Haptic Intelligence PhD Thesis Defense
30 June 2025 at 10:00 - 10:45 | Hybrid - Zoom plus in-person attendance in ML E 12 at ETH

Towards Robust and Flexible Robot State and Motion Estimation through Optimization and Learning

ORGANIZERS
Thumb ticker sm thumb ticker kjk 2024
Haptic Intelligence
Director
Thumb ticker sm julianphotoamazon min cropped
Haptic Intelligence
  • Doctoral Researcher
Thumb ticker xxl thumb ticker sm julianphotoamazon min cropped

For autonomous agents to operate reliably in the real world, they must perceive their environment, estimate their own and the environment's state, and derive appropriate actions based on their beliefs and the given task. While extensive research has been conducted on robot state estimation and geometric mapping, many existing methods remain tailored to specific hardware configurations or problem setups, limiting their scalability and applicability to future, more diverse scenarios. This thesis explores new directions for state and motion estimation, mapping, and localization, rendering it more robust, generalizable, and less dependent on handcrafted tuning or problem-specific engineering.