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Human-robot interaction is advancing through innovative frameworks that enhance communication and understanding between robots and users. Recent developments focus on improving intention recognition, personalization, and safety in interactions. Techniques such as multimodal perception, gaze estimation, and gesture recognition are being integrated to create more intuitive and responsive systems. These advancements are crucial for builders aiming to deploy robots in real-world scenarios, as they address the complexities of human behavior and interaction dynamics. By leveraging these technologies, robots can better interpret user intent, adapt to individual preferences, and ensure safe collaboration, thereby increasing their utility in various applications, from healthcare to public spaces.
Topic-specific paper and score movement from the daily diff ledger.
Improving the effectiveness of human-robot interaction requires social robots to accurately infer human goals through robust intention understanding. This challenge is particularly critical in multimo...
Existing human-robot interaction systems often lack mechanisms for sustained personalization and dynamic adaptation in multi-user environments, limiting their effectiveness in real-world deployments. ...
Long-range Human-Robot Interaction (HRI) remains underexplored. Within it, Command Source Identification (CSI) - determining who issued a command - is especially challenging due to multi-user and dist...
We present, to our knowledge, the first sign language-driven Vision-Language-Action (VLA) framework for intuitive and inclusive human-robot interaction. Unlike conventional approaches that rely on glo...
In this paper, we present a novel probabilistic safe control framework for human-robot interaction that combines control barrier functions (CBFs) with conformal risk control to provide formal safety g...
In human-robot interaction (HRI), detecting a human's gaze helps robots interpret user attention and intent. However, most gaze detection approaches rely on specialized eye-tracking hardware, limiting...
Gaze is a valuable means of communication for impaired people with extremely limited motor capabilities. However, robust gaze-based intent recognition in multi-object environments is challenging due t...
In human-robot collaboration, a robot's expression of hesitancy is a critical factor that shapes human coordination strategies, attention allocation, and safety-related judgments. However, designing h...
Human-robot interaction combines robotics, cognitive science, and human factors to study collaborative systems. This paper introduces a method for identifying influential robot actions using transfer ...
We introduce MERGE, a system for situational grounding of actors, objects, and events in dynamic human-robot group interactions. Effective collaboration in such settings requires consistent situationa...
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Canonical route: /topics
Agent Handoff
Canonical ID human-robot-interaction | Route /topic/human-robot-interaction
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/human-robot-interactionMCP example
{
"tool": "search_papers",
"arguments": {
"query": "Human-Robot Interaction",
"cluster": "Human-Robot Interaction"
}
}source_context
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"paper_ref": null,
"topic_slug": "human-robot-interaction",
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}Use This Via API or MCP
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