5 papers
Language-Driven Cost Optimization for Autonomous Driving
Diego Martinez-Baselga, Khaled Mustafa, Javier Alonso-Mora
The driving behavior of autonomous vehicles is typically governed by the cost function of their motion planner, which encodes objectives such as speed tracking, smoothness, lane ke…
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…
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments
Diego Martinez-Baselga, Luis Riazuelo, Luis Montano
Autonomous navigation in dynamic environments is a complex but essential task for autonomous robots, with recent deep reinforcement learning approaches showing promising results. H…
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion
Diego Martinez-Baselga, Eduardo Sebastián, Eduardo Montijano +3
We present AVOCADO (AdaptiVe Optimal Collision Avoidance Driven by Opinion), a novel navigation approach to address holonomic robot collision avoidance when the robot does not know…
Improving robot navigation in crowded environments using intrinsic rewards
Diego Martinez-Baselga, Luis Riazuelo, Luis Montano
Autonomous navigation in crowded environments is an open problem with many applications, essential for the coexistence of robots and humans in the smart cities of the future. In re…