Parkour is a grand challenge for legged locomotion that requires robots to overcome various
obstacles rapidly in complex environments. Existing methods can generate either diverse …

Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

We study the problem of mobile manipulation using legged robots equipped with an arm,
namely legged loco-manipulation. The robot legs, while usually utilized for mobility, offer an …

Visual Inertial Odometry (VIO) is one of the most established state estimation methods for
mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to …

Inertial odometry is an attractive solution to the problem of state estimation for agile
quadrotor flight. It is inexpensive, lightweight, and it is not affected by perceptual …

Parkour poses a significant challenge for legged robots, requiring navigation through
complex environments with agility and precision based on limited sensory inputs. In this …

Compact wearable mapping system (WMS) has gained significant attention due to their
convenience in various applications. Specifically, it provides an efficient way to collect prior …

The projective synchronization work presented in this article is focused on a class of
nonlinear discontinuous coupled inertial neural networks with mixed time-varying delays …

This article proposes an invariant smoother for legged robot state estimation with the
measurement of an inertial measurement unit and leg kinematics while assuming static foot …