Abstract — We present a general notion of robust motion specification and a mechanism for sequentially composing them. These motion specifications form tubular abstrac-tions of the trajectories of a robot in different control modes, and are inspired by the techniques available for the design and analysis of low-level controllers. In particular, characterizations of input to output stability with respect to the disturbance inputs and trajectory tracking error output provide a suitable parametrization of the tubes. We also describe a randomized planner that composes different motion specifications from a given database to guarantee that any corresponding sequence of control modes steers a robot to a given region while avoiding obstacles. The ...
The final publication is available at link.springer.comForward singularities, also known as direct, ...
International audienceIn this paper we extend the previously introduced notion of closed-loop state ...
In this paper we put forward a framework that integrates features of reactive planning models with m...
With the availability of robots capable of performing complex missions, formal approaches to control...
We address the problem of learning robust plans for robot navigation by observing particular robot b...
In this thesis we present a technique for the composition of robot control laws in dynamical environ...
AbstractIn robotics uncertainty exists at both planning and execution time. Effective planning must ...
Safe autonomous operation of dynamical systems has become one of the most important research problem...
Poulakakis, IoannisRobots operating in the real world are expected to encounter a wide range of exog...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This paper is focused on solving the multiple robots motion planning problem in a robust way, wherea...
This paper describes a holistic method for automatically synthesizing controllers for a team of robo...
We present a framework for analyzing and computing motion plans for a robot that operates in an envi...
Abstract-A method for the design of controllers of constrained manipulators in the presence of model...
This work proposes a novel method of incorpo-rating calls to a motion planner inside a potential fie...
The final publication is available at link.springer.comForward singularities, also known as direct, ...
International audienceIn this paper we extend the previously introduced notion of closed-loop state ...
In this paper we put forward a framework that integrates features of reactive planning models with m...
With the availability of robots capable of performing complex missions, formal approaches to control...
We address the problem of learning robust plans for robot navigation by observing particular robot b...
In this thesis we present a technique for the composition of robot control laws in dynamical environ...
AbstractIn robotics uncertainty exists at both planning and execution time. Effective planning must ...
Safe autonomous operation of dynamical systems has become one of the most important research problem...
Poulakakis, IoannisRobots operating in the real world are expected to encounter a wide range of exog...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This paper is focused on solving the multiple robots motion planning problem in a robust way, wherea...
This paper describes a holistic method for automatically synthesizing controllers for a team of robo...
We present a framework for analyzing and computing motion plans for a robot that operates in an envi...
Abstract-A method for the design of controllers of constrained manipulators in the presence of model...
This work proposes a novel method of incorpo-rating calls to a motion planner inside a potential fie...
The final publication is available at link.springer.comForward singularities, also known as direct, ...
International audienceIn this paper we extend the previously introduced notion of closed-loop state ...
In this paper we put forward a framework that integrates features of reactive planning models with m...