Advanced Mobile Robotics Volume 2

Volume 2

Edited by
March 2020
498 pages
  • ISBN978-3-03921-944-5 (Paperback)
  • ISBN978-3-03921-945-2 (PDF)

This book is a reprint of the Special Issue Advanced Mobile Robotics that was published in

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