activity
20242026
collaborators

5 papers

cs.RO2026

Learning Diffusion Policies for Robotic Manipulation of Timber Joinery under Fabrication Uncertainty

Salma Mozaffari, Daniel Ruan, William van den Bogert +3

Fabrication uncertainty arising from tolerance accumulation, material imperfection, and positioning errors remains a critical barrier to automated robotic assembly in construction,…

cs.RO2025

GrOMP: Grasped Object Manifold Projection for Multimodal Imitation Learning of Manipulation

William van den Bogert, Gregory Linkowski, Nima Fazeli

Imitation Learning (IL) holds great potential for learning repetitive manipulation tasks, such as those in industrial assembly. However, its effectiveness is often limited by insuf…

cs.RO2025

Built Different: Tactile Perception to Overcome Cross-Embodiment Capability Differences in Collaborative Manipulation

William van den Bogert, Madhavan Iyengar, Nima Fazeli

Tactile sensing is a widely-studied means of implicit communication between robot and human. In this paper, we investigate how tactile sensing can help bridge differences between r…

cs.RO2024

Contrastive Touch-to-Touch Pretraining

Samanta Rodriguez, Yiming Dou, William van den Bogert +4

Today's tactile sensors have a variety of different designs, making it challenging to develop general-purpose methods for processing touch signals. In this paper, we learn a unifie…

cs.RO2024

GelSlim 4.0: Focusing on Touch and Reproducibility

Andrea Sipos, William van den Bogert, Nima Fazeli

Tactile sensing provides robots with rich feedback during manipulation, enabling a host of perception and controls capabilities. Here, we present a new open-source, vision-based ta…