16 citations · 55 across the 9 of their papers we have counts for
12 papers
Toward Certifiable Motion Planning for Medical Steerable Needles
Mengyu Fu, Oren Salzman, Ron Alterovitz
Medical steerable needles can move along 3D curvilinear trajectories to avoid anatomical obstacles and reach clinically significant targets inside the human body. Automating steera…
Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search
Mengyu Fu, Oren Salzman, Ron Alterovitz
The inspection-planning problem calls for computing motions for a robot that allow it to inspect a set of points of interest (POIs) while considering plan quality (e.g., plan lengt…
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
Mengyu Fu, Alan Kuntz, Oren Salzman +1
Inspection planning, the task of planning motions that allow a robot to inspect a set of points of interest, has applications in domains such as industrial, field, and medical robo…
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
Aditya Mandalika, Sanjiban Choudhury, Oren Salzman +1
Lazy search algorithms can efficiently solve problems where edge evaluation is the bottleneck in computation, as is the case for robotic motion planning. The optimal algorithm in t…
Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges
Aditya Mandalika, Oren Salzman, Siddhartha Srinivasa
Motion-planning problems, such as manipulation in cluttered environments, often require a collision-free shortest path to be computed quickly given a roadmap graph. Typically, the…
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury +2
We propose an algorithmic framework for efficient anytime motion planning on large dense geometric roadmaps, in domains where collision checks and therefore edge evaluations are co…