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 …

[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 …

Strain Gauge Neural Network-Based Estimation as an Alternative for Force and Torque Sensor Measurements in Robot Manipulators

S Kružić, J Musić, V Papić, R Kamnik - Applied Sciences, 2023 - mdpi.com
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 …

Hybrid Adaptive Impedance and Admittance Control Based on the Sensorless Estimation of Interaction Joint Torque for Exoskeletons: A Case Study of an Upper Limb …

AM Abdullahi, A Haruna, R Chaichaowarat - Journal of Sensor and …, 2024 - mdpi.com
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 …

Influence of the Stiffness of the Robotic Arm on the Position of the Effector of an EOD Robot

A Ștefan, LȘ Grigore, I Oncioiu, D Constantin… - Electronics, 2022 - mdpi.com
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 …

Neural Network-based End-effector Force Estimation for Mobile Manipulator on Simulated Uneven Surfaces

S Kružić, J Musić, I Stančić… - … Conference on Software …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

[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 …