News
Robot Assistance Primitives with Force-Field Guidance for Shared Task Collaboration
In a recent publication we propose a novel framework for human-robot collaboration (HRC) that addresses the critical need for robots to effectively collaborate with humans on shared tasks within unstructured and dynamic environments.
Digital Trauma Training Setups Integrated into Skills Labs of ETH Human Medicine Studies
Four digital training setups have now become part of the Skills Lab course in the ETH Bachelor program in Human Medicine, showcasing scalable and objective trauma surgery training.
DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-free 3D Reconstruction
Reconstructing clean, distractor-free 3D scenes from realworld captures remains a significant challenge, particularly in highly dynamic and cluttered settings such as egocentric videos. To tackle this problem, in a recent paper publication we introduce DeGauss, a simple and robust self-supervised framework for dynamic scene reconstruction based on a decoupled dynamic-static Gaussian Splatting design.
Innovation Project 2025: "Back to the Roots"
Over 550 students participating in this year's Innovations Project are challenged with the task of planting winter onions and harvesting both apples and plums from different trees in a small scale permaculture garden before delivering the produce into storage containers.
6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion
To enable digital training simulators with realistic tactile feedback and haptic sensations, accurate tracking of surgical tools and anatomical structures in real-time is required. In a recent publication, we propose a novel visual-inertial 6D object pose tracking system for orthopedic surgical training.