Advanced Sensors Technologies Applied in Mobile Robot
This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specia...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Klančar, Gregor |4 edt | |
700 | 1 | |a Seder, Marija |4 edt | |
700 | 1 | |a Blažič, Sašo |4 edt | |
700 | 1 | |a Klančar, Gregor |4 oth | |
700 | 1 | |a Seder, Marija |4 oth | |
700 | 1 | |a Blažič, Sašo |4 oth | |
245 | 1 | 0 | |a Advanced Sensors Technologies Applied in Mobile Robot |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (370 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a UAVs | ||
653 | |a inspection and maintenance | ||
653 | |a mobile robots | ||
653 | |a insulators | ||
653 | |a artificial intelligence | ||
653 | |a mobile cleaning robot | ||
653 | |a vibration source classification | ||
653 | |a predictive maintenance | ||
653 | |a deep learning | ||
653 | |a 1D CNN | ||
653 | |a defect detection | ||
653 | |a Faster R-CNN | ||
653 | |a object detection | ||
653 | |a IoRT | ||
653 | |a inspection robot | ||
653 | |a navigation | ||
653 | |a model predictive control | ||
653 | |a path planing | ||
653 | |a warehouse automation | ||
653 | |a underground mining robots | ||
653 | |a scan matching | ||
653 | |a localization and SLAM in tunnels | ||
653 | |a 2D lidar navigation | ||
653 | |a GPS-denied environment | ||
653 | |a robot navigation | ||
653 | |a path planning | ||
653 | |a potential field | ||
653 | |a bilinear interpolation | ||
653 | |a dynamic local re-planning | ||
653 | |a domestic dirt | ||
653 | |a dirt dataset | ||
653 | |a audit robot | ||
653 | |a cleaning benchmark | ||
653 | |a dirt classification | ||
653 | |a robot-aided cleaning auditing | ||
653 | |a geometrical feature | ||
653 | |a cleaning auditing | ||
653 | |a swarm algorithms | ||
653 | |a motion trajectory prediction | ||
653 | |a kinematical models | ||
653 | |a gait biomechanics | ||
653 | |a spherical robot | ||
653 | |a model | ||
653 | |a simulation | ||
653 | |a CoppeliaSim (V-REP) | ||
653 | |a visual servoing | ||
653 | |a autonomous landing | ||
653 | |a monocular vision | ||
653 | |a aerial robotics | ||
653 | |a localization and SLAM | ||
653 | |a 3D lidar | ||
653 | |a range sensing | ||
653 | |a Uniform Second-Order Sliding Mode Observer | ||
653 | |a Prescribed Performance Control | ||
653 | |a robot manipulators | ||
653 | |a finite-time Stability | ||
653 | |a feature detection | ||
653 | |a light-weight mapping | ||
653 | |a B-splines | ||
653 | |a localization | ||
653 | |a mobile robot | ||
653 | |a complete coverage | ||
653 | |a path smoothing | ||
653 | |a velocity profile optimization | ||
653 | |a humanoid robot | ||
653 | |a state estimation | ||
653 | |a motion capture | ||
653 | |a Whole-Body Control | ||
653 | |a ADHD | ||
653 | |a screening | ||
653 | |a skeleton | ||
653 | |a position estimation | ||
653 | |a indoor positioning | ||
653 | |a sensor fusion | ||
653 | |a RSSI | ||
653 | |a magnetometer | ||
653 | |a fingerprint | ||
653 | |a wheeled mobile robots | ||
653 | |a trajectory generation | ||
653 | |a velocity profile | ||
653 | |a trajectory optimization | ||
653 | |a Bézier curves | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7124 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100031 |7 0 |z DOAB: description of the publication |