4 citations · 6 across the 4 of their papers we have counts for
5 papers
Learning Joint Space Reference Manifold for Reliable Physical Assistance
Amirreza Razmjoo, Tilen Brecelj, Kristina Savevska +3
This paper presents a study on the use of the Talos humanoid robot for performing assistive sit-to-stand or stand-to-sit tasks. In such tasks, the human exerts a large amount of fo…
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams +6
Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents. The core concept -- reusing prior knowledge to learn in and from novel situat…
A reconfigurable robot workcell for quick set-up of assembly processes
Timotej Gašpar, Miha Deniša, Aleš Ude
High volume production has been a prerequisite in order to invest into automation of the manufacturing process for decades. The high cost of setup and the inflexibility of classica…
Learning Task-Specific Dynamics to Improve Whole-Body Control
Andrej Gams, Sean A. Mason, Aleš Ude +2
In task-based inverse dynamics control, reference accelerations used to follow a desired plan can be broken down into feedforward and feedback trajectories. The feedback term accou…
Compliant Movement Primitives in a Bimanual Setting
Aleksandar Batinica, Bojan Nemec, Aleš Ude +2
Simultaneously achieving low trajectory errors and compliant control \emph{without} explicit models of the task was effectively addressed with Compliant Movement Primitives (CMP).…