Zobrazeno 1 - 10
of 510
pro vyhledávání: '"robot manipulation"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 5, pp. 713-723.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-01-2024-0019
Publikováno v:
In Robotics and Autonomous Systems February 2025 184
Autor:
Jaewoo Kim, Gi-Hun Yang
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11441 (2024)
This paper proposes the force/torque control strategy for the robotized transcranial magnetic stimulation (TMS) system, considering the shape of the TMS coil case. Hybrid position/force control is used to compensate for the error between the current
Externí odkaz:
https://doaj.org/article/cebeaf163a75409eb84780205e7ee8f5
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10665 (2024)
Reinforcement learning (RL) that autonomously explores optimal control policies has become a crucial direction for developing intelligent robots while Dynamic Movement Primitives (DMPs) serve as a powerful tool for efficiently expressing robot trajec
Externí odkaz:
https://doaj.org/article/77e9048ac56848fb98acb00d030374a9
Publikováno v:
IEEE Access, Vol 12, Pp 86553-86571 (2024)
Deep reinforcement learning (DRL) can learn an agent’s optimal behavior from the experience it gains through interacting with its environment. However, since the decision-making process of DRL agents is a black-box, it is difficult for users to und
Externí odkaz:
https://doaj.org/article/a0acec4c95a94ddc964cdfde2001b234
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 811-823 (2023)
Abstract Learning visual predictive models has great potential for real-world robot manipulations. Visual predictive models serve as a model of real-world dynamics to comprehend the interactions between the robot and objects. However, prior works in
Externí odkaz:
https://doaj.org/article/febc402743134fb3970f9a598f2de5af
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/b79b0343643e4a9fb5b5cef75e9b8db8
Publikováno v:
Machines, Vol 12, Iss 8, p 506 (2024)
Objects in cluttered environments may have similar sizes and shapes, which remains a huge challenge for robot grasping manipulation. The existing segmentation methods, such as Mask R-CNN and Yolo-v8, tend to lose the shape details of objects when dea
Externí odkaz:
https://doaj.org/article/53732cb5218747e5b645c0696d05e762
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
IntroductionBehavioral Cloning (BC) is a common imitation learning method which utilizes neural networks to approximate the demonstration action samples for task manipulation skill learning. However, in the real world, the demonstration trajectories
Externí odkaz:
https://doaj.org/article/75f70f5cf6794d52a6110812b93be795
Publikováno v:
Cognitive Computation and Systems, Vol 5, Iss 1, Pp 14-29 (2023)
Abstract In recent years, human hand‐based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand mo
Externí odkaz:
https://doaj.org/article/5efa700caff741588093234e5b71320e