This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

We present Pose-NDF, a continuous model for plausible human poses based on neural
distance fields (NDFs). Pose or motion priors are important for generating realistic new …

Humans commonly work with multiple objects in daily life and can intuitively transfer
manipulation skills to novel objects by understanding object functional regularities. However …

This paper provides a structured and practical roadmap for practitioners to integrate learning
from demonstration (LfD) into manufacturing tasks, with a specific focus on industrial …

Bimanual manipulation is essential in robotics, yet developing foundation models is
extremely challenging due to the inherent complexity of coordinating two robot arms …

The ability of humans to bimanually manipulate objects is unprecedented and has not been
matched by robots yet. The goal-oriented coordination requires the consideration of both …

The generation of bimanual object manipulation sequences given a semantic action label
has broad applications in collaborative robots or augmented reality. This relatively new …

Abstract The Tactile Internet aims to advance human-human and human-machine
interactions that also utilize hand movements in real, digitized, and remote environments …

A variety of real-world applications rely on accurate predictions of 3D human motion from
their past observations. While existing methods have made notable progress, their …

We consider the task of object grasping with a prosthetic hand capable of multiple grasp
types. In this setting, communicating the intended grasp type often requires a high user …