Learning from Nature: Biologically Inspired Robot Navigation and SLAM—A Review

2010 ◽  
Vol 24 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Niko Sünderhauf ◽  
Peter Protzel
Keyword(s):  
Robot Navigation ◽  
Biologically Inspired ◽  
Biologically Inspired Robot

A biologically inspired method for robot navigation in a cluttered environment

Robotica ◽  
2009 ◽  
Vol 28 (5) ◽  
pp. 637-648 ◽  
Author(s):  
Hamid Teimoori ◽  
Andrey V. Savkin
Keyword(s):  
Collision Avoidance ◽  
Computer Simulations ◽  
Robot Navigation ◽  
Biologically Inspired ◽  
Active Sensors ◽  
Cluttered Environment ◽  
Navigation Algorithm ◽  
Navigation Strategy ◽  
Wheeled Robot ◽  
Moving Direction

SUMMARYThe problem of wheeled mobile robot (WMR) navigation toward an unknown target in a cluttered environment has been considered. The biologically inspired navigation algorithm is the equiangular navigation guidance (ENG) law combined with a local obstacle avoidance technique. The collision avoidance technique uses a system of active sensors which provides the necessary information about obstacles in the vicinity of the robot. In order for the robot to avoid collision and bypass the enroute obstacles, the angle between the instantaneous moving direction of the robot and a reference point on the surface of the obstacle is kept constant. The performance of the navigation strategy is confirmed with computer simulations and experiments with ActivMedia Pioneer 3-DX wheeled robot.

Dynamics and Simulation of General Human and Humanoid Motion in Sports

2011 ◽  
pp. 36-62 ◽  
Author(s):  
Veljko Potkonjak ◽  
Miomir Vukobratovic ◽  
Kalman Babkovic ◽  
Branislav Borovac
Keyword(s):  
Mathematical Models ◽  
Motion Planning ◽  
Mathematical Analysis ◽  
Humanoid Robot ◽  
Dynamic Control ◽  
Humanoid Robots ◽  
Assistive Devices ◽  
Kinematics And Dynamics ◽  
Biologically Inspired ◽  
Biologically Inspired Robot

This chapter relates biomechanics to robotics. The mathematical models are derived to cover the kinematics and dynamics of virtually any motion of a human or a humanoid robot. Benefits for humanoid robots are seen in fully dynamic control and a general simulator for the purpose of system designing and motion planning. Biomechanics in sports and medicine can use these as a tool for mathematical analysis of motion and disorders. Better results in sports and improved diagnostics are foreseen. This work is a step towards the biologically-inspired robot control needed for a diversity of tasks expected in humanoids, and robotic assistive devices helping people to overcome disabilities or augment their physical potentials. This text deals mainly with examples coming from sports in order to justify this aspect of research.

scholarly journals Biologically Inspired Vision for Indoor Robot Navigation

2014 ◽  
pp. 469-477 ◽  
Author(s):  
M. Saleiro ◽  
K. Terzić ◽  
D. Lobato ◽  
J. M. F. Rodrigues ◽  
J. M. H. du Buf
Keyword(s):  
Robot Navigation ◽  
Biologically Inspired

scholarly journals Mechanical Description of a Hyper-Redundant Robot Joint Mechanism Used for a Design of a Biomimetic Robotic Fish

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
M. O. Afolayan ◽  
D. S. Yawas ◽  
C. O. Folayan ◽  
S. Y. Aku
Keyword(s):  
Robotic Fish ◽  
Biologically Inspired ◽  
Redundant Robot ◽  
Critical Part ◽  
Joint Mechanism ◽  
Biomimetic Robotic Fish ◽  
Computerized Simulation ◽  
Turning Radius ◽  
Minimum Turning Radius ◽  
Biologically Inspired Robot

A biologically inspired robot in the form of fish (mackerel) model using rubber (as the biomimetic material) for its hyper-redundant joint is presented in this paper. Computerized simulation of the most critical part of the model (the peduncle) shows that the rubber joints will be able to take up the stress that will be created. Furthermore, the frequency-induced softening of the rubber used was found to be critical if the joints are going to oscillate at frequency above 25 Hz. The robotic fish was able to attain a speed of 0.985 m/s while the tail beats at a maximum of 1.7 Hz when tested inside water. Furthermore, a minimum turning radius of 0.8 m (approximately 2 times the fish body length) was achieved.

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