Geometrically constrained trajectory optimization for multicopters
In this article, we present an optimization-based framework for multicopter trajectory
planning subject to geometrical configuration constraints and user-defined dynamic …
planning subject to geometrical configuration constraints and user-defined dynamic …
The MIT humanoid robot: Design, motion planning, and control for acrobatic behaviors
Demonstrating acrobatic behavior of a humanoid robot such as flips and spinning jumps
requires systematic approaches across hardware design, motion planning, and control. In …
requires systematic approaches across hardware design, motion planning, and control. In …
A two-stage reinforcement learning approach for multi-UAV collision avoidance under imperfect sensing
Unlike autonomous ground vehicles (AGVs), unmanned aerial vehicles (UAVs) have a
higher dimensional configuration space, which makes the motion planning of multi-UAVs a …
higher dimensional configuration space, which makes the motion planning of multi-UAVs a …
Unmanned aerial vehicle navigation in underground structure inspection: A review
Many years after construction, a number of existing old tunnels and underground structures
are deteriorating with time as evidenced by cracks, large deformations, water leakage and …
are deteriorating with time as evidenced by cracks, large deformations, water leakage and …
Robust autonomous navigation of unmanned aerial vehicles (UAVs) for warehouses' inventory application
W Kwon, JH Park, M Lee, J Her… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
The inventory inspection using autonomous unmanned aerial vehicles (UAVs) is beneficial
in terms of cost, time, and safety of human workers. However, in typical warehouses, it is …
in terms of cost, time, and safety of human workers. However, in typical warehouses, it is …
RSPT: reconstruct surroundings and predict trajectory for generalizable active object tracking
Abstract Active Object Tracking (AOT) aims to maintain a specific relation between the
tracker and object (s) by autonomously controlling the motion system of a tracker given …
tracker and object (s) by autonomously controlling the motion system of a tracker given …
Putn: A plane-fitting based uneven terrain navigation framework
Autonomous navigation of ground robots has been widely used in indoor structured 2D
environments, but there are still many challenges in outdoor 3D unstructured environments …
environments, but there are still many challenges in outdoor 3D unstructured environments …
A survey of visual navigation: From geometry to embodied AI
T Zhang, X Hu, J Xiao, G Zhang - Engineering Applications of Artificial …, 2022 - Elsevier
The capacity to extract information and comprehend an unseen environment is critical for
mobile robots to navigate. Few surveys has mentioned the combinatorial-non-optimality …
mobile robots to navigate. Few surveys has mentioned the combinatorial-non-optimality …
Particle filtering for three-dimensional TDoA-based positioning using four anchor nodes
M Khalaf-Allah - Sensors, 2020 - mdpi.com
In this article, the four-anchor time difference of arrival (TDoA)-based three-dimensional (3D)
positioning by particle filtering is addressed. The implemented particle filter uses 1000 …
positioning by particle filtering is addressed. The implemented particle filter uses 1000 …
An Efficient Framework for Autonomous UAV Missions in Partially-Unknown GNSS-Denied Environments
Nowadays, multirotors are versatile systems that can be employed in several scenarios,
where their increasing autonomy allows them to achieve complex missions without human …
where their increasing autonomy allows them to achieve complex missions without human …