Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing
C Chen, Y Wang, ZT Gao, FY Peng, XW Tang… - Science China …, 2022 - Springer
With the rapid advancement of manufacturing in China, robot machining technology has
become a popular research subject. An increasing number of robots are currently being …
become a popular research subject. An increasing number of robots are currently being …
Motion mappings for continuous bilateral teleoperation
Mapping operator motions to a robot is a key problem in teleoperation. Due to differences
between local and remote workspaces, such as object locations, it is particularly challenging …
between local and remote workspaces, such as object locations, it is particularly challenging …
[HTML][HTML] Learning trajectory distributions for assisted teleoperation and path planning
Several approaches have been proposed to assist humans in co-manipulation and
teleoperation tasks given demonstrated trajectories. However, these approaches are not …
teleoperation tasks given demonstrated trajectories. However, these approaches are not …
Bilateral teleoperation with object-adaptive mapping
Task space mapping approaches for bilateral teleoperation, namely object-centered ones,
have yielded the most promising results. In this paper, we propose an invertible mapping …
have yielded the most promising results. In this paper, we propose an invertible mapping …
Estimation and prediction of deterministic human intent signal to augment haptic glove aided control of robotic hand
The paper focuses on Haptic Glove (HG) based control of a Robotic Hand (RH) executing in-
hand manipulation. A control algorithm is presented to allow the RH relocate the object held …
hand manipulation. A control algorithm is presented to allow the RH relocate the object held …
Generating reactive approach motions towards allowable manifolds using generalized trajectories from demonstrations
There is a high cost associated to the time and expertise required to program complex robot
applications with high variability. This is one of the main barriers that inhibit the entry of …
applications with high variability. This is one of the main barriers that inhibit the entry of …
Deep reinforcement learning for haptic shared control in unknown tasks
FC Fernandez, W Caarls - arXiv preprint arXiv:2101.06227, 2021 - arxiv.org
Recent years have shown a growing interest in using haptic shared control (HSC) in
teleoperated systems. In HSC, the application of virtual guiding forces decreases the user's …
teleoperated systems. In HSC, the application of virtual guiding forces decreases the user's …