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cs.RO2026

Bidirectional Incremental Generalized Hybrid A*

Sidharth Talia, Oren Salzman, Siddhartha Srinivasa

We focus on the problem of efficient anytime kinodynamic planning for systems with complex dynamics in unstructured environments that make precomputing motion primitives infeasible…

cs.RO2026

Scalable Inspection Planning via Flow-based Mixed Integer Linear Programming

Adir Morgan, Kiril Solovey, Oren Salzman

Inspection planning is concerned with computing the shortest robot path to inspect a given set of points of interest (POIs) using the robot's sensors. This problem arises in a wide…

cs.RO2025

Effective Game-Theoretic Motion Planning via Nested Search

Avishav Engle, Andrey Zhitnikov, Oren Salzman +2

To facilitate effective, safe deployment in the real world, individual robots must reason about interactions with other agents, which often occur without explicit communication. Re…

cs.RO2025

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection

Sapir Tubul, Aviv Tamar, Kiril Solovey +1

Motion planning is a central challenge in robotics, with learning-based approaches gaining significant attention in recent years. Our work focuses on a specific aspect of these app…

cs.RO2024

Introducing Delays in Multi-Agent Path Finding

Justin Kottinger, Tzvika Geft, Shaull Almagor +2

We consider a Multi-Agent Path Finding (MAPF) setting where agents have been assigned a plan, but during its execution some agents are delayed. Instead of replanning from scratch w…

cs.RO2024

Inspection planning under execution uncertainty

Shmuel David Alpert, Kiril Solovey, Itzik Klein +1

Autonomous inspection tasks necessitate path-planning algorithms to efficiently gather observations from points of interest (POI). However, localization errors commonly encountered…