Results 11 to 20 of about 974,674 (296)
Research regarding assembly flow optimization of wiring harness in automotive industry [PDF]
MATEC Web of Conferences, 2021 Considering the strong need for improvement of security and multimedia systems in the automotive industry, wiring harness production is becoming more and more important.
Stefan (Iorga) Ioana +4 more
doaj +1 more source
Teleoperation of Humanoid Robots: A Survey [PDF]
IEEE Transactions on robotics, 2023 Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots.
K. Darvish +7 more
semanticscholar +1 more source
RMA: Rapid Motor Adaptation for Legged Robots [PDF]
Robotics: Science and Systems, 2021 Successful real-world deployment of legged robots would require them to adapt in real-time to unseen scenarios like changing terrains, changing payloads, wear and tear.
Ashish Kumar +3 more
semanticscholar +1 more source
Trust in Robot–Robot Scaffolding
IEEE Transactions on Cognitive and Developmental Systems, 2023 The study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce their computational load, which is analogous to human cognitive load.
Murat Kirtay +3 more
openaire +3 more sources
Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges [PDF]
IEEE Control Systems, 2021 From a functional standpoint, classic robots are not at all similar to biological systems. If compared with rigid robots, animals’ bodies look overly redundant, imprecise, and weak.
Cosimo Della Santina +2 more
semanticscholar +1 more source
Frontiers in Neurorobotics, 2021 Gait phase classification is important for rehabilitation training in patients with lower extremity motor dysfunction. Classification accuracy of the gait phase also directly affects the effect and rehabilitation training cycle.
Yuepeng Zhang +7 more
doaj +1 more source
Methods to identify time series abnormalities and predicting issues caused by component failures [PDF]
MATEC Web of Conferences, 2019 Anomaly detection is a crucial analysis topic in the field of Industry 4.0 data mining as well as knowing what is the probability that a specific machine to go down due to a failure of a component in the next time interval.
Deac Crina Narcisa +3 more
doaj +1 more source
Review of Autonomous Path Planning Algorithms for Mobile Robots
Drones, 2023 Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles, play an increasingly important role in people’s work and lives.
Hongwei Qin +5 more
semanticscholar +1 more source
Pollution and Weather Reports: Using Machine Learning for Combating Pollution in Big Cities
Sensors, 2021 Air pollution has become the most important issue concerning human evolution in the last century, as the levels of toxic gases and particles present in the air create health problems and affect the ecosystems of the planet.
Cicerone Laurentiu Popa +5 more
doaj +1 more source
The development of PID temperature controllers based on FEM thermal analysis [PDF]
MATEC Web of Conferences, 2021 Nowadays, most of the electronic components that are deployed in industrial devices represent active heat sources that demand adequate cooling solutions to ensure their safe and reliable operation.
Alexandru Tudor George, Pupaza Cristina
doaj +1 more source