DRL	Deep reinforcement learning
RL	Reinforcement learning
PRM	Probabilistic Roadmap
TD3	Twin Delayed Deep Deterministic Policy Gradients
SLAM	Simultaneous Localization and Mapping
AMCL	Adaptive Monte Carlo Localization
A*	A-star search algorithm
RRT	Rapidly-exploring Random Trees
APF	Artificial Potential Field
DWA	Dynamic Window Approach
TEB	Timed Elastic Band
CNN	Convolutional neural networks
A3C	Asynchronous advantage Actor-Critic
CARML	Collision avoidance robotics via meta-learning
MDP	Markov Decision Process
ROS	Robot Operation System
URDF	Unified Robot Description Format
ODE	Open Dynamics Engine
PPO	Proximal Policy Optimization
DDPG	Deep Deterministic Policy Gradient
SAC	Soft Actor-Critic