Time-optimal handover trajectory planning for aerial manipulators based on discrete mechanics and complementarity constraints
Planning a time-optimal trajectory for aerial robots is critical in many drone applications,
such as rescue missions and package delivery, which have been widely researched in …
such as rescue missions and package delivery, which have been widely researched in …
Vision-based algorithm for autonomous aerial landing
The landing phase is a critical stage in autonomous aerial landing, especially when the
aerial vehicle lands in a moving platform, as ground vehicles. In this paper, a solution …
aerial vehicle lands in a moving platform, as ground vehicles. In this paper, a solution …
Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
Surface roughness is one of the most critical attributes of machined components, especially
those used in high-performance systems. Online surface roughness monitoring offers …
those used in high-performance systems. Online surface roughness monitoring offers …
Machine learning and numerical investigation on drag coefficient of arbitrary polygonal particles
H **ang, C Cheng, P Zhang… - International Journal of …, 2024 - Wiley Online Library
The drag coefficient, as the most important parameter that characterizes particle dynamics in
flows, has been the focus of a large number of investigations. Although good predictability is …
flows, has been the focus of a large number of investigations. Although good predictability is …
Surface quality predictive model for ultraprecision fly-cutting based on an integrated hybrid CNN-LSTM
The emergence of predictive quality has significantly changed manufacturing processes and
facilitated real-time product quality assessments. Ultraprecision fly-cutting (UPFC) demands …
facilitated real-time product quality assessments. Ultraprecision fly-cutting (UPFC) demands …
An investigation into uncertain mixed energy dispatching strategies for wind power incorporating improved error estimation bandwidth
F Yang, J Feng, X Hu - International Journal of Green Energy, 2024 - Taylor & Francis
The inherent unpredictability and volatility of renewable energy generation contribute to
insufficient prediction accuracy, resulting in substantial operational discrepancies …
insufficient prediction accuracy, resulting in substantial operational discrepancies …
Bézier-UKF Enhanced Incremental MPC Planner for Quadrotor Based Target Following
H Zhang, J Su, S Li - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
This paper presents a vision-based tracking control for a quadrotor to follow a moving target
without assuming any quadrotor-target communication. Constant turn rate & acceleration …
without assuming any quadrotor-target communication. Constant turn rate & acceleration …
Evolution of Wave Propagation in Two-Dimensional Hexagonal Packed Granules with Defects
X Wu, S Mao, H Wang - International Conference on Mechanical System …, 2023 - Springer
A two-dimensional hexagonal packed granules wave propagation model with defects is
established by using the discrete element method (DEM) and studied under the impact load …
established by using the discrete element method (DEM) and studied under the impact load …
LSTM Application To Mobile Robotics For Stuck Detection
WS Lysford - 2024 - search.proquest.com
This paper presents a solution for determining if a wheeled robot is stuck that is operating
without high fidelity localization sensors or operating in a sensor denied environment …
without high fidelity localization sensors or operating in a sensor denied environment …
Establishment of Coupling Simulation Model of Diesel Engine Combustion Process and Mechanical System Dynamics
J Fan, J Zhang, H Yu - International Conference on Mechanical System …, 2023 - Springer
The diesel engine works by converting the thermal energy of fuel combustion into
mechanical energy. Its actual working process is extremely complex, and the …
mechanical energy. Its actual working process is extremely complex, and the …