Reliability (semiconductor)
Related papers: 20
About
Reliability in the semiconductor context refers to the ability of electronic components, circuits, and systems to perform their intended functions consistently over time without failure under specified operating conditions. In robotics and AI, semiconductor reliability is critical because autonomous systems depend on microprocessors, sensors, power electronics, and communication chips that must operate continuously in demanding environments — including extreme temperatures, vibration, moisture, and electromagnetic interference. Engineers assess reliability through metrics such as mean time between failures (MTBF), failure mode analysis, and accelerated life testing, while techniques like redundant circuitry, fault-tolerant architectures, and predictive maintenance help mitigate component degradation. This matters profoundly because unreliable semiconductors can cause catastrophic failures in safety-critical applications such as surgical robots, autonomous vehicles, industrial manipulators, and unmanned ground vehicles operating in harsh field conditions. As robotic systems become more deeply embedded in healthcare, infrastructure inspection, and human-robot collaboration, ensuring that the underlying semiconductor hardware remains dependable directly determines whether these systems can be trusted to perform safely and effectively over their operational lifetimes.
Top Researchers
Top Institutes
Top Cited Papers
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots
Christoph Bartneck, Dana Kulić, Elizabeth A. Croft, Susana Zoghbi
Citations: 3034 • 2008
Pneumatic Networks for Soft Robotics that Actuate Rapidly
Bobak Mosadegh, Panagiotis Polygerinos, Christoph Keplinger, Sophia Wennstedt, Robert F. Shepherd, Unmukt Gupta, Jongmin Shim, Katia Bertoldi, Conor J. Walsh, George M. Whitesides
Citations: 1557 • 2014
Developing and validating a service robot integration willingness scale
Lu Lu, Ruiying Cai, Doğan Gürsoy
Citations: 941 • 2019
Agricultural robots for field operations: Concepts and components
Avital Bechar, Clément Vigneault
Citations: 712 • 2016
Brain-Computer Interfaces in Medicine
Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw
Citations: 711 • 2012
VFH+: reliable obstacle avoidance for fast mobile robots
Iwan Ulrich, J. Borenstein
Citations: 694 • 2002
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
Van Nhan Nguyen, Robert Jenssen, Davide Roverso
Citations: 565 • 2018
Multiple Hydrogen Bonding Enables the Self‐Healing of Sensors for Human–Machine Interactions
Jie Cao, Canhui Lu, Jian Zhuang, Manxiao Liu, Xinxing Zhang, Yanmei Yu, Qingchuan Tao
Citations: 501 • 2017
Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
Qiang Miao, Lei Xie, Hengjuan Cui, Wei Liang, Michael Pecht
Citations: 482 • 2012
Would You Trust a (Faulty) Robot?
Maha Salem, Gabriella Lakatos, Farshid Amirabdollahian, Kerstin Dautenhahn
Citations: 472 • 2015
Measurement of negative attitudes toward robots
Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda, Kensuke Kato
Citations: 465 • 2006
Design and application of industrial machine vision systems
H. Golnabi, A. Asadpour
Citations: 376 • 2007
Flexible temperature sensors: A review
Burcu Arman Kuzubaşoğlu, Senem Kurşun Bahadır
Citations: 364 • 2020
Unlocking the potential of advanced manufacturing technologies
Kenneth K. Boyer, G. Keong Leong, Peter T. Ward, Lee J. Krajewski
Citations: 350 • 1997
Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery
Heikki Laaki, Yoan Miché, Kari Tammi
Citations: 339 • 2019
Trust in Artificial Intelligence: Meta-Analytic Findings
Alexandra D. Kaplan, Theresa T. Kessler, J. Christopher Brill, Peter A. Hancock
Citations: 330 • 2021
A Standardized Approach to the Fugl-Meyer Assessment and Its Implications for Clinical Trials
Jill See, Lucy Dodakian, Cathy Chou, Vicky Chan, Alison McKenzie, David J. Reinkensmeyer, Steven C. Cramer
Citations: 308 • 2013
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
Vinay Chamola, Vikas Hassija, A. Razia Sulthana, Debshishu Ghosh, Divyansh Dhingra, Biplab Sikdar
Citations: 275 • 2023
Self‐Healing, Adhesive, and Highly Stretchable Ionogel as a Strain Sensor for Extremely Large Deformation
Limei Zhang, Yuan He, Sibo Cheng, Hao Sheng, Keren Dai, Wen Zheng, Mei Xiang Wang, Zhen Shan Chen, Zhigang Suo
Citations: 275 • 2019
The tactile internet: vision, recent progress, and open challenges
Martin Maier, Mahfuzulhoq Chowdhury, Bhaskar Prasad Rimal, Dung Pham Van
Citations: 274 • 2016