English
Related papers

Related papers: Model Reconciliation through Explainability and Co…

200 papers

We have a vision of a day when autonomous robots can collaborate with humans as assistants in performing complex tasks in the physical world. This vision includes that the robots will have the ability to communicate with their human…

Robotics · Computer Science 2025-09-22 Peter Lindes , Kaoutar Skiker

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. Robots can…

Robotics · Computer Science 2022-02-08 Laura Londoño , Adrian Röfer , Tim Welschehold , Abhinav Valada

Imitation learning with visual observations is notoriously inefficient when addressed with end-to-end behavioural cloning methods. In this paper, we explore an alternative paradigm which decomposes reasoning into three phases. First, a…

Robotics · Computer Science 2023-12-20 Norman Di Palo , Edward Johns

Robots have been increasingly better at doing tasks for humans by learning from their feedback, but still often suffer from model misalignment due to missing or incorrectly learned features. When the features the robot needs to learn to…

Robotics · Computer Science 2023-04-14 Inês Lourenço , Andreea Bobu , Cristian R. Rojas , Bo Wahlberg

Purpose of Review: To effectively synthesise and analyse multi-robot behaviour, we require formal task-level models which accurately capture multi-robot execution. In this paper, we review modelling formalisms for multi-robot systems under…

Robotics · Computer Science 2023-08-16 Charlie Street , Masoumeh Mansouri , Bruno Lacerda

When personal, assistive, and interactive robots make mistakes, humans naturally and intuitively correct those mistakes through physical interaction. In simple situations, one correction is sufficient to convey what the human wants. But…

Robotics · Computer Science 2021-04-02 Mengxi Li , Alper Canberk , Dylan P. Losey , Dorsa Sadigh

Large language models have advanced rapidly, from pattern recognition to emerging forms of reasoning, yet they remain confined to linguistic simulation rather than grounded understanding. They can produce fluent outputs that resemble…

Artificial Intelligence · Computer Science 2026-04-17 Rikard Rosenbacke , Carl Rosenbacke , Victor Rosenbacke , Martin McKee

It is important for socially assistive robots to be able to recognize when a user needs and wants help. Such robots need to be able to recognize human needs in a real-time manner so that they can provide timely assistance. We propose an…

Robotics · Computer Science 2021-10-22 Jason R. Wilson , Phyo Thuta Aung , Isabelle Boucher

A number of coordinated behaviors have been proposed for achieving specific tasks for multi-robot systems. However, since most applications require more than one such behavior, one needs to be able to compose together sequences of behaviors…

Robotics · Computer Science 2020-03-04 Pietro Pierpaoli , Anqi Li , Mohit Srinivasan , Xiaoyi Cai , Samuel Coogan , Magnus Egerstedt

Wheelchair-mounted robotic arms (and other assistive robots) should help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within shared autonomy, both the human and robot maintain control…

Robotics · Computer Science 2021-09-29 Ananth Jonnavittula , Dylan P. Losey

Intelligent agents such as robots are increasingly deployed in real-world, safety-critical settings. It is vital that these agents are able to explain the reasoning behind their decisions to human counterparts; however, their behavior is…

Machine Learning · Computer Science 2023-12-01 Xijia Zhang , Yue Guo , Simon Stepputtis , Katia Sycara , Joseph Campbell

Reports of human-like behaviors in foundation models are growing, with psychological theories providing enduring tools to investigate these behaviors. However, current research tends to directly apply these human-oriented tools without…

Computation and Language · Computer Science 2023-10-18 Enyu Zhou , Rui Zheng , Zhiheng Xi , Songyang Gao , Xiaoran Fan , Zichu Fei , Jingting Ye , Tao Gui , Qi Zhang , Xuanjing Huang

Robots interacting with the physical world plan with models of physics. We advocate that robots interacting with people need to plan with models of cognition. This writeup summarizes the insights we have gained in integrating computational…

Robotics · Computer Science 2017-07-05 Anca D. Dragan

In human-robot collaboration, robot errors are inevitable -- damaging user trust, willingness to work together, and task performance. Prior work has shown that people naturally respond to robot errors socially and that in social…

Robotics · Computer Science 2022-08-02 Maia Stiber , Russell Taylor , Chien-Ming Huang

Humans interacting with robots often form predictions of what the robot will do next. For instance, based on the recent behavior of an autonomous car, a nearby human driver might predict that the car is going to remain in the same lane. It…

Robotics · Computer Science 2025-03-04 Sagar Parekh , Lauren Bramblett , Nicola Bezzo , Dylan P. Losey

This paper demonstrates the groundwork for the structure and nature of Human-Robot Cognitive Coupling.The human mind is best at associating objects, while digital devices can only compare. Successful communication between robot and human…

Robotics · Computer Science 2018-01-30 Yusuke Inoune , Agunar Prayit

To facilitate effective human-robot interaction (HRI), trust-aware HRI has been proposed, wherein the robotic agent explicitly considers the human's trust during its planning and decision making. The success of trust-aware HRI depends on…

Robotics · Computer Science 2021-03-19 Yaohui Guo , Cong Shi , X. Jessie Yang

For social robots to be brought more into widespread use in the fields of companionship, care taking and domestic help, they must be capable of demonstrating social intelligence. In order to be acceptable, they must exhibit…

Artificial Intelligence · Computer Science 2018-11-02 Ankuj Arora , Humbert Fiorino , Damien Pellier , Sylvie Pesty

Most object manipulation strategies for robots are based on the assumption that the object is rigid (i.e., with fixed geometry) and the goal's details have been fully specified (e.g., the exact target pose). However, there are many tasks…

Robotics · Computer Science 2022-09-14 Shengzeng Huo , Fangyuan Wang , Luyin Hu , Peng Zhou , Jihong Zhu , Hesheng Wang , David Navarro-Alarcon

For successful goal-directed human-robot interaction, the robot should adapt to the intentions and actions of the collaborating human. This can be supported by musculoskeletal or data-driven human models, where the former are limited to…

Robotics · Computer Science 2026-02-17 Kevin Haninger , Luka Peternel