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...
Format: | eBook |
---|---|
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
LEADER | 05388namaa2201453uu 4500 | ||
---|---|---|---|
001 | doab100031 | ||
003 | oapen | ||
005 | 20230511 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 230511s2023 xx |||||o ||| 0|eng d | ||
020 | |a 9783036572383 | ||
020 | |a 9783036572390 | ||
020 | |a books978-3-0365-7239-0 | ||
024 | 7 | |a 10.3390/books978-3-0365-7239-0 |2 doi | |
040 | |a oapen |c oapen | ||
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
720 | 1 | |a Klančar, Gregor |4 edt | |
720 | 1 | |a Blažič, Sašo |4 edt | |
720 | 1 | |a Blažič, Sašo |4 oth | |
720 | 1 | |a Klančar, Gregor |4 oth | |
720 | 1 | |a Seder, Marija |4 edt | |
720 | 1 | |a Seder, Marija |4 oth | |
245 | 0 | 0 | |a Advanced Sensors Technologies Applied in Mobile Robot |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 online 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 |f Unrestricted online access |2 star | |
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 |u https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a History of engineering & technology |2 bicssc | |
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a 1D CNN | ||
653 | |a 2D lidar navigation | ||
653 | |a 3D lidar | ||
653 | |a ADHD | ||
653 | |a aerial robotics | ||
653 | |a artificial intelligence | ||
653 | |a audit robot | ||
653 | |a autonomous landing | ||
653 | |a B-splines | ||
653 | |a Bézier curves | ||
653 | |a bilinear interpolation | ||
653 | |a cleaning auditing | ||
653 | |a cleaning benchmark | ||
653 | |a complete coverage | ||
653 | |a CoppeliaSim (V-REP) | ||
653 | |a deep learning | ||
653 | |a defect detection | ||
653 | |a dirt classification | ||
653 | |a dirt dataset | ||
653 | |a domestic dirt | ||
653 | |a dynamic local re-planning | ||
653 | |a Faster R-CNN | ||
653 | |a feature detection | ||
653 | |a fingerprint | ||
653 | |a finite-time Stability | ||
653 | |a gait biomechanics | ||
653 | |a geometrical feature | ||
653 | |a GPS-denied environment | ||
653 | |a humanoid robot | ||
653 | |a indoor positioning | ||
653 | |a inspection and maintenance | ||
653 | |a inspection robot | ||
653 | |a insulators | ||
653 | |a IoRT | ||
653 | |a kinematical models | ||
653 | |a light-weight mapping | ||
653 | |a localization | ||
653 | |a localization and SLAM | ||
653 | |a localization and SLAM in tunnels | ||
653 | |a magnetometer | ||
653 | |a mobile cleaning robot | ||
653 | |a mobile robot | ||
653 | |a mobile robots | ||
653 | |a model | ||
653 | |a model predictive control | ||
653 | |a monocular vision | ||
653 | |a motion capture | ||
653 | |a motion trajectory prediction | ||
653 | |a n/a | ||
653 | |a navigation | ||
653 | |a object detection | ||
653 | |a path planing | ||
653 | |a path planning | ||
653 | |a path smoothing | ||
653 | |a position estimation | ||
653 | |a potential field | ||
653 | |a predictive maintenance | ||
653 | |a Prescribed Performance Control | ||
653 | |a range sensing | ||
653 | |a robot manipulators | ||
653 | |a robot navigation | ||
653 | |a robot-aided cleaning auditing | ||
653 | |a RSSI | ||
653 | |a scan matching | ||
653 | |a screening | ||
653 | |a sensor fusion | ||
653 | |a simulation | ||
653 | |a skeleton | ||
653 | |a spherical robot | ||
653 | |a state estimation | ||
653 | |a swarm algorithms | ||
653 | |a trajectory generation | ||
653 | |a trajectory optimization | ||
653 | |a UAVs | ||
653 | |a underground mining robots | ||
653 | |a Uniform Second-Order Sliding Mode Observer | ||
653 | |a velocity profile | ||
653 | |a velocity profile optimization | ||
653 | |a vibration source classification | ||
653 | |a visual servoing | ||
653 | |a warehouse automation | ||
653 | |a wheeled mobile robots | ||
653 | |a Whole-Body Control | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/100031 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/7124 |7 0 |z Open Access: DOAB, download the publication |