most citedReinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin

3 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.ROShow all

13 papers · 1 filter

cs.RO2025

From Data to Safe Mobile Robot Navigation: An Efficient and Modular Robust MPC Design Pipeline

Dennis Benders, Johannes Köhler, Robert Babuška +2

Model predictive control (MPC) is a powerful strategy for planning and control in autonomous mobile robot navigation. However, ensuring safety in real-world deployments remains cha…

cs.RO2025

A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation

Oscar de Groot, Alberto Bertipaglia, Hidde Boekema +21

We present a vehicle system capable of navigating safely and efficiently around Vulnerable Road Users (VRUs), such as pedestrians and cyclists. The system comprises key modules for…

cs.RO2024

Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps

Siyuan Wu, Gang Chen, Moji Shi +1

This paper proposes a decentralized trajectory planning framework for the collision avoidance problem of multiple micro aerial vehicles (MAVs) in environments with static and dynam…

cs.RO2024

Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking

Moji Shi, Gang Chen, Álvaro Serra Gómez +2

Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic ob…

cs.RO2024

Current-Based Impedance Control for Interacting with Mobile Manipulators

Jelmer de Wolde, Luzia Knoedler, Gianluca Garofalo +1

As robots shift from industrial to human-centered spaces, adopting mobile manipulators, which expand workspace capabilities, becomes crucial. In these settings, seamless interactio…

cs.RO202429 cited

Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers

Elia Trevisan, Javier Alonso-Mora

Motion planning for autonomous robots in dynamic environments poses numerous challenges due to uncertainties in the robot's dynamics and interaction with other agents. Sampling-bas…