Advanced Mobile Robotics: Volume 2

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering and technology; 3D-SLAM; 4WS4WD vehicle; action generation; actuatorless; actuators; adaptive control law; alpine ski; altitude controller; area decomposition; artificial fish swarm algorithm; ATEX; auto-tuning; autonomous underwater vehicle (AUV); autonomous vehicle; behaviour dynamics; bio-inspired robot; biologically-inspired; biomimetic robot; biped climbing robots; biped mechanism; biped robots; cable detection; cable disturbance modeling; car-like kinematics; cart; centralized architecture; centrifugal force; chameleon; cleaning robot; climbing robot; closed-loop detection; coalmine; collision avoidance; compact driving unit; computing time; constrained motion; contact planning; continuous hopping; control efficacy; convolutional neural network; coverage path planning; curvature constraint; curvature constraints; curve fitting; curvilinear obstacle; data association; decision making; deep reinforcement learning; deposition uniformity; design and modeling; dialytic elimination; Differential Evolution; differential wheeled robot; discomfort; disturbance-rejection control; douglas-peuker polygonal approximation; drag-based system; dragonfly; drilling end-effector; droplets penetrability; dynamic coupling analysis; dynamic environment; dynamic gait; dynamic neural networks; dynamic uncertainty; dynamical model; electro-rheological fluids; end effector; enemy avoidance; evolutionary operators; excellent driver model; exoskeleton; expansion logic strategy; exploration; extend procedure; extended state observer (ESO); external disturbance; extremum-seeking; facial and gender recognition; fair optimisation; fault diagnosis; fault recovery; fault-tolerant control; finite-time currents observer; flapping; force control; formation control; formation of robots; G3-continuity; gait adaptation; gait cycle; geodesic; Geometric Algebra; gesture recognition; glass façade cleaning robot; goal exchange; graph representation; grip optimization; grip planning; hardware-in-the-loop simulation; harmonic potential field; head-raising; hierarchical path planning; hierarchical planning; high efficiency; high step-up ratio; high-gain observer; high-speed target; hopping robot; hover mode; human-machine interactive navigation; human-robot interaction; hybrid bionic robot; hybrid robot; immersion and invariance; industrial robotic manipulator; inertial measurement unit (IMU); input saturation; integral line-of-sight; intelligent mobile robot; inverse kinematics; iterative learning; joint limit avoidance; jumping robot; kinematic identification; kinematic singularity; kinematics; lane change; legged robot; load carriage; localization; loop closure detection; LOS; lumped parameter method; Lyapunov-like function; machine learning; magneto-rheological fluids; manipulation action sequences; manipulation planning; manipulator; mapping; master-slave; mathematical modeling; mechanism; medical devices; methane; micro air vehicle; micro mobile robot; minimally invasive surgery robot; missile control system; mobile manipulation; mobile robot; mobile robot navigation; mobile robots; monocular vision; motion camouflage control; motion sensor; MPC; multi-criteria decision making; multi-objective optimization; multiple mobile robots; muscle activities; n/a; negative buoyancy; negative-buoyancy; neural networks; Newton iteration; non-holonomic mobile robot; non-holonomic robot; non-inertial reference frame; non-prehensile manipulation; non-singular fast-terminal sliding-mode control; nonlinear differentiator; NSGA-II; numerical evaluation; object mapping; object-oriented; obstacle avoidance; obstacle avoidance system; ocean current; opposite angle-based exact cell decomposition; optimization; pallet transportation; parallel navigation; passive skiing turn; path following; path planning; path tracking; pesticide application; phase-shifting; PID algorithm; piezoelectric actuator; pneumatics; polyomino tiling theory; position control; position/force cooperative control; potential field; powered exoskeleton; predictable trajectory planning; prescription map translation; PSO; q-learning; Q-networks; quad-tilt rotor; quadcopter UAV; quadruped robot; radial basis function neural networks; real-time action recognition; regional growth; rehabilitation system; reinforcement learning; remotely operated vehicle; rendezvous consensus; robot; robot learning; robot motion; robot navigation; Robot Operating System; robotic drilling; robotics; robots; Rodrigues parameters; ROS; safety; safety recovery mechanism; sample gathering problem; SEA; self-learning; self-reconfigurable robot; series elastic actuator; service robot; servo valve; shape memory alloys; shape-fitting; similarity measure; simultaneous localization and mapping (SLAM); single actuator; singularity analysis; skiing robot; sliding mode control; sliding mode observer; small size; smart materials; snake robot; snake robots; snake-like robot; space robot; sparse pose adjustment (SPA); spatial pyramid pooling; spiral curve; stability analysis; stability criterion; state constraints; static environments; step climbing; stopper; subgoal graphs; swarm-robotics; switching control; symmetrical adaptive variable impedance; system design; target assignment; target tracking; Tetris-inspired; Thau observer; topological map; trajectory interpolation; trajectory planning; transition mode; transportation; tri-tilt-rotor; turning model LIP; UAV; uncertain environments; undiscovered sensor values; unmanned aerial vehicle; unmanned aerial vehicles; unmanned surface vessel; variable speed; variable spray; victim-detection; wall climbing robot; working efficiency
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (498 p.)
• ISBN: 9783039219445; 9783039219452; books978-3-03921-945-2
• Access: Open Access

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.