Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

Despite decades of research, existing navigation systems still face real-world challenges
when deployed in the wild, eg, in cluttered home environments or in human-occupied public …

The human-robot interaction community has developed many methods for robots to navigate
safely and socially alongside humans. However, experimental procedures to evaluate these …

Research in the field of social robotics is allowing service robots to operate in environments
with people. In the aim of realizing the vision of humans and robots coexisting in the same …

In this letter, we present a novel navigation system of unmanned ground vehicle (UGV) for
local path planning based on deep reinforcement learning. The navigation system …

Many autonomous agents, such as intelligent vehicles, are inherently required to interact
with one another. Game theory provides a natural mathematical tool for robot motion …

This paper contributes a method to design a novel navigation planner exploiting a learning-
based collision prediction network. The neural network is tasked to predict the collision cost …

Autonomous navigation and information gathering in challenging environments are
demanding since the robot's sensors may be susceptible to non-negligible noise, its …

The efficiency of a robotic system is primarily determined by its ability to navigate complex
and interactive environments. In real-world scenarios, cluttered surroundings are common …

This paper contributes a novel and modularized learning-based method for aerial robots
navigating cluttered environments containing hard-to-perceive thin obstacles without …