This work aims to provide a computationally effective and distributed trajectory planner at the
intersection of physics-based and data-driven techniques for the collaborative locomotion of …

The robotic autonomous luggage trolley collection system employs robots to gather and
transport scattered luggage trolleys at airports. However, existing methods for detecting and …

Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …

Multi-robot path planning is a computational process involving finding paths for each robot
from its start to the goal while ensuring collision-free operation. It is widely used in robots …

The aim of this dissertation is to systematically construct a hierarchical framework that allows
for robust multi-agent collaborative legged locomotion. More specifically, this work provides …