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20212024
most citedScenario-Based Motion Planning with Bounded Probability of Collision

6 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 4 cited

SHINE: Social Homology Identification for Navigation in Crowded Environments

Diego Martinez-Baselga, Oscar de Groot, Luzia Knoedler +3

Navigating mobile robots in social environments remains a challenging task due to the intricacies of human-robot interactions. Most of the motion planners designed for crowded and…

cs.RO2024★ 3 cited

Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

Oscar de Groot, Laura Ferranti, Dariu M. Gavrila +1

Ground robots navigating in complex, dynamic environments must compute collision-free trajectories to avoid obstacles safely and efficiently. Nonconvex optimization is a popular me…

cs.RO2023★ 6 cited

Scenario-Based Motion Planning with Bounded Probability of Collision

Oscar de Groot, Laura Ferranti, Dariu Gavrila +1

Robots will increasingly operate near humans that introduce uncertainties in the motion planning problem due to their complex nature. Typically, chance constraints are introduced i…

cs.RO2023★ 1 cited

Globally Guided Trajectory Planning in Dynamic Environments

O. de Groot, L. Ferranti, D. Gavrila +1

Navigating mobile robots through environments shared with humans is challenging. From the perspective of the robot, humans are dynamic obstacles that must be avoided. These obstacl…

cs.RO2021

Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments

O. de Groot, B. Brito, L. Ferranti +2

We present an optimization-based method to plan the motion of an autonomous robot under the uncertainties associated with dynamic obstacles, such as humans. Our method bounds the m…