Autonomous robots need to know what is around them and where it is safe for them to move to. Because having this ability is so important, Dr. Seng and myself have created a model to predict the free space in front of his autonomous robot, Herbie. We then use this prediction to enforce a driving policy to ensure Herbie drives around safely
The main focus of this research is to develop an autonomous robot capable of self-navigation in an u...
The ability to detect, characterize, and avoid obstacles is a critical requirement for autonomous ro...
Increasingly complex automated driving functions, specifically those associated with Free Space Dete...
Autonomous robots can be assigned with various tasks such as moving payload, analyzing terrain, and ...
110 pagesAutonomous robotic navigation in unstructured, complex environments requires the robot to r...
Vision based free space detection is an upcoming approach to obstacle detection in robotics. The pro...
Robotic path planning and obstacle avoidance has been the subject of intensive research in recent ye...
Free space detection based on visual clues is an upcoming approach in robotics. Our working domain i...
Autonomous path-following systems allow robots to traverse large-scale networks of paths using on-bo...
In this paper we primarily concentrate on control architectures for robot navigation. We classify th...
It is extremely difficult to teach robots the skills that humans take for granted. Understanding the...
Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost of tra...
Autonomous navigation is a traditional research topic in intelligent robotics and vehicles, which re...
Guiding and navigating a robot through obstacles can be integrated into many applications; such as g...
In recent years, robotic technology has improved significantly, aided by cutting-edge scientific res...
The main focus of this research is to develop an autonomous robot capable of self-navigation in an u...
The ability to detect, characterize, and avoid obstacles is a critical requirement for autonomous ro...
Increasingly complex automated driving functions, specifically those associated with Free Space Dete...
Autonomous robots can be assigned with various tasks such as moving payload, analyzing terrain, and ...
110 pagesAutonomous robotic navigation in unstructured, complex environments requires the robot to r...
Vision based free space detection is an upcoming approach to obstacle detection in robotics. The pro...
Robotic path planning and obstacle avoidance has been the subject of intensive research in recent ye...
Free space detection based on visual clues is an upcoming approach in robotics. Our working domain i...
Autonomous path-following systems allow robots to traverse large-scale networks of paths using on-bo...
In this paper we primarily concentrate on control architectures for robot navigation. We classify th...
It is extremely difficult to teach robots the skills that humans take for granted. Understanding the...
Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost of tra...
Autonomous navigation is a traditional research topic in intelligent robotics and vehicles, which re...
Guiding and navigating a robot through obstacles can be integrated into many applications; such as g...
In recent years, robotic technology has improved significantly, aided by cutting-edge scientific res...
The main focus of this research is to develop an autonomous robot capable of self-navigation in an u...
The ability to detect, characterize, and avoid obstacles is a critical requirement for autonomous ro...
Increasingly complex automated driving functions, specifically those associated with Free Space Dete...