Advanced Mobile Robotics Volume 2

© 2020 by the authors; CC BY-NC-ND license

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; 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