Advanced Mobile Robotics: Volume 2
Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book Chapter |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2020
|
| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 11775naaaa2203637uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_40203 | ||
| 005 | 20210211 | ||
| 020 | |a books978-3-03921-945-2 | ||
| 020 | |a 9783039219452 | ||
| 020 | |a 9783039219445 | ||
| 024 | 7 | |a 10.3390/books978-3-03921-945-2 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Kim, DaeEun |4 auth | |
| 245 | 1 | 0 | |a Advanced Mobile Robotics: Volume 2 |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (498 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 653 | |a similarity measure | ||
| 653 | |a swarm-robotics | ||
| 653 | |a drag-based system | ||
| 653 | |a PID algorithm | ||
| 653 | |a human-robot interaction | ||
| 653 | |a behaviour dynamics | ||
| 653 | |a state constraints | ||
| 653 | |a fair optimisation | ||
| 653 | |a micro mobile robot | ||
| 653 | |a robot | ||
| 653 | |a actuators | ||
| 653 | |a high-gain observer | ||
| 653 | |a turning model LIP | ||
| 653 | |a space robot | ||
| 653 | |a manipulation action sequences | ||
| 653 | |a subgoal graphs | ||
| 653 | |a remotely operated vehicle | ||
| 653 | |a constrained motion | ||
| 653 | |a joint limit avoidance | ||
| 653 | |a curvilinear obstacle | ||
| 653 | |a rehabilitation system | ||
| 653 | |a stability criterion | ||
| 653 | |a system design | ||
| 653 | |a quad-tilt rotor | ||
| 653 | |a iterative learning | ||
| 653 | |a spiral curve | ||
| 653 | |a cable detection | ||
| 653 | |a SEA | ||
| 653 | |a douglas-peuker polygonal approximation | ||
| 653 | |a predictable trajectory planning | ||
| 653 | |a ATEX | ||
| 653 | |a obstacle avoidance system | ||
| 653 | |a kinematic singularity | ||
| 653 | |a collision avoidance | ||
| 653 | |a biologically-inspired | ||
| 653 | |a jumping robot | ||
| 653 | |a differential wheeled robot | ||
| 653 | |a design and modeling | ||
| 653 | |a control efficacy | ||
| 653 | |a robotics | ||
| 653 | |a extremum-seeking | ||
| 653 | |a object-oriented | ||
| 653 | |a non-holonomic mobile robot | ||
| 653 | |a magneto-rheological fluids | ||
| 653 | |a rendezvous consensus | ||
| 653 | |a altitude controller | ||
| 653 | |a master-slave | ||
| 653 | |a switching control | ||
| 653 | |a deep reinforcement learning | ||
| 653 | |a mechanism | ||
| 653 | |a expansion logic strategy | ||
| 653 | |a negative buoyancy | ||
| 653 | |a action generation | ||
| 653 | |a radial basis function neural networks | ||
| 653 | |a unmanned aerial vehicles | ||
| 653 | |a extend procedure | ||
| 653 | |a glass façade cleaning robot | ||
| 653 | |a convolutional neural network | ||
| 653 | |a climbing robot | ||
| 653 | |a micro air vehicle | ||
| 653 | |a car-like kinematics | ||
| 653 | |a variable speed | ||
| 653 | |a machine learning | ||
| 653 | |a dynamical model | ||
| 653 | |a transportation | ||
| 653 | |a geodesic | ||
| 653 | |a unmanned surface vessel | ||
| 653 | |a medical devices | ||
| 653 | |a stopper | ||
| 653 | |a extended state observer (ESO) | ||
| 653 | |a high efficiency | ||
| 653 | |a object mapping | ||
| 653 | |a multi-objective optimization | ||
| 653 | |a hybrid robot | ||
| 653 | |a robot learning | ||
| 653 | |a auto-tuning | ||
| 653 | |a cable disturbance modeling | ||
| 653 | |a manipulation planning | ||
| 653 | |a pesticide application | ||
| 653 | |a high-speed target | ||
| 653 | |a sparse pose adjustment (SPA) | ||
| 653 | |a service robot | ||
| 653 | |a lumped parameter method | ||
| 653 | |a Geometric Algebra | ||
| 653 | |a dynamic coupling analysis | ||
| 653 | |a Thau observer | ||
| 653 | |a tri-tilt-rotor | ||
| 653 | |a industrial robotic manipulator | ||
| 653 | |a hardware-in-the-loop simulation | ||
| 653 | |a robotic drilling | ||
| 653 | |a muscle activities | ||
| 653 | |a small size | ||
| 653 | |a chameleon | ||
| 653 | |a continuous hopping | ||
| 653 | |a wall climbing robot | ||
| 653 | |a hover mode | ||
| 653 | |a 3D-SLAM | ||
| 653 | |a curvature constraints | ||
| 653 | |a PSO | ||
| 653 | |a drilling end-effector | ||
| 653 | |a Rodrigues parameters | ||
| 653 | |a gait adaptation | ||
| 653 | |a static environments | ||
| 653 | |a position/force cooperative control | ||
| 653 | |a snake-like robot | ||
| 653 | |a shape-fitting | ||
| 653 | |a powered exoskeleton | ||
| 653 | |a input saturation | ||
| 653 | |a kinematic identification | ||
| 653 | |a methane | ||
| 653 | |a human-machine interactive navigation | ||
| 653 | |a q-learning | ||
| 653 | |a path following | ||
| 653 | |a hopping robot | ||
| 653 | |a mobile manipulation | ||
| 653 | |a high step-up ratio | ||
| 653 | |a actuatorless | ||
| 653 | |a monocular vision | ||
| 653 | |a stability analysis | ||
| 653 | |a compact driving unit | ||
| 653 | |a snake robot | ||
| 653 | |a non-holonomic robot | ||
| 653 | |a curvature constraint | ||
| 653 | |a phase-shifting | ||
| 653 | |a dialytic elimination | ||
| 653 | |a gesture recognition | ||
| 653 | |a snake robots | ||
| 653 | |a series elastic actuator | ||
| 653 | |a flapping | ||
| 653 | |a servo valve | ||
| 653 | |a motion camouflage control | ||
| 653 | |a biomimetic robot | ||
| 653 | |a minimally invasive surgery robot | ||
| 653 | |a centralized architecture | ||
| 653 | |a trajectory planning | ||
| 653 | |a computing time | ||
| 653 | |a adaptive control law | ||
| 653 | |a kinematics | ||
| 653 | |a facial and gender recognition | ||
| 653 | |a single actuator | ||
| 653 | |a victim-detection | ||
| 653 | |a shape memory alloys | ||
| 653 | |a undiscovered sensor values | ||
| 653 | |a discomfort | ||
| 653 | |a Differential Evolution | ||
| 653 | |a numerical evaluation | ||
| 653 | |a quadruped robot | ||
| 653 | |a coverage path planning | ||
| 653 | |a localization | ||
| 653 | |a MPC | ||
| 653 | |a n/a | ||
| 653 | |a fault diagnosis | ||
| 653 | |a neural networks | ||
| 653 | |a disturbance-rejection control | ||
| 653 | |a sample gathering problem | ||
| 653 | |a cart | ||
| 653 | |a bio-inspired robot | ||
| 653 | |a opposite angle-based exact cell decomposition | ||
| 653 | |a optimization | ||
| 653 | |a safety | ||
| 653 | |a goal exchange | ||
| 653 | |a hierarchical planning | ||
| 653 | |a ocean current | ||
| 653 | |a robot motion | ||
| 653 | |a nonlinear differentiator | ||
| 653 | |a mapping | ||
| 653 | |a finite-time currents observer | ||
| 653 | |a Newton iteration | ||
| 653 | |a inverse kinematics | ||
| 653 | |a deposition uniformity | ||
| 653 | |a spatial pyramid pooling | ||
| 653 | |a hierarchical path planning | ||
| 653 | |a end effector | ||
| 653 | |a head-raising | ||
| 653 | |a fault recovery | ||
| 653 | |a LOS | ||
| 653 | |a path tracking | ||
| 653 | |a non-inertial reference frame | ||
| 653 | |a step climbing | ||
| 653 | |a obstacle avoidance | ||
| 653 | |a sliding mode control | ||
| 653 | |a symmetrical adaptive variable impedance | ||
| 653 | |a lane change | ||
| 653 | |a quadcopter UAV | ||
| 653 | |a singularity analysis | ||
| 653 | |a biped mechanism | ||
| 653 | |a fault-tolerant control | ||
| 653 | |a dynamic neural networks | ||
| 653 | |a mobile robots | ||
| 653 | |a data association | ||
| 653 | |a UAV | ||
| 653 | |a enemy avoidance | ||
| 653 | |a reinforcement learning | ||
| 653 | |a grip optimization | ||
| 653 | |a safety recovery mechanism | ||
| 653 | |a exoskeleton | ||
| 653 | |a dynamic environment | ||
| 653 | |a uncertain environments | ||
| 653 | |a hybrid bionic robot | ||
| 653 | |a potential field | ||
| 653 | |a robot navigation | ||
| 653 | |a cleaning robot | ||
| 653 | |a unmanned aerial vehicle | ||
| 653 | |a non-singular fast-terminal sliding-mode control | ||
| 653 | |a contact planning | ||
| 653 | |a Lyapunov-like function | ||
| 653 | |a piezoelectric actuator | ||
| 653 | |a transition mode | ||
| 653 | |a non-prehensile manipulation | ||
| 653 | |a multiple mobile robots | ||
| 653 | |a Tetris-inspired | ||
| 653 | |a real-time action recognition | ||
| 653 | |a integral line-of-sight | ||
| 653 | |a topological map | ||
| 653 | |a alpine ski | ||
| 653 | |a target tracking | ||
| 653 | |a closed-loop detection | ||
| 653 | |a working efficiency | ||
| 653 | |a mathematical modeling | ||
| 653 | |a curve fitting | ||
| 653 | |a force control | ||
| 653 | |a biped robots | ||
| 653 | |a NSGA-II | ||
| 653 | |a mobile robot | ||
| 653 | |a load carriage | ||
| 653 | |a prescription map translation | ||
| 653 | |a artificial fish swarm algorithm | ||
| 653 | |a Q-networks | ||
| 653 | |a self-reconfigurable robot | ||
| 653 | |a G3-continuity | ||
| 653 | |a autonomous vehicle | ||
| 653 | |a loop closure detection | ||
| 653 | |a excellent driver model | ||
| 653 | |a robots | ||
| 653 | |a graph representation | ||
| 653 | |a regional growth | ||
| 653 | |a target assignment | ||
| 653 | |a evolutionary operators | ||
| 653 | |a intelligent mobile robot | ||
| 653 | |a motion sensor | ||
| 653 | |a exploration | ||
| 653 | |a droplets penetrability | ||
| 653 | |a dynamic uncertainty | ||
| 653 | |a simultaneous localization and mapping (SLAM) | ||
| 653 | |a area decomposition | ||
| 653 | |a multi-criteria decision making | ||
| 653 | |a 4WS4WD vehicle | ||
| 653 | |a biped climbing robots | ||
| 653 | |a skiing robot | ||
| 653 | |a ROS | ||
| 653 | |a decision making | ||
| 653 | |a smart materials | ||
| 653 | |a centrifugal force | ||
| 653 | |a missile control system | ||
| 653 | |a formation of robots | ||
| 653 | |a electro-rheological fluids | ||
| 653 | |a pneumatics | ||
| 653 | |a variable spray | ||
| 653 | |a inertial measurement unit (IMU) | ||
| 653 | |a Robot Operating System | ||
| 653 | |a trajectory interpolation | ||
| 653 | |a formation control | ||
| 653 | |a immersion and invariance | ||
| 653 | |a dragonfly | ||
| 653 | |a parallel navigation | ||
| 653 | |a harmonic potential field | ||
| 653 | |a pallet transportation | ||
| 653 | |a mobile robot navigation | ||
| 653 | |a negative-buoyancy | ||
| 653 | |a grip planning | ||
| 653 | |a manipulator | ||
| 653 | |a position control | ||
| 653 | |a external disturbance | ||
| 653 | |a legged robot | ||
| 653 | |a passive skiing turn | ||
| 653 | |a autonomous underwater vehicle (AUV) | ||
| 653 | |a gait cycle | ||
| 653 | |a path planning | ||
| 653 | |a sliding mode observer | ||
| 653 | |a dynamic gait | ||
| 653 | |a self-learning | ||
| 653 | |a polyomino tiling theory | ||
| 653 | |a coalmine | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2068 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/40203 |7 0 |z DOAB: description of the publication |