2A1-N05 3-Dimensional Motion Analysis of Cylindrical Mobile Robot(Mobile Robot with Special Mechanism(1))

2012 ◽  
Vol 2012 (0) ◽  
pp. _2A1-N05_1-_2A1-N05_2
Author(s):  
Tetsuro HIRANO ◽  
Masato ISHIKAWA ◽  
Koichi OSUKA
Keyword(s):  
Mobile Robot ◽  
Motion Analysis ◽  
3 Dimensional ◽  
Special Mechanism

Neural network and fuzzy logic techniques based collision avoidance for a mobile robot

Robotica ◽  
1997 ◽  
Vol 15 (6) ◽  
pp. 627-632 ◽  
Author(s):  
Minglu Zhang ◽  
Shangxian Peng ◽  
Qinghao Meng
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Controller ◽  
Perceptual Space ◽  
Space Partitioning ◽  
Reactive Navigation ◽  
3 Dimensional ◽  
Sensory Data ◽  
Cluttered Environment

This paper is concerned with a mobile robot reactive navigation in an unknown cluttered environment based on neural network and fuzzy logic. Reactive navigation is a mapping between sensory data and commands without planning. This article's task is to provide a steering command letting a mobile robot avoid a collision with obstacles. In this paper, the authors explain how to perform a currently perceptual space partitioning for a mobile robot by the use of an ART neural network, and then, how to build a 3-dimensional fuzzy controller for mobile robot reactive navigation. The results presented, whether experimented or simulation, show that our method is well adapted to this type of problem.

The kinematics of 1-on-1 rugby tackling: a study using 3-dimensional motion analysis

2019 ◽  
Vol 28 (1) ◽  
pp. 149-157
Author(s):  
Yasumasa Tanabe ◽  
Takayuki Kawasaki ◽  
Hiroshi Tanaka ◽  
Kenji Murakami ◽  
Katsuya Nobuhara ◽  
...  
Keyword(s):  
Motion Analysis ◽  
3 Dimensional

Image-Based Motion Analysis for Self-Reconfigurable Mobile Robot With Integrated Docking

2019 ◽  
Author(s):  
Shubhdildeep S. Sohal ◽  
Pinhas Ben-Tzvi
Keyword(s):  
Mobile Robot ◽  
Motion Analysis ◽  
Visual Servoing ◽  
Experimental Results ◽  
Sensory Data ◽  
Simulated Environment ◽  
Locomotion Behavior ◽  
Coupling Performance ◽  
Design Integration ◽  
Hybrid Locomotion

Abstract This paper presents the design integration and experimental results of target-based autonomous locomotion of a Self-Reconfigurable Mobile Robot. Uncertainties in the sensory data can accumulate the misalignments in locomotion behavior of the robot. Such misalignments can result in a poor coupling performance resulting in the failure of the overall docked system. Therefore, it is desirable for a robot to be capable of mechanically tolerating such misalignments. As a result, a Hybrid-Wheeled mobile robot, interfaced with a 2-DOF, high misalignment tolerant coupling (GHEFT) mechanism is presented in this paper. This combined assembly is used as a source of locomotion for autonomous docking in a multi-robot assembly using Image-Based Visual Servoing (IBVS). The resulting output is then implemented in a simulated environment for the autonomous locomotion of the robot. Experimental results demonstrate the feature motion and trajectory followed under the hybrid locomotion of the robot.

2A2-L14 Development of a Leg-Track Hybrid Mobile Robot to traverse on weak and steep slopes(Mobile Robot with Special Mechanism)

2011 ◽  
Vol 2011 (0) ◽  
pp. _2A2-L14_1-_2A2-L14_4
Author(s):  
Ken AKIYAMA ◽  
Hiroaki KINOSHITA ◽  
Keiji NAGATANI ◽  
Kazuya YOSHIDA ◽  
Kenjiro TADAKUMA ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Special Mechanism ◽  
Steep Slopes

Novel 3-Dimensional Motion Analysis Method for Measuring the Lumbar Spine Range of Motion

Spine ◽  
2013 ◽  
Vol 38 (21) ◽  
pp. E1327-E1333 ◽  
Author(s):  
Michio Tojima ◽  
Naoshi Ogata ◽  
Arito Yozu ◽  
Masahiko Sumitani ◽  
Nobuhiko Haga
Keyword(s):  
Lumbar Spine ◽  
Range Of Motion ◽  
Motion Analysis ◽  
Analysis Method ◽  
3 Dimensional
Sign in / Sign up

Export Citation Format

Share Document