<p>Novelty detection algorithms applied to periodic signals recorded from the whisking robot for a 100 s data record (left) and an illustrative section zoomed on the time axis (right). For an effective visual comparison the novelty signals are normalised by the peak value in the final 10 s, and the absolute value is displayed (in black) so that contacts (in red) are clearly marked. A: Raw sensory signal. B: Sensory input only. The initial period of ∼20 s during which the model is learned can be seen clearly as a decrease in background noise. C: Motor input only. D: Sensorimotor input.</p
Abstract—Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis ...
This paper investigates application of machine learning to the problem of contact perception between...
The cerebellum is thought to implement internal models for sensory prediction, but details of the un...
<p>Novelty detection algorithms applied to periodic signals generated by simulation of the robot mod...
Sensory signals are often caused by one's own active movements. This raises a problem of discriminat...
<p>Comparison of novelty detection schemes when (i) either whisking stochastically or periodically a...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
Novelty detection is a very useful tool to differentiate between known {normal} and unknown (novelty...
In robot building, attention tends to focus on internal signal processing and the way desired motor ...
Whiskered mammals such as rats are experts in tactile perception. By actively palpating surfaces wit...
The temporal structure of the force, or strain, signals from an internal force-torque sensor can be ...
<p>A. Photographs of the mobile whiskered robot SCRATCHbot exploring the environment using its bilat...
Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis that one ...
We present a method for enabling an Aldebaran Nao humanoid robot to perceive bumps and touches cause...
The cerebellum is thought to implement internal models for sensory prediction, but details of the un...
Abstract—Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis ...
This paper investigates application of machine learning to the problem of contact perception between...
The cerebellum is thought to implement internal models for sensory prediction, but details of the un...
<p>Novelty detection algorithms applied to periodic signals generated by simulation of the robot mod...
Sensory signals are often caused by one's own active movements. This raises a problem of discriminat...
<p>Comparison of novelty detection schemes when (i) either whisking stochastically or periodically a...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
Novelty detection is a very useful tool to differentiate between known {normal} and unknown (novelty...
In robot building, attention tends to focus on internal signal processing and the way desired motor ...
Whiskered mammals such as rats are experts in tactile perception. By actively palpating surfaces wit...
The temporal structure of the force, or strain, signals from an internal force-torque sensor can be ...
<p>A. Photographs of the mobile whiskered robot SCRATCHbot exploring the environment using its bilat...
Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis that one ...
We present a method for enabling an Aldebaran Nao humanoid robot to perceive bumps and touches cause...
The cerebellum is thought to implement internal models for sensory prediction, but details of the un...
Abstract—Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis ...
This paper investigates application of machine learning to the problem of contact perception between...
The cerebellum is thought to implement internal models for sensory prediction, but details of the un...