Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Tracking control of mobile robot using ANFIS
ANFIS Approach for Navigation of Mobile Robots
Trajectory tracking control for a wheeled mobile robot using fuzzy logic controller
An adaptive technique for trajectory tracking control of a wheeled mobile robots without velocity measurements
Neural network-based adaptive tracking control of mobile robots in the presence of wheel slip and external disturbance force
Curve path tracking control for tractor-trailer mobile robot
Solving inverse kinematics of delta robot using ANFIS
Prediction of inverse kinematics of a 5-DOF pioneer robotic arm having 6-DOF end-effector using ANFIS
Adaptive Trajectory Tracking Control of Skid-Steered Mobile Robots
Trajectory tracking control law for a tractor-trailer wheeled mobile robot
Trajectory tracking control of a four-wheel differentially driven mobile robot
Fuzzy PID Based Trajectory Tracking Control of Mobile Robot and its Simulation in Simulink
A Lifelong Learning Perspective for Mobile Robot Control
Omni-directional mobile robot controller based on trajectory linearization
Model Predictive Control of a Mobile Robot Using Linearization
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
Robust Adaptive Controller for a Tractor–Trailer Mobile Robot
Reactive control architecture for mobile robot autonomous navigation
Explicit Model Predictive Control for trajectory tracking with mobile robots
Tracking-error model-based predictive control for mobile robots in real time
Adaptive control of nonlinear PID-based analog neural networks for a nonholonomic mobile robot
Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective
Instrumentation and sampling strategies for cooperative concurrency bug isolation
ANFIS : Adap tive-Ne twork-Based Fuzzy Inference System
ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism
Meta-learning autoencoders for few-shot prediction