Javier Alonso-Mora

research

∙ 07/18/2023

Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations

We present a method for sampling-based model predictive control that mak...

0 Corrado Pezzato, et al. ∙

research

∙ 07/08/2023

Optimizing Task Waiting Times in Dynamic Vehicle Routing

We study the problem of deploying a fleet of mobile robots to service ta...

0 Alexander Botros, et al. ∙

research

∙ 07/03/2023

Scenario-Based Motion Planning with Bounded Probability of Collision

Robots will increasingly operate near humans that introduce uncertaintie...

0 Oscar de Groot, et al. ∙

research

∙ 04/14/2023

A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians

Robotic applications involving people often require advanced perception ...

0 Sara Casao, et al. ∙

research

∙ 04/11/2023

Contingency Games for Multi-Agent Interaction

Contingency planning, wherein an agent generates a set of possible plans...

0 Lasse Peters, et al. ∙

research

∙ 04/11/2023

TrajFlow: Learning the Distribution over Trajectories

Predicting the future behaviour of people remains an open challenge for ...

0 Anna Mészáros, et al. ∙

research

∙ 03/21/2023

Pooled Grocery Delivery with Tight Deadlines from Multiple Depots

We study routing for on-demand last-mile logistics with two crucial nove...

0 Maximilian Kronmueller, et al. ∙

research

∙ 02/21/2023

Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments

Balancing safety and efficiency when planning in crowded scenarios with ...

0 Khaled A. Mustafa, et al. ∙

research

∙ 02/14/2023

Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving

Risk assessment is a crucial component of collision warning and avoidanc...

0 Xinwei Wang, et al. ∙

research

∙ 02/14/2023

Autotuning Symbolic Optimization Fabrics for Trajectory Generation

In this paper, we present an automated parameter optimization method for...

0 Max Spahn, et al. ∙

research

∙ 02/13/2023

Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals

Autonomous vehicles that operate in urban environments shall comply with...

0 Lucas Streichenberg, et al. ∙

research

∙ 02/03/2023

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations

Robots deployed to the real world must be able to interact with other ag...

0 Lasse Peters, et al. ∙

research

∙ 12/06/2022

Active Classification of Moving Targets with Learned Control Policies

In this paper, we consider the problem where a drone has to collect sema...

0 Álvaro Serra-Gómez, et al. ∙

research

∙ 11/27/2022

Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin

Reinforcement learning (RL) is a promising solution for autonomous vehic...

0 Kevin Voogd, et al. ∙

research

∙ 11/24/2022

Learning to Play Trajectory Games Against Opponents with Unknown Objectives

Many autonomous agents, such as intelligent vehicles, are inherently req...

0 Xinjie Liu, et al. ∙

research

∙ 10/12/2022

Local Planner Bench: Benchmarking for Local Motion Planning

Local motion planning is a heavily researched topic in the field of robo...

0 Max Spahn, et al. ∙

research

∙ 10/04/2022

Wi-Closure: Reliable and Efficient Search of Inter-robot Loop Closures Using Wireless Sensing

In this paper we propose a novel algorithm, Wi-Closure, to improve compu...

0 Weiying Wang, et al. ∙

research

∙ 06/01/2022

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems

Many problems in robotics seek to simultaneously optimize several compet...

0 Alexander Botros, et al. ∙

research

∙ 05/31/2022

Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints

We address the problem of assigning a team of drones to autonomously cap...

0 Aaron Ray, et al. ∙

research

∙ 05/17/2022

Dynamic Optimization Fabrics for Motion Generation

Optimization fabrics represent a geometric approach to real-time motion ...

0 Max Spahn, et al. ∙

research

∙ 05/03/2022

Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways

Real-time safety systems are crucial components of intelligent vehicles....

0 Xinwei Wang, et al. ∙

research

∙ 04/30/2022

Learning Mixed Strategies in Trajectory Games

In multi-agent settings, game theory is a natural framework for describi...

0 Lasse Peters, et al. ∙

research

∙ 02/24/2022

Regulations Aware Motion Planning for Autonomous Surface Vessels in Urban Canals

In unstructured urban canals, regulation-aware interactions with other v...

0 Jitske de Vries, et al. ∙

research

∙ 02/15/2022

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning

Autonomous mobile robots require accurate human motion predictions to sa...

0 Luzia Knoedler, et al. ∙

research

∙ 02/13/2022

Continuous Occupancy Mapping in Dynamic Environments Using Particles

Dynamic occupancy maps were proposed in recent years to model the obstac...

0 Gang Chen, et al. ∙

research

∙ 01/11/2022

Decentralized Probabilistic Multi-Robot Collision Avoidance Using Buffered Uncertainty-Aware Voronoi Cells

In this paper, we present a decentralized and communication-free collisi...

0 Hai Zhu, et al. ∙

research

∙ 10/28/2021

Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery

Multi-agent Pickup and Delivery (MAPD) is a challenging industrial probl...

0 Zhe Chen, et al. ∙

research

∙ 07/09/2021

Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios

Autonomous navigation in dense traffic scenarios remains challenging for...

4 Bruno Brito, et al. ∙

research

∙ 05/06/2021

How to split the costs among travellers sharing a ride? Aligning system's optimum with users' equilibrium

How to form groups in a mobility system that offers shared rides, and ho...

0 Andrés Fielbaum, et al. ∙

research

∙ 03/17/2021

Online Informative Path Planning for Active Information Gathering of a 3D Surface

This paper presents an online informative path planning approach for act...

0 Hai Zhu, et al. ∙

research

∙ 02/25/2021

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians

Robotic navigation in environments shared with other robots or humans re...

0 Bruno Brito, et al. ∙

research

∙ 02/10/2021

Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments

This paper presents a data-driven decentralized trajectory optimization ...

0 Hai Zhu, et al. ∙

research

∙ 10/20/2020

Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments

This paper presents a method for local motion planning in unstructured e...

0 Bruno Brito, et al. ∙

research

∙ 10/18/2020

Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians

Prediction of human motions is key for safe navigation of autonomous rob...

0 Bruno Brito, et al. ∙

research

∙ 09/25/2020

With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance

Decentralized multi-robot systems typically perform coordinated motion p...

0 Álvaro Serra-Gómez, et al. ∙

research

∙ 06/04/2020

Comment on "A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles"

This comment presents the results of using chance-constrained model pred...

0 Hai Zhu, et al. ∙

research

∙ 02/12/2020

Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments

In this paper, we present an on-board vision-based approach for avoidanc...

0 Jiahao Lin, et al. ∙

research

∙ 06/28/2019

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors

In this paper we propose an algorithm for the training of neural network...

0 Stefan Stevsic, et al. ∙

research

∙ 07/05/2018

The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague

In densely populated-cities, the use of private cars for personal transp...

0 Davide Fiedler, et al. ∙

research

∙ 11/18/2013

A message-passing algorithm for multi-agent trajectory planning

We describe a novel approach for computing collision-free global traject...

0 José Bento, et al. ∙

Javier Alonso-Mora

Featured Co-authors