This paper first discusses two strategies for controlling robot motions: planning under pre-described models, and reactive local control by evaluating sensor information. A hybrid control concept is then introduced to integrate both the deliberative and the reactive strategies so that a priori knowledge can be efficiently utilised and on-line sensor data integrated. Based on subgoals for guiding global motion directions, this concept can be decomposed into three components: subgoal planning, subgoal interpolation and subgoal-guided plan execution. Means of realising these components are briefly described. Simulation with examples for both manipulators and mobile robots demonstrates the feasibility of this concept. I. Introduction This work...
In recent years, the interest in research on robots has increased extensively; mainly due to avoid h...
This paper presents a modeling and analysis method for the motion planning and control of mobile rob...
International audienceRobot motion planning and control is an essential component in creating autono...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
In this paper we put forward a framework that integrates features of reactive planning models with m...
As robots become more integrated into everyday society, an increasing emphasis is being placed on th...
This thesis investigates a reactive motion planning and controller framework that enables robots to ...
The primary focus is on providing a formal basis for behavior- based robotics using techniques that ...
A significant challenge of autonomous robotics in transportation, exploration, and search-and-rescue...
This work presents the concept and realisation of the integration of deliberative and reactive strat...
For a robot to operate in the real world, which is dynamic, unstructured, and unknowable, it must be...
© 2003 IEEE. This paper presents an event-based hybrid system approach for the motion planning and c...
This paper presents a hybrid automata approach for modeling and analyzing the robotic motion plannin...
Autonomous robot systems operating in an uncertain environment pose many challenges to their control...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
In recent years, the interest in research on robots has increased extensively; mainly due to avoid h...
This paper presents a modeling and analysis method for the motion planning and control of mobile rob...
International audienceRobot motion planning and control is an essential component in creating autono...
Hybrid architectures provide an effective means for integrating world knowledge with reactive contro...
In this paper we put forward a framework that integrates features of reactive planning models with m...
As robots become more integrated into everyday society, an increasing emphasis is being placed on th...
This thesis investigates a reactive motion planning and controller framework that enables robots to ...
The primary focus is on providing a formal basis for behavior- based robotics using techniques that ...
A significant challenge of autonomous robotics in transportation, exploration, and search-and-rescue...
This work presents the concept and realisation of the integration of deliberative and reactive strat...
For a robot to operate in the real world, which is dynamic, unstructured, and unknowable, it must be...
© 2003 IEEE. This paper presents an event-based hybrid system approach for the motion planning and c...
This paper presents a hybrid automata approach for modeling and analyzing the robotic motion plannin...
Autonomous robot systems operating in an uncertain environment pose many challenges to their control...
Traditional AI methods for navigational planning use qualitative spatial representations and reasoni...
In recent years, the interest in research on robots has increased extensively; mainly due to avoid h...
This paper presents a modeling and analysis method for the motion planning and control of mobile rob...
International audienceRobot motion planning and control is an essential component in creating autono...