Miguel de la Iglesia Valls — accepted AI-conference papers

2024

Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots

Simon Chamorro, Victor Klemm, Miguel de La Iglesia Valls, Christopher Pal, Roland Siegwart

ICRA 2024poster

In recent years, legged and wheeled-legged robots have gained prominence for tasks in environments predominantly created for humans across various domains. One significant challenge faced by many of these robots is their limited capability to navigate stairs, which hampers their functionality in mul…

Cited by 5 Source ↗Scholar ↗

2020

End-to-End Velocity Estimation for Autonomous Racing

Sirish Srinivasan, Inkyu Sa, Alex Zyner, Victor Reijgwart, Miguel de la Iglesia Valls, Roland Siegwart

RA-L 2020

Velocity estimation plays a central role in driverless vehicles, but standard, and affordable methods struggle to cope with extreme scenarios like aggressive maneuvers due to the presence of high sideslip. To solve this, autonomous race cars are usually equipped with expensive external velocity sens

Cited by 35 Source ↗Scholar ↗