activity
20192024
most citedIntegrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery

200 citations · 353 across the 26 of their papers we have counts for

collaborators
Showing 2022 · cs.ROShow all

8 papers · 2 filters

cs.RO2022★ 2 cited

Local Planner Bench: Benchmarking for Local Motion Planning

Max Spahn, Chadi Salmi, Javier Alonso-Mora

Local motion planning is a heavily researched topic in the field of robotics with many promising algorithms being published every year. However, it is difficult and time-consuming…

cs.RO2022

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems

Alexander Botros, Armin Sadeghi, Nils Wilde +2

Many problems in robotics seek to simultaneously optimize several competing objectives under constraints. A conventional approach to solving such multi-objective optimization probl…

cs.RO2022★ 6 cited

Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints

Aaron Ray, Alyssa Pierson, Hai Zhu +2

We address the problem of assigning a team of drones to autonomously capture a set desired shots of a dynamic target in the presence of obstacles. We present a two-stage planning p…

cs.RO2022★ 1 cited

Dynamic Optimization Fabrics for Motion Generation

Max Spahn, Martijn Wisse, Javier Alonso-Mora

Optimization fabrics are a geometric approach to real-time local motion generation, where motions are designed by the composition of several differential equations that exhibit a d…

cs.RO2022

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning

Luzia Knoedler, Chadi Salmi, Hai Zhu +2

Autonomous mobile robots require accurate human motion predictions to safely and efficiently navigate among pedestrians, whose behavior may adapt to environmental changes. This pap…

cs.RO2022★ 11 cited

Regulations Aware Motion Planning for Autonomous Surface Vessels in Urban Canals

Jitske de Vries, Elia Trevisan, Jules van der Toorn +3

In unstructured urban canals, regulation-aware interactions with other vessels are essential for collision avoidance and social compliance. In this paper, we propose a regulations…