How can low-level autonomous robots with only very simple sensor systems be endowed
with cognitive capabilities? Specifically, we consider a system that uses seven infrared …

Spiking neural networks (SNNs) offer many advantages over traditional artificial neural
networks (ANNs) such as biological plausibility, fast information processing, and energy …

Neuromorphic electronic systems exhibit advantageous characteristics, in terms of low
energy consumption and low response latency, which can be useful in robotic applications …

Motion planning for autonomous vehicles remains a challenge in urban road environments
with occlusions. In this study, we present a motion planning framework that prioritizes safety …

The aim of this thesis is to investigate how behavior-based robots can be modeled by non-
linear dynamical systems. Taking the example of navigation as a case study, dynamic …

A framework of integrating local trajectory replanning with trajectory tracking is constructed
to address the problem of emergency obstacle avoidance for self-driving cars during driving …

Intelligent wheelchairs operating in dynamic environments need to sense its neighborhood
and adapt the control signal, in real-time, to avoid collisions and protect the user. In this …

The combination of a mobile platform and a manipulator, known as a mobile manipulator,
provides a highly flexible system, which can be used in a wide range of applications …

In this paper, a novel method for obtaining high-quality paths for self-driving cars in
underground parking lots is proposed. Self-driving cars require fast and accurate planning of …

Increasingly widespread available haptic sensors mounted on articulated hands offer new
sensory channels that can complement shape extraction from vision to enable a more robust …