Step climbing omnidirectional mobile robot with passive linkages

Author(s):  
Daisuke Chugo ◽  
Kuniaki Kawabata ◽  
Hayato Kaetsu ◽  
Hajime Asama ◽  
Taketoshi Mishima
2001 ◽  
Vol 13 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Atsushi Yamashita ◽  
◽  
Tatsuya Kanazawa ◽  
Hajime Asama ◽  
Hayato Kaetsu ◽  
...  

In this paper, we purpose a new holonomic omnidirectional mobile robot that can pass over steps and rough terrain. A prototype of the omnidirectional mobile robot has seven wheels with free rollers. We adopt a passive suspension for the robot to climb slopes and to pass over steps without actuators and sensors for climbing and analyzed the kinematics of the omnidirectional robot. The performance of the prototype robot is shown through experiments.


2005 ◽  
Vol 17 (2) ◽  
pp. 198-207 ◽  
Author(s):  
Kenjiro Tadakuma ◽  
◽  
Riichiro Tadakuma ◽  
Shigeo Hirose ◽  

“VmaxCarrier2” is an omnidirectional mobile robot with step-climbing capability, usable as a compact, quiet, durable transport vehicle in cluttered, cramped environments. We have developed several kinds of omnidirectional mobile robots for situations where movement must be possible in any direction, such as “VUTON [1]” and “VmaxCarrier [2, 3].” To construct an omnidirectional mobile robot with a greatly improved capability to climb steps, we developed the Omni-Disc2, a Bent Pneumatic Actuator, and a pneumatic system. These novel components were constructed into a prototype, and through evaluation experiments we have confirmed improved step climbing capability of VmaxCarrier2.


ROBOT ◽  
2012 ◽  
Vol 34 (2) ◽  
pp. 144 ◽  
Author(s):  
Changlong YE ◽  
Huaiyong LI ◽  
Shugen MA ◽  
Huichao NI

Robotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 48
Author(s):  
Mahmood Reza Azizi ◽  
Alireza Rastegarpanah ◽  
Rustam Stolkin

Motion control in dynamic environments is one of the most important problems in using mobile robots in collaboration with humans and other robots. In this paper, the motion control of a four-Mecanum-wheeled omnidirectional mobile robot (OMR) in dynamic environments is studied. The robot’s differential equations of motion are extracted using Kane’s method and converted to discrete state space form. A nonlinear model predictive control (NMPC) strategy is designed based on the derived mathematical model to stabilize the robot in desired positions and orientations. As a main contribution of this work, the velocity obstacles (VO) approach is reformulated to be introduced in the NMPC system to avoid the robot from collision with moving and fixed obstacles online. Considering the robot’s physical restrictions, the parameters and functions used in the designed control system and collision avoidance strategy are determined through stability and performance analysis and some criteria are established for calculating the best values of these parameters. The effectiveness of the proposed controller and collision avoidance strategy is evaluated through a series of computer simulations. The simulation results show that the proposed strategy is efficient in stabilizing the robot in the desired configuration and in avoiding collision with obstacles, even in narrow spaces and with complicated arrangements of obstacles.


1999 ◽  
Vol 17 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Jun Tang ◽  
Keigo Watanabe ◽  
Katsutoshi Kuribayashi ◽  
Yamato Shiraishi

2014 ◽  
Vol 607 ◽  
pp. 791-794 ◽  
Author(s):  
Wei Kang Tey ◽  
Che Fai Yeong ◽  
Yip Loon Seow ◽  
Eileen Lee Ming Su ◽  
Swee Ho Tang

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many of the researchers use high cost solution in the feedback of the robot. For example, there are researchers use global camera as feedback. This solution has increases the cost of the robot setup fee to a relatively high amount. The setup system is also hard to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the result is discussed.


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