with many degrees of freedom. Six legs ensure robot’s stability as at least three legs are always on the ground but require more effort in order to synchronize them for a successful locomotion. In this paper, we present a method that allows calculate feet trajectories in real-time and online. This method enables to select different gaits and their parameters.


2000 ◽  
Vol 2000.1 (0) ◽  
pp. 139-140
Author(s):  
Junichi WAKABAYASHI ◽  
Masayuki NAKAMURA ◽  
Sachiko ODAKE ◽  
Mitsuyuki KOBAYASHI

2000 ◽  
Vol 2000.4 (0) ◽  
pp. 19-24
Author(s):  
Masayuki NAKAMURA ◽  
Junichi WAKABAYASHI ◽  
Mitsuyuki KOBAYASHI

2013 ◽  
Vol 2013 (0) ◽  
pp. _1A1-P03_1-_1A1-P03_3
Author(s):  
Evgeny LAZARENKO ◽  
Satoshi KITANO ◽  
Shigeo HIROSE ◽  
Gen ENDO

Author(s):  
Shiyu Zhang ◽  
Shuling Dai

To obtain real-time interactions in the virtual cockpit system (VCS), a real-time trajectory generation method based on dynamical nonlinear optimization and regression prediction for the haptic feedback manipulator (HFM) is presented in this paper. First, a haptic feedback system based on servoserial manipulator is constructed. Then, the trajectory planning problem for the HFM is formulated as a nonlinear optimization problem to balance the motion time and power consumption and ensure the safety of physical human–robot interactions (pHRI). Multiple optimization problems are solved to generate the optimal database off-line. Finally, the classified multivariate (CM) regression method is presented to learn the database and generate optimal trajectories with arbitrary initial and objective positions on-line. Results show that trajectories with rapidity, safety, and lower power consumption can be generated in real-time by this method, which lay a basis of haptic interactions in the VCS.


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