6 papers
JOIN: Anchor-Grasp-Conditioned Joining via Opposition, Inference, and Navigation for Bimanual Assistive Manipulation
Drake Moore, Matt Cheng, Xiang Zhi Tan +1
Assistive mobility and manipulation platforms have received increasing attention as a means of restoring independence to individuals with disabilities. While effective for many bas…
From 'What' to 'How' and 'Why': Sharing LLM-Generated Retrospective Summaries of Older Adults' Passive Tracking Data with Remote Family Members
Jiachen Li, Reina Szeyi Chan, Akshat Choube +3
With the growing prevalence of modern ubiquitous computing technologies, multi-modal tracking systems hold promise for providing timely awareness and reassurance to stakeholders su…
Remind Me To Check The Stove Before I Leave The House: Authoring Personalized Context-Aware Smart Home Reminders Using Everyday Language
Reina Szeyi Chan, Sujendra Jayant Gharat, Maya Lampi +3
Reminder systems commonly rely on fixed schedules, location triggers, or simple rules, limiting their ability to leverage the rich sensing capabilities of modern smart homes. A key…
A Checklist for Deploying Robots in Public: Articulating Tacit Knowledge in the HRI Community
Claire Liang, Franziska Babel, Hannah Pelikan +2
Many of the challenges encountered in in-the-wild public deployments of robots remain undocumented despite sharing many common pitfalls. This creates a high barrier of entry and re…
"Meet My Sidekick!": Effects of Separate Identities and Control of a Single Robot in HRI
Drake Moore, Arushi Aggarwal, Emily Taylor +3
The presentation of a robot's capability and identity directly influences a human collaborator's perception and implicit trust in the robot. Unlike humans, a physical robot can sim…
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan +1
When assisting people in daily tasks, robots need to accurately interpret visual cues and respond effectively in diverse safety-critical situations, such as sharp objects on the fl…