There are many on-orbit capture tasks for space robots. At present, most space robots
capture methods are based on the trajectory planning of robot kinematics. This kind of …

This paper aims to identify in a practical manner unknown physical parameters, such as
mechanical models of actuated robot links, which are critical in dynamical robotic tasks. Key …

The use of tensegrity structures in soft robotics has seen an increased interest in recent
years thanks to their mechanical properties, but the control of these systems remains an …

Presented in this work are the concepts to build, sense and control a completely untethered
tensegrity robotic system called SUPERball (Spherical Underactuated Planetary Exploration …

Controlled gliding is one of the most energetically efficient modes of transportation for
natural and human powered fliers. Here we demonstrate that gliding and landing strategies …

Networked systems rely on many control and decision-making algorithms. Classical
approaches to designing and optimizing these algorithms, developed over the last four …

This paper describes a vision-based target tracking method for a skid-steer vehicle. With the
development of deep reinforcement learning, many researchers have tried to generate an …

This thesis discusses the development and application of deep reinforcement learning (RL)
to augment the existing methodologies for fluid dynamics research. RL finds control …

Tensegrity robots are researched for robotic locomotion, as they have remarkable properties
which makes them well suited for physical interaction with unknown and unstructured …