From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Software-defined self-learning control system for industrial robots by using reinforcement learning. [PDF]
Moon J, Kim M, Lee T, Um J.
europepmc +1 more source
Preparing students to use virtual learning environments : information literacy and independent researching [PDF]
Anestis Sitas +3 more
openalex
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Physical nature enhances creativity, while virtual nature strengthens creative self-concept. [PDF]
Jafari Ranjbar M +3 more
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Virtual reality and perioperative anxiety: a randomized controlled trial. [PDF]
Ouaz M +5 more
europepmc +1 more source
Mindscape: Research of high-information density street environments based on electroencephalogram recording and virtual reality head-mounted simulation [PDF]
Yijiang Liu +3 more
openalex +1 more source
Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao +3 more
wiley +1 more source

