activity
20242026
collaborators

8 papers

cs.RO2026

PoseRefer: Pathway-Local Parameters for Semantically Grounded Reference Resolution

Anna Deichler

A robot resolving ``put the cup on that one'' must fuse gesture, language, and scene geometry, yet 3D grounding benchmarks only partially capture this regime: descriptions are writ…

cs.CV2026

MM-Conv: A Multimodal Dataset and Benchmark for Context-Aware Grounding in 3D Dialogue

Anna Deichler, Jim O'Regan, Fethiye Irmak Dogan +4

Grounding language in the physical world requires AI systems to interpret references that emerge dynamically during conversation. While current vision-language models (VLMs) excel…

cs.CV2025

Look and Tell: A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views

Anna Deichler, Jonas Beskow

We introduce Look and Tell, a multimodal dataset for studying referential communication across egocentric and exocentric perspectives. Using Meta Project Aria smart glasses and sta…

cs.RO2025

Towards Context-Aware Human-like Pointing Gestures with RL Motion Imitation

Anna Deichler, Siyang Wang, Simon Alexanderson +1

Pointing is a key mode of interaction with robots, yet most prior work has focused on recognition rather than generation. We present a motion capture dataset of human pointing gest…

cs.HC2025

Gesture Evaluation in Virtual Reality

Axel Wiebe Werner, Jonas Beskow, Anna Deichler

Gestures are central to human communication, enriching interactions through non-verbal expression. Virtual avatars increasingly use AI-generated gestures to enhance life-likeness,…

cs.RO2025

Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents

Anna Deichler, Siyang Wang, Simon Alexanderson +1

One of the main goals of robotics and intelligent agent research is to enable natural communication with humans in physically situated settings. While recent work has focused on ve…