Abstract: Probabilistic collision detection (PCD) is essential in motion planning for robots operating in unstructured environments, where considering sensing uncertainty helps prevent damage.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
A little more than a year ago, on a trip to Nairobi, Kenya, some colleagues and I met a 12-year-old Masai boy named Richard Turere, who told us a fascinating story. His family raises livestock on the ...
Abstract: This research explores the positive application of deepfake technology for upper body generation, specifically sign language for the D(d)eaf and hard of hearing (DHoH) community. Given the ...
The field of sustainable and intelligent phytoprotection is witnessing rapid progress at the intersection of plant science, computer vision, and robotics. Effective phytoprotection relies on early and ...
Welcome to the official repository for "AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection." This project introduces AnomalyMoE, a novel and universal framework ...
If you find our work useful, please consider citing our paper: @article{buechner2025visual, author={Büchner, Martin and Dahiya, Liza and Dorer, Simon and Ramtekkar, Vipul and Nishiimiya, Kenji and ...
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