Results 21 to 30 of about 15,439 (264)

Augmented reality‐based telepresence in a robotic manipulation task: An experimental evaluation

IET Collaborative Intelligent Manufacturing, 2023
A spectrum of control methods in human–robot interaction was investigated, ranging from direct control to telepresence with a virtual representation of the robot arm.
Thomas A. B. deBoer, Joost C. F. deWinter, Yke Bauke Eisma   +2 more
doaj   +1 more source

Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification

Automation
Object detection is a crucial capability of autonomous agents for human–robot collaboration, as it facilitates the identification of the current processing state.
Markus Eisenbach, Henning Franke, Erik Franze, Mona Köhler, Dustin Aganian, Daniel Seichter, Horst-Michael Gross   +6 more
doaj   +1 more source

Muscle fatigue assessment during robot-mediated movements

Journal of NeuroEngineering and Rehabilitation, 2018
Background Several neuromuscular disorders present muscle fatigue as a typical symptom. Therefore, a reliable method of fatigue assessment may be crucial for understanding how specific disease features evolve over time and for developing effective ...
Maddalena Mugnosso, Francesca Marini, Michael Holmes, Pietro Morasso, Jacopo Zenzeri   +4 more
doaj   +1 more source

Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks

Frontiers in Robotics and AI, 2022
Reliable force-driven robot-interaction requires precise contact wrench measurements. In most robot systems these measurements are severely incorrect and in most manipulation tasks expensive additional force sensors are installed.
Jonas Osburg, Ivo Kuhlemann, Jannis Hagenah, Jannis Hagenah, Floris Ernst   +4 more
doaj   +1 more source

Robotic UBIquitous COgnitive Network [PDF]

, 2012
Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them self-adaptive, so as to reduce the amount of preparation, pre-programming and human supervision ...
Amato G, Broxvall M, CHESSA, STEFANO, Dragone M, Gennaro C, López R, Maguire L, Mcginnity TM, MICHELI, ALESSIO, Renteria A, O'Hare GMP, Pecora F.   +11 more
openaire   +2 more sources

Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

Current Directions in Biomedical Engineering, 2020
Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity.
Çallar Tolga-Can, Rueckert Elmar, Böttger Sven   +2 more
doaj   +1 more source

Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning

Advanced Intelligent Systems, 2022
Adapting to uncertainties is essential yet challenging for robots while conducting assembly tasks in real‐world scenarios. Reinforcement learning (RL) methods provide a promising solution for these cases.
Padmaja Kulkarni, Jens Kober, Robert Babuška, Cosimo Della Santina   +3 more
doaj   +1 more source

Simulating 3D Human Postural Stabilization in Vibration and Dynamic Driving

Applied Sciences, 2022
In future automated vehicles we will often engage in non-driving tasks and will not watch the road. This will affect postural stabilization and may elicit discomfort or even motion sickness in dynamic driving.
Mojtaba Mirakhorlo, Nick Kluft, Raj Desai, Marko Cvetković, Tugrul Irmak, Barys Shyrokau, Riender Happee   +6 more
doaj   +1 more source

Effect of repetition on the behavioral and neuronal responses to ambiguous Necker cube images

Scientific Reports, 2021
A repeated presentation of an item facilitates its subsequent detection or identification, a phenomenon of priming. Priming may involve different types of memory and attention and affects neural activity in various brain regions.
Vladimir Maksimenko, Alexander Kuc, Nikita Frolov, Semen Kurkin, Alexander Hramov   +4 more
doaj   +1 more source

Special corner on “cognitive robotics” [PDF]

Cognitive Processing, 2011
Cognitive Robotics (CR) is a theoretical and practicalapproach to implement cognitive abilities for reasoning,perception and action on technical robots. It aims at robotsthat cognize their worlds and can reason, e.g., about goals,beliefs, actions, when to perceive and what to look for, thecognitive states of other agents, or collaborative task exe ...
Stefan, Kopp, Jochen J, Steil
openaire   +2 more sources