Review of autonomous path planning algorithms for mobile robots

H Qin, S Shao, T Wang, X Yu, Y Jiang, Z Cao - Drones, 2023 - mdpi.com
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

A survey of computer vision methods for 2d object detection from unmanned aerial vehicles

D Cazzato, C Cimarelli, JL Sanchez-Lopez, H Voos… - Journal of …, 2020 - mdpi.com
The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Survey of human–robot collaboration in industrial settings: Awareness, intelligence, and compliance

S Kumar, C Savur, F Sahin - IEEE Transactions on Systems …, 2020 - ieeexplore.ieee.org
Industrial robots working in isolation in a highly automated system are valued for their high
productivity. The shortcomings of these pure robotic cells become more apparent when …

[HTML][HTML] Dynamic obstacle avoidance for Multi-rotor UAV using chance-constraints based on obstacle velocity

T Wakabayashi, Y Suzuki, S Suzuki - Robotics and Autonomous Systems, 2023 - Elsevier
To ensure the safety of autonomous Multi-rotor UAVs flying in urban airspace, they should
be capable of avoiding collisions with unpredictable dynamic obstacles, such as birds. UAVs …

Safe active dynamics learning and control: A sequential exploration–exploitation framework

T Lew, A Sharma, J Harrison, A Bylard… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Safe deployment of autonomous robots in diverse scenarios requires agents that are
capable of efficiently adapting to new environments while satisfying constraints. In this …

Safe navigation of a quadrotor UAV with uncertain dynamics and guaranteed collision avoidance using barrier Lyapunov function

H Habibi, A Safaei, H Voos, M Darouach… - Aerospace Science and …, 2023 - Elsevier
In this paper, the safe autonomous motion control of a quadrotor Unmanned Aerial Vehicle
(UAV) is considered, in the presence of disturbance, stationary and moving obstacles. In this …

From slam to situational awareness: Challenges and survey

H Bavle, JL Sanchez-Lopez, C Cimarelli, A Tourani… - Sensors, 2023 - mdpi.com
The capability of a mobile robot to efficiently and safely perform complex missions is limited
by its knowledge of the environment, namely the situation. Advanced reasoning, decision …

Moment-based model predictive control of autonomous systems

HQ Bao, Q Kang, XD Shi, MC Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Great efforts have been devoted to the intelligent control of autonomous systems. Yet, most
of existing methods fail to effectively handle the uncertainty of their environment and models …

Risk-averse trajectory optimization via sample average approximation

T Lew, R Bonalli, M Pavone - IEEE Robotics and Automation …, 2023 - ieeexplore.ieee.org
Trajectory optimization under uncertainty underpins a wide range of applications in robotics.
However, existing methods are limited in terms of reasoning about sources of epistemic and …

A review on visual-slam: Advancements from geometric modelling to learning-based semantic scene understanding using multi-modal sensor fusion

T Lai - Sensors, 2022 - mdpi.com
Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in
autonomous mobile robots where a robot needs to reconstruct a previously unseen …