A comprehensive study for robot navigation techniques
An intelligent autonomous robot is required in various applications such as space,
transportation, industry, and defense. Mobile robots can also perform several tasks like …
transportation, industry, and defense. Mobile robots can also perform several tasks like …
[PDF][PDF] Mobile robot navigation and obstacle avoidance techniques: A review
Mobile robot is an autonomous agent capable of navigating intelligently anywhere using
sensor-actuator control techniques. The applications of the autonomous mobile robot in …
sensor-actuator control techniques. The applications of the autonomous mobile robot in …
A survey of robotics control based on learning-inspired spiking neural networks
Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …
living creatures able to perceive and act in the real world exceptionally well and outperform …
Biologically inspired jum** robots: A comprehensive review
Applying concepts and methods of bionics to endow autonomous robots with elegant and
agile mobility just like natural living beings is gradually becoming a hot research topic in …
agile mobility just like natural living beings is gradually becoming a hot research topic in …
Review on bioinspired planetary regolith-burrowing robots
Penetrating planetary regolith is extremely important to explore the secrets inside
extraterrestrial celestial bodies. Applying the concept and method of bionics to endow …
extraterrestrial celestial bodies. Applying the concept and method of bionics to endow …
Saturated Nussbaum function based approach for robotic systems with unknown actuator dynamics
This paper presents a saturated Nussbaum function based approach for robotic systems
with unknown actuator dynamics. To eliminate the effect of the control shock from the …
with unknown actuator dynamics. To eliminate the effect of the control shock from the …
Toward the optimal design and FPGA implementation of spiking neural networks
The performance of a biologically plausible spiking neural network (SNN) largely depends
on the model parameters and neural dynamics. This article proposes a parameter …
on the model parameters and neural dynamics. This article proposes a parameter …
End to end learning of spiking neural network based on r-stdp for a lane kee** vehicle
Learning-based methods have demonstrated clear advantages in controlling robot tasks,
such as the information fusion abilities, strong robustness, and high accuracy. Meanwhile …
such as the information fusion abilities, strong robustness, and high accuracy. Meanwhile …
Jum** locomotion strategies: From animals to bioinspired robots
Jum** is a locomotion strategy widely evolved in both invertebrates and vertebrates. In
addition to terrestrial animals, several aquatic animals are also able to jump in their specific …
addition to terrestrial animals, several aquatic animals are also able to jump in their specific …
Spike timing or rate? Neurons learn to make decisions for both through threshold-driven plasticity
Spikes play an essential role in information transmission in central nervous system, but how
neurons learn from them remains a challenging question. Most algorithms studied how to …
neurons learn from them remains a challenging question. Most algorithms studied how to …