Learning object placements for relational instructions by hallucinating scene representations
Robots coexisting with humans in their environment and performing services for them need
the ability to interact with them. One particular requirement for such robots is that they are …
the ability to interact with them. One particular requirement for such robots is that they are …
Evaluation of word representations in grounding natural language instructions through computational human-robot interaction
O Roesler, A Aly, T Taniguchi… - 2019 14th ACM/IEEE …, 2019 - ieeexplore.ieee.org
In order to interact with people in a natural way, a robot must be able to link words to objects
and actions. Although previous studies in the literature have investigated grounding, they …
and actions. Although previous studies in the literature have investigated grounding, they …
A probabilistic framework for comparing syntactic and semantic grounding of synonyms through cross-situational learning
Natural human-robot interaction requires robots to link words to objects and actions through
grounding. Although grounding has been investigated in previous studies, none of them …
grounding. Although grounding has been investigated in previous studies, none of them …
Endowing robots with longer-term autonomy by recovering from external disturbances in manipulation through grounded anomaly classification and recovery policies
Robots are poised to interact with humans in unstructured environments. Despite
increasingly robust control algorithms, failure modes arise whenever the underlying …
increasingly robust control algorithms, failure modes arise whenever the underlying …
Automatic selection of coordinate systems for learning relative and absolute spatial concepts
R Sagara, R Taguchi, A Taniguchi… - Frontiers in Robotics and …, 2022 - frontiersin.org
Robots employed in homes and offices need to adaptively learn spatial concepts using user
utterances. To learn and represent spatial concepts, the robot must estimate the coordinate …
utterances. To learn and represent spatial concepts, the robot must estimate the coordinate …
Grounded word learning on a pepper robot
In this demonstration, we will showcase realtime grounded language learning on the
humanoid robot Pepper. In particular, learning word-object and word-action mapping from …
humanoid robot Pepper. In particular, learning word-object and word-action mapping from …
Unsupervised online grounding for social robots
O Roesler, E Bagheri - Robotics, 2021 - mdpi.com
Robots that incorporate social norms in their behaviors are seen as more supportive,
friendly, and understanding. Since it is impossible to manually specify the most appropriate …
friendly, and understanding. Since it is impossible to manually specify the most appropriate …
A probabilistic approach to unsupervised induction of combinatory categorial grammar in situated human-robot interaction
Robots are progressively moving into spaces that have been primarily shaped by human
agency; they collaborate with human users in different tasks that require them to understand …
agency; they collaborate with human users in different tasks that require them to understand …
Unsupervised Online Grounding of Natural Language during Human-Robot Interactions
O Roesler - arXiv preprint arXiv:2007.04304, 2020 - arxiv.org
Allowing humans to communicate through natural language with robots requires
connections between words and percepts. The process of creating these connections is …
connections between words and percepts. The process of creating these connections is …
Natural task learning through simultaneous language grounding and action learning
O Roesler - 2023 - centaur.reading.ac.uk
Artificial agents and in particular robots, ie agents with some form of embodiment, provide
nearly unlimited possibilities to support humans in their daily lives by reliably performing …
nearly unlimited possibilities to support humans in their daily lives by reliably performing …