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Found 6 papers, 1 papers with code
A Model for Optimal Resilient Planning Subject to Fallible Actuators
Robots incurring component failures ought to adapt their behavior to best realize still-attainable goals under reduced capacity.
Motion Planning for a Pair of Tethered Robots
Considering an environment containing polygonal obstacles, we address the problem of planning motions for a pair of planar robots connected to one another via a cable of limited length.
Accelerating combinatorial filter reduction through constraints
Reduction of combinatorial filters involves compressing state representations that robots use.
Every Action Based Sensor
Finally, we show also that this is a complete characterization of action-based sensors for planning problems and discuss how an action-based sensor translates into the traditional conception of a sensor.
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)
We consider the problem of robotic planning under uncertainty.
Optimization and Control Robotics Systems and Control Systems and Control
Toward a language-theoretic foundation for planning and filtering
We address problems underlying the algorithmic question of automating the co-design of robot hardware in tandem with its apposite software.
