Phoebe Liu
Dados Biográficos
| ID | 4435582 |
|---|---|
| NOME | Phoebe Liu |
| PRENOMES | Phoebe |
| SOBRENOME | Liu |
| ASSINATURA | LIU P |
| AFILIAÇÕES | University of Sheffield |
| ORCID | 0000-0003-3582-5267 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 4 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2016 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
The origins of animal traction in Britain
Animal traction is one of the key technological innovations that drove socioeconomic transformations in prehistoric societies. However, its emergence in Britain has remained poorly understood, mainly due to the limited preservation of physical evidence and the absence of iconographic representations associated with animal traction. Given the fragmented artefactual evidence, the osteological approach is the most promising method for advancing unde…
Spavin in modern and archaeological cattle
OBJECTIVE: To investigate the correlations of biological factors, including age, body size, and sex, with the occurrence of spavin, demonstrating that using spavin to indicate cattle use for draught work from archaeological sites is questionable. MATERIALS: Metatarsals from 126 modern non-draught cattle kept under similar conditions, along with published data of 18 draught oxen. RESULTS: This study demonstrates that spavin strongly correlates wit…
In search of draught cattle
Curiosity Did Not Kill the Robot
Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …
A Model for Generating Socially-Appropriate Deictic Behaviors Towards People
In search of draught cattle
Curiosity Did Not Kill the Robot
Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …
A Model for Generating Socially-Appropriate Deictic Behaviors Towards People
A Model for Generating Socially-Appropriate Deictic Behaviors Towards People
Curiosity Did Not Kill the Robot
Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …
Spavin in modern and archaeological cattle
OBJECTIVE: To investigate the correlations of biological factors, including age, body size, and sex, with the occurrence of spavin, demonstrating that using spavin to indicate cattle use for draught work from archaeological sites is questionable. MATERIALS: Metatarsals from 126 modern non-draught cattle kept under similar conditions, along with published data of 18 draught oxen. RESULTS: This study demonstrates that spavin strongly correlates wit…
In search of draught cattle
The origins of animal traction in Britain
Animal traction is one of the key technological innovations that drove socioeconomic transformations in prehistoric societies. However, its emergence in Britain has remained poorly understood, mainly due to the limited preservation of physical evidence and the absence of iconographic representations associated with animal traction. Given the fragmented artefactual evidence, the osteological approach is the most promising method for advancing unde…
Archaeology and ancient environmental studies (2 obras) · Artificial Intelligence (2 obras) · Biology (2 obras) · Computer Science (2 obras) · Geography (2 obras) · Human–computer interaction (2 obras) · Pleistocene-Era Hominins and Archaeology (2 obras) · Psychology (2 obras) · Robot (2 obras) · Social Robot Interaction and HRI (2 obras)