72 citations · 359 across the 23 of their papers we have counts for
10 papers · 1 filter
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…
Communicating Robot's Intentions while Assisting Users via Augmented Reality
Chao Wang, Theodoros Stouraitis, Anna Belardinelli +2
This paper explores the challenges faced by assistive robots in effectively cooperating with humans, requiring them to anticipate human behavior, predict their actions' impact, and…
Learning Type-Generalized Actions for Symbolic Planning
Daniel Tanneberg, Michael Gienger
Symbolic planning is a powerful technique to solve complex tasks that require long sequences of actions and can equip an intelligent agent with complex behavior. The downside of th…
A Glimpse in ChatGPT Capabilities and its impact for AI research
Frank Joublin, Antonello Ceravola, Joerg Deigmoeller +3
Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Te…
Understanding the Uncertainty Loop of Human-Robot Interaction
Jan Leusmann, Chao Wang, Michael Gienger +2
Recently the field of Human-Robot Interaction gained popularity, due to the wide range of possibilities of how robots can support humans during daily tasks. One form of supportive…
Learning from Few Demonstrations with Frame-Weighted Motion Generation
Jianyong Sun, Jens Kober, Michael Gienger +1
Learning from Demonstration (LfD) enables robots to acquire versatile skills by learning motion policies from human demonstrations. It endows users with an intuitive interface to t…
Robotic Fabric Flattening with Wrinkle Direction Detection
Yulei Qiu, Jihong Zhu, Cosimo Della Santina +2
Deformable Object Manipulation (DOM) is an important field of research as it contributes to practical tasks such as automatic cloth handling, cable routing, surgical operation, etc…
Explainable Human-Robot Training and Cooperation with Augmented Reality
Chao Wang, Anna Belardinelli, Stephan Hasler +3
The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily taught and interacted with, even by users with…
Do You Need a Hand? -- a Bimanual Robotic Dressing Assistance Scheme
Jihong Zhu, Michael Gienger, Giovanni Franzese +1
Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most rob…