Results 121 to 130 of about 104,434 (268)

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

On manipulating motion gain in immersive virtual environments: An unidentified source of external noise and a new psychometric function. [PDF]

J Vis
Freeman TCA, Haynes JD, Gallagher M, Culling JF.   +3 more
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Authors' Reply: Enhancing Team-Based Learning in Virtual Environments: The Role of Avatar Agency and Immersive Social Presence. [PDF]

JMIR Med Educ
Sripadungkul D, Boonmak S, Somjit M, Plailaharn N, Sriraj W, Boonmak P.   +5 more
europepmc   +1 more source

Empathic embarrassment towards non-human agents in virtual environments. [PDF]

Sci Rep, 2023
Hapuarachchi H, Higashihata K, Sugiura M, Sato A, Itakura S, Kitazaki M.   +5 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Cybersickness Evaluation in Immersive Virtual Environments: A Systematic Review with Implications for Neurological Rehabilitation. [PDF]

J Clin Med
Fernández-Cañas M, Ortiz-Gutiérrez RM, Martín-Casas P, Estrada-Barranco C, Marcos-Antón S, Blázquez-Fernández A, Laguarta-Val S, Jiménez-Antona C, Cano-de-la-Cuerda R.   +8 more
europepmc   +1 more source

Editorial: Using virtual environments to understand behavior. [PDF]

Front Behav Neurosci, 2023
Curcio G, Placidi G, Triberti S.
europepmc   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

The Effect of Crowds on Peripersonal Space and Interpersonal Distance in Immersive Virtual Environments. [PDF]

Int Symp Mix Augment Real
Lyu Y, Chakraborty S, Lee HS, Gagnon H, Park S, Bodenheimer B.   +5 more
europepmc   +1 more source