Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Opportunity and Threat in Parallel: How Artificial Intelligence Application Predicts Employees' Proactive Learning Behavior Through Parallel Primary Appraisals. [PDF]
Lu Y, Ye L, Shen S.
europepmc +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff +4 more
wiley +1 more source
Organizational Support and Reward Systems as Drivers of Teleworker Engagement: The Mediating Role of Organizational Trust. [PDF]
Figueiredo E +3 more
europepmc +1 more source
Employee perceptions of performance appraisal
Aiempi tutkimus on jo pidemmän aikaa osoittanut yhteyden henkilöstöjohtamisen ja suorituksen välillä, mutta kysymys siitä miten tämä yhteys muodostuu, on jäänyt vähemmälle huomiolle. Bowen ja Ostroff (2004) ovat esittäneet, että työntekijöiden tulkitessa henkilöstöjohtamisen prosessit yhtenäisesti, syntyy vahva organisaatioilmasto.
openaire +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Work-life balance and silent resignation among bank employees: the moderating roles of emotional intelligence and psychological empowerment. [PDF]
Uğurbulduk H, Efeoğlu IE.
europepmc +1 more source
Employee perceptions of workplace learning
M.Phil. This study was aimed at gaining a deeper understanding of employees' perceptions of workplace learning. It furthermore represents a documentation of these perceptions in the form of this report. The essay examines perspectives on workplace learning, literature on "learning organisations", as well as the current legislative framework for ...
openaire +1 more source

