Computer Science
And-States
8%
Approximation (Algorithm)
8%
Case Study
8%
Communication Strategies
8%
Complex Environment
8%
Control Algorithm
8%
Control Framework
8%
Control Strategy
8%
Conventional Method
8%
Decision-Making
8%
Deep Learning
16%
Deep Neural Network
8%
Deep Recurrent Neural Network
8%
Deep Reinforcement Learning
87%
Dynamic Environment
16%
Experimental Result
8%
Fault Detection
8%
Fault Tolerant
25%
Fuzzy Logic
25%
Haptic Interfaces
8%
Hierarchical Control
8%
Human Experience
12%
Manipulator
12%
Mobile Robot
25%
Motion Planning
25%
Multi-Agent Deep Reinforcement Learning
12%
multiple mobile robot
8%
multiple robot
29%
path planning problem
12%
Planning Phase
8%
Prediction Performance
8%
Recurrent Network
8%
Reinforcement Learning
25%
Replay Method
6%
Robot
100%
robotic platform
8%
Sensory Information
8%
Supporting Object
8%
Swarm Robotics
8%
Target Location
8%
Target Position
8%
Task Completion Time
8%
Training Process
8%
Trajectory Planning
25%
Unmanned Aerial Vehicle
25%
Virtual Environments
8%
Engineering
Angular Velocity ω
12%
Artificial Neural Network
5%
Collision Avoidance
61%
Computational Efficiency
13%
Computational Time
13%
Control Algorithm
8%
Cooperative
25%
Deep Learning
16%
Deep Neural Network
16%
Efficient Path
50%
Energy Constraint
5%
Experimental Result
5%
Genetic Algorithm
15%
High Resolution
13%
Human Action
12%
Level Sensor
12%
Linear Velocity
12%
Mobile Robot
50%
Mutation Operator
5%
Network Model
8%
Path Planning
75%
Planning Phase
8%
Policy Control
16%
Prediction Performance
8%
Recurrent
8%
Recurrent Network
8%
Reinforcement Learning
75%
Road
5%
Robot
30%
Safety Standard
5%
Sensor Data
12%
Simulation Result
8%
Simulation Software
12%
System State
8%
Target Position
8%
Tasks
16%
Trajectory Planning
25%
Unmanned Aerial Vehicle
25%
