9 papers
STEM: Semantic Target Search and Exploration using MAVs in Cluttered Environments
Nikhil Sethi, Max Lodel, Laura Ferranti +2
Autonomous target search is crucial for deploying Micro Aerial Vehicles (MAVs) in emergency response and rescue missions. Existing approaches either focus on 2D semantic navigation…
Learning Transferable Motor Skills for Geometry-Aware Robotic Surface Tasks
Miroslav David, Karla Stepanova, Robert Babuska
Robotic surface-interaction tasks, such as spray painting or welding, require both accurate geometric planning and precise motion execution. While modern motion planners generate v…
From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback
Zhaoting Li, Rodrigo Pérez-Dattari, Robert Babuska +2
Behavior cloning (BC) optimizes policies by treating human demonstrations as pointwise action labels. While effective with accurate action labels, this formulation is brittle in pr…
Learning Semantic Priorities for Autonomous Target Search
Max Lodel, Nils Wilde, Robert Babuška +1
The use of semantic features can improve the efficiency of target search in unknown environments for robotic search and rescue missions. Current target search methods rely on train…
ILeSiA: Interactive Learning of Robot Situational Awareness from Camera Input
Petr Vanc, Giovanni Franzese, Jan Kristof Behrens +4
Learning from demonstration is a promising approach for teaching robots new skills. However, a central challenge in the execution of acquired skills is the ability to recognize fau…
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…