A comprehensive review of haptic feedback in minimally invasive robotic liver surgery: Advancements and challenges
M Selim, D Dresscher… - The International Journal of …, 2024 - Wiley Online Library
Background Liver medical procedures are considered one of the most challenging because
of the liver's complex geometry, heterogeneity, mechanical properties, and movement due to …
of the liver's complex geometry, heterogeneity, mechanical properties, and movement due to …
[图书][B] Autonomous agricultural vehicles: Concepts, principles, components, and development guidelines
A Roshanianfard, SF Ardabili - 2024 - taylorfrancis.com
This comprehensive guide to agricultural robots is the ideal companion for any student or
professional engineer looking to understand and develop autonomous vehicles to use on …
professional engineer looking to understand and develop autonomous vehicles to use on …
Strain Gauge Neural Network-Based Estimation as an Alternative for Force and Torque Sensor Measurements in Robot Manipulators
When a robotic manipulator interacts with its environment, the end-effector forces need to be
measured to assess if a task has been completed successfully and for safety reasons …
measured to assess if a task has been completed successfully and for safety reasons …
Hybrid Adaptive Impedance and Admittance Control Based on the Sensorless Estimation of Interaction Joint Torque for Exoskeletons: A Case Study of an Upper Limb …
Physiotherapy is the treatment to recover a patient's mobility and limb function after an injury,
illness, or disability. Rehabilitation robots can be used to replace human physiotherapists …
illness, or disability. Rehabilitation robots can be used to replace human physiotherapists …
Influence of the Stiffness of the Robotic Arm on the Position of the Effector of an EOD Robot
Terrestrial robots are being employed in a variety of sectors and for a variety of objectives.
The purpose of this paper is to analyze and validate an analytical–numerical model of a …
The purpose of this paper is to analyze and validate an analytical–numerical model of a …
Neural Network-based End-effector Force Estimation for Mobile Manipulator on Simulated Uneven Surfaces
Mobile robotic manipulators often interact with other robots, humans or the environment in
indoor and outdoor scenarios. In many cases, end-effector forces need to be known to give …
indoor and outdoor scenarios. In many cases, end-effector forces need to be known to give …
Using deep neural networks to improve contact wrench estimation of serial robotic manipulators in static tasks
J Osburg, I Kuhlemann, J Hagenah… - Frontiers in Robotics and …, 2022 - frontiersin.org
Reliable force-driven robot-interaction requires precise contact wrench measurements. In
most robot systems these measurements are severely incorrect and in most manipulation …
most robot systems these measurements are severely incorrect and in most manipulation …
Distribution Based Upper Lower Bound Estimation In Deep Neural Nets
MR Eressa, H Badis, D Grosso - 2022 21st IEEE International …, 2022 - ieeexplore.ieee.org
A crucial part of forecasting is quantifying the uncertainties involved during prediction.
Neural networks are great at making points estimates. However, the lack of uncertainty …
Neural networks are great at making points estimates. However, the lack of uncertainty …
LSTM-based Inverse Dynamics Learning for Franka Emika Robot
JN Schneider, L Gorißen, T Kaster… - 2024 International …, 2024 - ieeexplore.ieee.org
This paper investigates long-short-term-memory-based learning of inverse dynamics for an
industrial robot from experimental data. A Franka Emika Robot is used as a case study to …
industrial robot from experimental data. A Franka Emika Robot is used as a case study to …
[PDF][PDF] DRIVING FORCE ESTIMATION OF 3-PRS PARALLEL ROBOT BASED ON DEEP LEARNING
G Chen, H Zhou, J Huang, D Guo, J Kang… - International …, 2024 - ijomam.com
Aiming at the problem of the difficulty in solving the dynamics driving force of the parallel
robot, a deep learning model is proposed to estimate the slider driving force of the 3-PRS …
robot, a deep learning model is proposed to estimate the slider driving force of the 3-PRS …