no code implementations • 22 Mar 2024 • Adrian Röfer, Nick Heppert, Abdallah Ayman, Eugenio Chisari, Abhinav Valada
We frame this problem as the task of learning a low-dimensional visual-tactile embedding, wherein we encode a depth patch from which we decode the tactile signal.
no code implementations • 5 Feb 2022 • Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada
As robotic systems become more and more capable of assisting humans in their everyday lives, we must consider the opportunities for these artificial agents to make their human collaborators feel unsafe or to treat them unfairly.
no code implementations • 25 Nov 2021 • Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
A core challenge for an autonomous agent acting in the real world is to adapt its repertoire of skills to cope with its noisy perception and dynamics.
no code implementations • 18 Jun 2020 • Zhen Zeng, Adrian Röfer, Odest Chadwicke Jenkins
SLiM simultaneously maintains the belief over a target object's location as well as landmark objects' locations, while accounting for probabilistic inter-object spatial relations.