Quadrotor neural network adaptive control: design and experimental validation

G Yu, J Reis, C Silvestre - IEEE Robotics and Automation …, 2023 - ieeexplore.ieee.org
This letter presents the design and experimental study of an adaptive nonlinear controller for
Unmanned Aerial Vehicles (UAVs) in the presence of unknown time-varying disturbances …

Multi-agent dynamic formation interception control based on rigid graph

C Wang, Y Sun, X Ma, Q Chen, Q Gao, X Liu - Complex & Intelligent …, 2024 - Springer
In this study, dynamic formation tracking and interception are performed by controlling multi-
agent using a Euler-like Lagrangian model. The purpose is to use the distance-based rigid …

Model learning with backlash compensation for a tendon-driven surgical robot

F Cursi, W Bai, EM Yeatman… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Robots for minimally invasive surgery are becoming more and more complex, due to
miniaturization and flexibility requirements. The vast majority of surgical robots are tendon …

An active learning based robot kinematic calibration framework using gaussian processes

E Daş, JW Burdick - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Future NASA lander missions to icy moons will require completely automated, accurate, and
data efficient calibration methods for the robot manipulator arms that sample icy terrains in …

Task accuracy enhancement for a surgical macro-micro manipulator with probabilistic neural networks and uncertainty minimization

F Cursi, W Bai, EM Yeatman… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate robot kinematic modelling is a major component for autonomous robot control to
guarantee safety and precision during task execution. In surgical robotics complex robotic …

A Two-Dimensional Corotational Beam Formulation Based on the Local Frame of Special Euclidean Group

P You, Z Liu, Z Ma - Journal of Computational and …, 2023 - asmedigitalcollection.asme.org
The corotational frame method is widely used in the simulation of flexible multibody
dynamics. Its core idea is to separate the rigid motion from the flexible deformation so that it …

A Hybrid Neurodynamic Scheme for Bimanual Synchronized Tracking Control of Robotic Manipulators With Uncertain Kinematics

P Yu, N Tan, X Gu - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
The reconfigurability and structural complexity of robotic manipulators introduce significant
challenges to their kinematic modeling, making traditional model-based methods less …

Analysis of Efficient and Fast Prediction Method for the Kinematics Solution of the Steel Bar Grinding Robot

W Shi, J Zhang, L Li, Z Li, Y Zhang, X **ong, T Wang… - Applied Sciences, 2023 - mdpi.com
Aiming at the robotization of the grinding process in the steel bar finishing process, the steel
bar grinding robot can achieve the goal of fast, efficient, and accurate online grinding …

Inverse Kinematics of Robotic Manipulators Using a New Learning-by-Example Method

J Demby's, R Farag… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Inverse Kinematics (IK) is one of the most fundamental challenges in robotics. It refers to the
process of determining the joint configurations required to achieve the desired position and …

Adaptive kinematic model learning for macro-micro surgical manipulator control

F Cursi, W Bai, EM Yeatman… - … on Advanced Robotics …, 2022 - ieeexplore.ieee.org
Robot assisted surgery may have a huge role in providing treatments and guaranteeing
safety of doctors and patients. However, surgical robots need accurate models and proper …