Kerstin Schill

About

Kerstin Schill is a leading researcher at the intersection of cognitive science, robotics, and human activity analysis. Her work focuses on bridging the gap between human everyday behavior and autonomous robotic systems, with a particular emphasis on spatial cognition and sensorimotor reasoning. As a key figure in the Everyday Activities Science and Engineering (EASE) Collaborative Research Consortium, Schill has spearheaded efforts to develop cognition-enabled robots capable of understanding and replicating complex human tasks. Her foundational work on the EASE Human Activities Data Analysis Pipeline (2020, 11 citations) provides a framework for collecting and interpreting diverse human activity data to improve robotic performance. Schill has also made notable contributions to autonomous driving through her development of a Kalman filter with moving reference for jump-free, multi-sensor odometry (2020, 9 citations), addressing critical challenges in vehicle pose estimation. Her innovative use of the VirtuSphere platform (2012, 4 citations) has advanced understanding of spatial information processing, with implications for assistive devices and robotic systems. More recently, her 2025 work on probabilistic actual causation in robot pouring demonstrates her commitment to enabling robots to learn from unexpected outcomes, a crucial step toward truly adaptive autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   From Human to Robot Everyday Activity

   11 citations · 2020
2. 2
   Kalman Filter with Moving Reference for Jump-Free, Multi-Sensor Odometry with Application in Autonomous Driving

   9 citations · 2020
3. 3
   Exploring Virtual Worlds in a Computerised Hamster Wheel

   4 citations · 2012
4. 4
   Robot pouring: identifying causes of spillage and selecting alternative action parameters using probabilistic actual causation

   1 citations · 2025

Key Collaborators

Contact & Links