Results 161 to 170 of about 2,499,282 (268)
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
This research study investigates the impact of Corporate Social Responsibility (CSR) initiatives on brand image in the Indian market, focusing on consumer perceptions across major metropolitan cities. With CSR becoming a legal requirement for large companies in India, this study aims to explore how CSR efforts influence brand image, trust, and loyalty.
openaire +2 more sources
The effect of sport event brand perception on revisit intention: the mediating roles of experiential satisfaction and emotional connection. [PDF]
Ma L, Han J.
europepmc +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
The impact of sports brand image and product quality on consumer satisfaction: the mediating effects of self-image congruence. [PDF]
Fan J +7 more
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
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
From image to trust: Cross-national pathways to brand evangelism in hospitality sector. [PDF]
Nghia NC, Duy PK, Truong-Dinh BQ.
europepmc +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
'Zero-alcohol' products and the guise of responsibility. [PDF]
Edwardes F, Keric D, Stafford J.
europepmc +1 more source

