3 citations · 3 across the 1 of their papers we have counts for
11 papers · 1 filter
Learning Deep Dynamical Systems using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
Learning complex trajectories from demonstrations in robotic tasks has been effectively addressed through the utilization of Dynamical Systems (DS). State-of-the-art DS learning me…
Impact-Aware Bimanual Catching of Large-Momentum Objects
Lei Yan, Theodoros Stouraitis, João Moura +3
This paper investigates one of the most challenging tasks in dynamic manipulation -- catching large-momentum moving objects. Beyond the realm of quasi-static manipulation, dealing…
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
Daniel Tanneberg, Felix Ocker, Stephan Hasler +6
How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It…
LaMI: Large Language Models for Multi-Modal Human-Robot Interaction
Chao Wang, Stephan Hasler, Daniel Tanneberg +5
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex…
CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin, Antonello Ceravola, Pavel Smirnov +7
In the pursuit of fully autonomous robotic systems capable of taking over tasks traditionally performed by humans, the complexity of open-world environments poses a considerable ch…
Predictive and Robust Robot Assistance for Sequential Manipulation
Theodoros Stouraitis, Michael Gienger
This paper presents a novel concept to support physically impaired humans in daily object manipulation tasks with a robot. Given a user's manipulation sequence, we propose a predic…