2 citations · 2 across the 9 of their papers we have counts for
9 papers
ARIS: Agentic and Relationship Intelligence System for Social Robots
Stavya Datta, Fucai Ke, Leimin Tian +1
Foundational models have advanced social robotics, enabling richer perception and communicative interaction with users. However, current systems still struggle with multi-turn enga…
Influence of Operator Expertise on Robot Supervision and Intervention
Yanran Jiang, Pavan Sikka, Leimin Tian +2
With increasing levels of robot autonomy, robots are increasingly being supervised by users with varying levels of robotics expertise. As the diversity of the user population incre…
Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences
Emmanuel Fashae, Michael Burke, Leimin Tian +2
Robotic systems for household object rearrangement often rely on latent preference models inferred from human demonstrations. While effective at prediction, these models offer limi…
A Service Robot's Guide to Interacting with Busy Customers
Suraj Nukala, Meera Sushma, Leimin Tian +2
The growing use of service robots in hospitality highlights the need to understand how to effectively communicate with pre-occupied customers. This study investigates the efficacy…
A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study
Hashini Senaratne, Leimin Tian, Pavan Sikka +4
In human-robot teams, human situational awareness is the operator's conscious knowledge of the team's states, actions, plans and their environment. Appropriate human situational aw…
Explaining Facial Expression Recognition
Sanjeev Nahulanthran, Leimin Tian, Dana Kulić +1
Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utiliz…
"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition
Sanjeev Nahulanthran, Mor Vered, Leimin Tian +1
Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is conti…
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
Xingrui Gu, Chuyi Jiang, Erte Wang +5
Traditional machine learning methods for movement recognition often struggle with limited model interpretability and a lack of insight into human movement dynamics. This study intr…
"One Soy Latte for Daniel": Visual and Movement Communication of Intention from a Robot Waiter to a Group of Customers
Seung Chan Hong, Leimin Tian, Akansel Cosgun +1
Service robots are increasingly employed in the hospitality industry for delivering food orders in restaurants. However, in current practice the robot often arrives at a fixed loca…