State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review
B Zhang, Y Xie, J Zhou, K Wang, Z Zhang - Computers and Electronics in …, 2020 - Elsevier
Grasping, carrying and placing of objects are the fundamental capabilities and common
operations for robots and robotic manipulators. Grippers are the most essential components …
operations for robots and robotic manipulators. Grippers are the most essential components …
Opportunistic planning in autonomous underwater missions
This paper explores the execution of planned autonomous underwater vehicle (AUV)
missions where opportunities to achieve additional utility can arise during execution. The …
missions where opportunities to achieve additional utility can arise during execution. The …
Sliding Mode Impedance Control for contact intervention of an I-AUV: Simulation and experimental validation
Position/force control of an Intervention Autonomous Underwater Vehicle (I-AUV) is
essential to many underwater intervention tasks (eg, marine equipment maintenance …
essential to many underwater intervention tasks (eg, marine equipment maintenance …
Dynamics modeling of human–machine control interface for underwater teleoperation
This paper presents an experimental study on new paradigms of haptic-based teleoperated
navigation of underwater vehicles. Specifically, the work is focused on investigating the …
navigation of underwater vehicles. Specifically, the work is focused on investigating the …
Adaptive admittance control in task-priority framework for contact force control in autonomous underwater floating manipulation
This paper presents a control architecture for an underwater vehicle-manipulator system
(UVMS) to enable simultaneous tracking of end-effector configuration and contact force …
(UVMS) to enable simultaneous tracking of end-effector configuration and contact force …
PANDORA-persistent autonomy through learning, adaptation, observation and replanning
Abstract PANDORA is a EU FP7 project that is developing new computational methods to
make underwater robots Persistently Autonomous, significantly reducing the frequency of …
make underwater robots Persistently Autonomous, significantly reducing the frequency of …
Symbolic-based recognition of contact states for learning assembly skills
Imitation learning is gaining more attention because it enables robots to learn skills from
human demonstrations. One of the major industrial activities that can benefit from imitation …
human demonstrations. One of the major industrial activities that can benefit from imitation …
Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
The sense of touch is essential for robots to perform various daily tasks. Artificial Neural
Networks have shown significant promise in advancing robotic tactile learning. However …
Networks have shown significant promise in advancing robotic tactile learning. However …
Development and control of a humanoid underwater robot
With the deepening of ocean development, the tasks that underwater vehicles need to
perform are more complex. Shared control provides a reliable scheme for robots to …
perform are more complex. Shared control provides a reliable scheme for robots to …
[图书][B] Human Hand Pose Estimation and Artificial Tactile Sensing in Harsh Environments
ER Peltola - 2022 - search.proquest.com
In Study# 1, we develop a novel, data-driven method to estimate the kinematic parameters of
multi-joint linkages such as the human hand. The method can identify up to two consecutive …
multi-joint linkages such as the human hand. The method can identify up to two consecutive …