10 citations · 15 across the 5 of their papers we have counts for
14 papers
Motion Planning for a Pair of Tethered Robots
Reza H. Teshnizi, Dylan A. Shell
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 le…
Accelerating combinatorial filter reduction through constraints
Yulin Zhang, Hazhar Rahmani, Dylan A. Shell +1
Reduction of combinatorial filters involves compressing state representations that robots use. Such optimization arises in automating the construction of minimalist robots. But exa…
Planning to Chronicle
Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane
An important class of applications entails a robot monitoring, scrutinizing, or recording the evolution of an uncertain time-extended process. This sort of situation leads an inter…
Every Action Based Sensor
Grace McFassel, Dylan A. Shell
In studying robots and planning problems, a basic question is what is the minimal information a robot must obtain to guarantee task completion. Erdmann's theory of action-based sen…
Abstractions for computing all robotic sensors that suffice to solve a planning problem
Yulin Zhang, Dylan A. Shell
Whether a robot can perform some specific task depends on several aspects, including the robot's sensors and the plans it possesses. We are interested in search algorithms that tre…
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty. This problem may be posed as a stochastic optimal control problem, complete solution to which is fundamentally intrac…