Results 181 to 190 of about 1,512,680 (298)

Development and Assessment of a Soft Wearable for sEMG-Based Hand Grip Detection and Control of a Virtual Environment. [PDF]

Sensors (Basel)
Chatragadda L, Fletcher A, Zhong S, Vargas FA, Bhagat N, Mankodiya K, Delmonico MJ, Solanki D.   +7 more
europepmc   +1 more source

Adapting a Medical School Cancer Research Education Program to the Virtual Environment: a Mixed-Methods Study. [PDF]

J Cancer Educ, 2023
Vayani OR, Asif H, Klein A, Hahn OM, Pearson AT, Arora VM, Olopade OI, Golden DW.   +7 more
europepmc   +1 more source

Virtual reality and virtual environment

, 2007
These two terms are usually considered as being synonymous, and are equally used when speaking about a world that is totally recreated by computer simulation. They indeed present similarities, but they also differ in their history, in the contexts in which they are used, and finally in the concepts they are carrying.
openaire   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Extending the Calgary Audit and Feedback Framework into the virtual environment: a process evaluation and empiric evidence. [PDF]

Implement Sci Commun
Woodhouse D, Duncan D, Ferrie L, Omodon O, Mehta A, Pokharel S, Ambasta A.   +6 more
europepmc   +1 more source

Stay away from me: Coughing increases social distance even in a virtual environment. [PDF]

PLoS One, 2022
Shiomi M, Kubota A, Kimoto M, Iio T, Shimohara K.   +4 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Simulated Practice Learning Experience in a Virtual Environment: An Innovative Pedagogical Approach to Practice Learning for Nursing Students. [PDF]

Nurs Rep
Faulds S, Taylor A.
europepmc   +1 more source

Chimpanzees (Pan troglodytes) navigate to find hidden fruit in a virtual environment. [PDF]

Sci Adv, 2022
Allritz M, Call J, Schweller K, McEwen ES, de Guinea M, Janmaat KRL, Menzel CR, Dolins FL.   +7 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source